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To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a science teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level., • Become a highly skilled problem solver able to tackle challenges in and out of the classroom., • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly., • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance., • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. What We Look For • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a science teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level., • Become a highly skilled problem solver able to tackle challenges in and out of the classroom., • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly., • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance., • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. What We Look For • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a science teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level., • Become a highly skilled problem solver able to tackle challenges in and out of the classroom., • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly., • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance., • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. What We Look For • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a science teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level., • Become a highly skilled problem solver able to tackle challenges in and out of the classroom., • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly., • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance., • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. What We Look For • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Key Responsibilities Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level., • Become a highly skilled problem solver able to tackle challenges in and out of the classroom., • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly., • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance., • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. What We Look For • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities: Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications: • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

Job Description Build your best future with the Easy Ice team- Cool Careers Start Here! We’re a growing company that provides an all-inclusive commercial ice machine subscription to business owners nationwide. We’ve been changing our industry for the better since we started in 2009, and we’re not slowing down anytime soon. As a member of our team, you’ll be helping restaurants, bars, hospitals, hotels, and other businesses get the ice they need without spending a fortune or stressing out. We’ll invest in your professional development and overall quality of life because we know employee satisfaction is key to our success. Easy Ice doesn’t just want to be the #1 commercial ice machine solution in America—we also want to be one of the best places to work. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Easy Ice team and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! What we offer • Competitive pay, • Company Vehicle & Cell Phone, • Excellent Medical/Dental/Vision/Group Life, • 401k Company Match, • PTO and Holiday Pay, • Fitness Membership Reimbursement, • Hands on experience that promotes a growth-oriented culture, • Personal growth opportunities which encourages employees to “think outside the box”, • Challenging and meaningful work that fosters learning and development, • Fun fast-paced company culture and work environment, • Collaborative team environment to support and mentor each other, • Check us Out: Easy Ice What you will do: The Technician II is an exciting and dynamic position that will appeal to a creative, resourceful, high-energy, and organized person who thrives in service-oriented and customer-facing situations. The Technician II is a vital member of the Easy Ice service team, responsible for ensuring the optimal performance and reliability of ice machines through proficient installation, cleaning, maintenance, and troubleshooting. The ideal Technician II is results-oriented, driven by a passion for delivering exceptional customer service, and possesses a strong work ethic that inspires collaboration and excellence among colleagues. The Technician II will focus on maximizing equipment lifespan, minimizing service calls and emergency ice purchases, and ultimately enhancing customer satisfaction and loyalty. Key responsibilities include providing outstanding service and support during on-site visits, forging positive relationships with customers, managing installation and repair tasks, accurately diagnosing and resolving technical issues, training and support of less experienced technicians, and completing detailed service reports to improve future service quality. The Technician II will also maintain proper truck stock and supplies during field operations, maintain company vehicles in accordance with established policies, and uphold the Easy Ice brand image with professionalism and positive engagement. The successful candidate will embody a flexible, self-motivated approach to work, thrive in a fast-paced environment, and be dedicated to fostering a strong team dynamic while contributing to overall business growth and success. A successful Technician II will drive the following outcomes: • Deliver exceptional service that fosters positive relationships with customers, ensuring they are consistently satisfied with both the quality of service and the performance of their ice machines, • Perform thorough installation, repair, maintenance, cleaning, and troubleshooting of ice machines to improve their performance and longevity, thereby reducing the frequency of service calls and emergency ice purchases, • The Tech II may be required to lead the installation process, driving excellence by exceeding customer expectations with accurate, timely, and efficient installation of ice machine equipment, • Accurately diagnose and resolve technical issues on the first visit, minimizing downtime for customers and enhancing their overall experience, • Achieve or exceed performance metrics related to service response times, resolution rates, and customer feedback, demonstrating accountability and commitment to excellence Demonstrate flexibility in work schedules and adapt to changing operational demands while actively seeking opportunities for personal and professional growth within the field. How you will do it: • The Technician II is a progression from Technician I. All levels of Technician - I, II, and III, are responsible for the installation, cleaning, preventative maintenance, trouble shooting, and repair of ice machine equipment as required. This may include bagging/delivering ice, or other duties as assigned., • Install, clean, maintain, troubleshoot and install Easy Ice equipment, with the goal to increase equipment life and reliability, reduce service calls, and reduce emergency ice purchases, • Provide service and customer support during field visits with a strong emphasis on building positive relationships with customers, • Train and mentor less senior technicians as required, • Manage on-site installation, repair, maintenance and test tasks, • Diagnose errors or technical problems and determine proper solutions, • Communicate effectively with coworkers and customers to ensure all work orders and assignments are completed on time and per Easy Ice standard operating procedures, • Accurately document all actions performed during service visits by taking required photos, completing forms, reports, logs, and maintaining clear records of maintenance activities, • Ensure proper truck stock at all times, avoiding unnecessary return trips and delays in customer service, • Manage the pickup and delivery of ice as needed for service calls, ensuring timely and efficient service for customers, • Facilitate the processing of accurate payments from customers and assist in the proper shutdown or removal of equipment when necessary, • Assist in maintaining a clean, organized, and safe work environment in the shop when applicable by adhering to all safety protocols and cleanliness standards, • Ensure vehicle cleanliness and organization, removing all ice and trash at the end of each shift to improve safety and to uphold a professional appearanceWhat we are look for: Education: High school diploma or general education degree (GED) Vocational/Technical Training preferred Experience: • 1+ year experience in the diagnosis and repair of commercial equipment (prior experience with refrigeration, electrical, HVAC, ice machines, or related equipment), • EPA 2 Certification, • Working knowledge of mobile tools and applications, • Experience in and the ability to demonstrate volt meter operations, • Ability to work a full-time schedule which includes a rotating on-call schedule, • Strong communication skills to effectively interact with customers and team members, • Problem solving abilities and a proactive approach to addressing repair and maintenance issues, • Ability to manage time effectively and prioritize tasks to ensure service calls are completed in a timely manner, • Skills in maintaining organized records and documentation of service activities, • Demonstrated track record of delivering highest level of customer satisfaction Certificates, Licenses and Registrations: • EPA 2 Certification Additional Required Attributes:, • High-energy individual with a positive attitude and strong commitment to customer satisfaction, • Willingness to learn and adapt to new technologies and service protocols in the field of ice machine repair and maintenance, • Strong work ethic and dedication to new technologies and service protocols in the field of ice machine repair and maintenanceWork Environment and Physical Demands:, • The employee is often required to stand; walk; sit; use ladders; use hands to manipulate, handle, or feel surfaces, parts and tools; reach with hands and arms and stoop, kneel, crouch, or crawl, • Occasionally lift and/or move up to 75 pounds, • Stands for extended periods of time (6+ hours per day), • While the noise level in the work environment is usually somewhat quiet, the worker may be subject to elevated noise levels, • Drive a vehicle for up to 60 percent of the hours worked, • Ability to work flexible shifts and adapt to changing work schedules The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be an exhaustive list of all job duties performed by the personnel so classified. Easy Ice is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information or any other characteristic protected by applicable federal, state or local laws.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. \n \n\n Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. \nHiring for School Year 2026-27!\n Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a science teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. \n A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. \n As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. \n Teaching certification and Master's degrees are not required for this role. \n Key Responsibilities \n Lesson Planning and Instruction \n\n • Study and implement lesson plans that align with curriculum standards.\n, • Utilize a variety of instructional strategies and technologies to enhance learning.\n, • Manage a classroom of 20+ scholars.\n\n Assessment and Evaluation \n\n • Assess student progress through assignments, tests, and observations.\n, • Provide timely feedback and support to help students improve.\n, • Maintain accurate records of student performance and progress.\n\n Classroom Management \n\n • Establish and enforce classroom rules and procedures to maintain a productive learning environment.\n\n Communication and Collaboration \n\n • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues.\n, • Collaborate with other teachers, staff, and administration to support student success.\n\n Career Advancement and Skill Development \n Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. \n\n • Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. This is inclusive of writing letters of recommendation at the middle school and high school level.\n, • Become a highly skilled problem solver able to tackle challenges in and out of the classroom.\n, • Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly.\n, • Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance.\n, • Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. \n\n Minimum Qualifications \n\n • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required).\n, • Strong communication and interpersonal skills.\n, • Passion for learning and commitment to student development.\n, • Ability to work in person in New York City.\n\n What We Look For \n\n • Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them;\n, • Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment;\n, • Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you;\n, • Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities;\n, • Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds;\n, • Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and\n, • Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth.\n\n At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! \n Health & Wellbeing that Starts Day One \n\n • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage.\n, • Employees receive a $50 cellphone stipend every month! ($600 annually)\n, • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses.\n, • Free and confidential counseling through our Employee Assistance Program and Talkspace.\n, • Backup care for children and adults, fitness and travel discounts.\n\n Time to Recharge \n\n • Enjoy paid time off during summer break, school vacation weeks, and holidays \n, • Generous paid parental leave for new parents. \n\n Accelerated Growth & Recognition \n\n • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years. \n, • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives\n, • An employee recognition program that offers opportunities for awards and acknowledgment.\n\n Financial Security for Your Future \n\n • 403(b) retirement plan with a 3% employer match.\n, • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!\n, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage.\n, • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans.\n, • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching.\n\n\n \n \n Exact compensation may vary based on skills and experience. \n \n \n Compensation Range\n \n \n $65,000—$75,000 USD\n \n \n\n\n Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. \n Privacy Policy: \n By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our Privacy Policy. \n We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. \n Success Academy Charter Schools does not offer employment-based immigration sponsorship. \n\n

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. \n \n\n Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. \nHiring for School Year 2026-27!\n At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. \n Why Success Academy? \n More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. \n What We Look For \n Teaching certification and Master's degrees are not required for this role. \n\n • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar.\n, • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners.\n, • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges. \n, • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel.\n\n Here’s What You’ll Get \n\n • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential.\n, • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution.\n, • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder.\n\n Key Responsibilities \n Lesson Planning and Instruction \n\n • Study and implement lesson plans that align with curriculum standards.\n, • Utilize a variety of instructional strategies and technologies to enhance learning.\n, • Manage a classroom of 20+ scholars.\n\n Assessment and Evaluation \n\n • Assess student progress through assignments, tests, and observations.\n, • Provide timely feedback and support to help students improve.\n, • Maintain accurate records of student performance and progress.\n\n Classroom Management \n\n • Establish and enforce classroom rules and procedures to maintain a productive learning environment.\n\n Communication and Collaboration \n\n • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues.\n, • Collaborate with other teachers, staff, and administration to support student success.\n\n Minimum Qualifications \n\n • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required).\n, • Strong communication and interpersonal skills.\n, • Passion for learning and commitment to student development.\n, • Ability to work in person in New York City.\n\n At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! \n Health & Wellbeing that Starts Day One \n\n • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage.\n, • Employees receive a $50 cellphone stipend every month! ($600 annually)\n, • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses.\n, • Free and confidential counseling through our Employee Assistance Program and Talkspace.\n, • Backup care for children and adults, fitness and travel discounts.\n\n Time to Recharge \n\n • Enjoy paid time off during summer break, school vacation weeks, and holidays \n, • Generous paid parental leave for new parents. \n\n Accelerated Growth & Recognition \n\n • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years. \n, • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives\n, • An employee recognition program that offers opportunities for awards and acknowledgment.\n\n Financial Security for Your Future \n\n • 403(b) retirement plan with a 3% employer match.\n, • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!\n, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage.\n, • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans.\n, • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching.\n\n\n \n \n Exact compensation may vary based on skills and experience. \n \n \n Compensation Range\n \n \n $65,000—$75,000 USD\n \n \n\n\n Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. \n Privacy Policy: \n By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our Privacy Policy. \n We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. \n Success Academy Charter Schools does not offer employment-based immigration sponsorship. \n\n

Who You’ll Work With: We are looking for a senior client facing Advisor with a successful track record in insurance General Account sales to join AB’s growing North American Insurance team. Along with managing our broad insurance business, the team is responsible for serving and retaining our current General Account clients and to growing our business in North America (US, Canada and Bermuda). The candidate will partner across AB with our Insurance Business Development, Investment (Fixed Income, Private/Public Alternatives, Equities, Multi-Asset), Distribution (Subadvisory, Institutional, etc.) and Operations/IT/Fiduciary Services teams to quarterback a team approach for a select group of Insurers as we build relationships, deepen trust, and develop new business with Chief Investment Officers, Chief Financial Officers, Chief Risk Officers, and their staffs. Our team builds trust daily and we value (“our DNA”): • Clients First, • Partnership (collaborative, continuous feedback, supportive of each other), • Grit (perseverance and passion for long-term goals) and Execution Orientation, • Clear/Concise/Compelling Communications, • Intellectually Curiosity What You’ll Do: As a senior external-facing member of our North American Insurance team, critical responsibilities include the servicing, growth, and retention of existing clients and the development of new business with prospects. The Advisor will also support other firm-wide initiatives such as the broader Global Client Group’s development and knowledge sharing, global insurance strategy development, new product development, talent development (especially for our future advisors). To support AB’s growth goals in the Insurance General Account (GA) space, success in the Advisor role will be tied to: • Growth in AB’s GA client base - breadth/number of clients, depth of services for each client, growth of existing clients., • Leveraging experience to help build AB’s brand as a leader in the Insurance GA management space, • Development of strategic partnerships with large, complex Insurance, Reinsurance and PE backed companies, • Building Trust with internal AB clients globally, especially with investment, insurance operations, and business development, • Proactive time management and focus on highest probability of success and value -added activities, • Helping to develop the GA base/territory strategy and then proactively creating a prospecting and base management plan including strategic overviews of key relationships, • Lead/Facilitate mutually agreed upon number of prospecting meetings (emphasizing quality over quantity), • Partnering with AB thought leaders and experts to develop intellectual capital and new product development within our insurance, investment services, or broader firm focus areas, • Quickly becoming a valued partner who supports colleagues, values professional development and lifelong learning. Serves as a mentor and coach for AB’s Diversity, Equity and Inclusion (DEI) efforts and professional development programs. What We’re Looking For: The ideal candidate should have: • 10+ years of successful insurance related GA sales and client servicing experience. Additional experience in insurance portfolio management or fixed income portfolio management would be especially valued., • Bachelor’s degree. MBA and/or CFA, FSA, CAIA, etc. is preferred., • FINRA Series 7 and 66 (or equivalent; can be acquired post hire)., • Passion for lifelong learning and coaching., • Courage to demonstrate unquestioned integrity and support for AB and personal values. Thrives in a culture of candor, admits when they don’t have the answer, and seeks new perspectives. Values collaboration across all levels., • Ability to build trust through credibility, reliability, intimacy, and a focus on our clients, • Bias towards action and execution with willingness to take calculated risks, ask questions, and remain accountable for results, • Concise and intuitive in both written and spoken language. Adept at synthesis to tell a story and arrive at a compelling conclusion, • Technical experience/fluency in portfolio management, risk management, or credit analysis. Familiarity with insurance specific needs such as Risk Based Capital (RBC) constraints, regulatory/NAIC frameworks, accounting/reporting requirements required, • Willingness to travel as required to meet internal and external client needs About AB We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us! All are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB’s policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria. In accordance with applicable law, the minimum and maximum base annual salary for this role is as follows: Base Salary Range: $250k to $300k Actual base salaries may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base salary is just one component of total compensation at AB, which may include, depending on eligibility, commissions, year-end incentive compensation, short- and long-term incentives and Department-specific awards. In addition, AB provides a variety of benefits to eligible employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays, sick and vacation time off. #LI-AJ1 #LI-Hybrid Chicago, ILNew York, New York

Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com. For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses. Job Description: Job Summary This role will serve as a trusted advisor to business stakeholders, translating complex business challenges into data-driven solutions that deliver measurable value. The ideal candidate will possess a strong blend of business acumen, analytics expertise, AI knowledge, and leadership capabilities. They will oversee cross-functional projects, manage stakeholder relationships, and guide teams in the design, implementation, and optimization of analytics and AI-driven solutions. Responsibilities Analytics Strategy & Consulting Partner with business leaders to identify opportunities where data, analytics, and AI can improve decision-making and operational efficiency. Develop analytics roadmaps aligned with business objectives and strategic priorities. Provide thought leadership on emerging trends in analytics, machine learning, generative AI, and data-driven transformation. Translate business requirements into actionable analytics and AI use cases. Data Analytics & Insights Lead the development of dashboards, reports, and KPI frameworks to monitor business performance. Oversee exploratory data analysis and advanced analytics initiatives to uncover actionable insights. Ensure data quality, governance, and consistency across reporting environments. Drive adoption of self-service analytics capabilities. Artificial Intelligence & Machine Learning Identify, evaluate, and implement AI, machine learning, and generative AI / large language model (LLM) solutions to address business challenges. Lead proof-of-concepts and pilot programs for predictive analytics, automation, NLP, recommendation systems, and generative AI applications, including LLM-powered chatbots, retrieval-augmented generation (RAG), and content generation. Collaborate with technical teams to operationalize AI, machine learning, and LLM models, including prompt engineering, fine-tuning, and ongoing performance monitoring. Establish best practices for responsible AI and generative AI usage, including governance, data privacy, model risk, and compliance. Stakeholder Management Serve as a trusted advisor to senior business leaders and executives. Present complex analytical findings and AI recommendations in a clear, business-focused manner. Facilitate workshops and strategy sessions to align stakeholders on priorities and solutions. Influence decision-making through data-driven insights. Team Leadership Lead and mentor analytics professionals, data scientists, and consultants. Manage project delivery timelines, resource allocation, and stakeholder expectations. Foster a culture of innovation, continuous learning, and collaboration. Support recruitment, training, and development of team members. Required Qualifications 7+ years in data analytics, business intelligence, data science, AI consulting, or related fields. Strong hands-on experience with AWS (or a comparable cloud platform such as Azure or Google Cloud). Strong SQL skills and solid Python programming. Practical knowledge of machine learning, including Generative AI and LLMs. Hands-on experience designing and delivering Decision Intelligence systems: build, integration, deployment, and ongoing monitoring. Demonstrated experience building AI/BI chatbot solutions: natural language querying over business data, governed data connections, and iterative refinement. Excellent communication, presentation, and stakeholder management skills. Qualifications Preferred Qualifications Experience delivering consulting engagements in media, publishing, digital content, advertising, or consumer-facing industries. Familiarity with modern data architectures, data lakes, and data warehouses. Experience with AI frameworks and tools such as OpenAI APIs, LangChain, MLflow, TensorFlow, PyTorch, or similar technologies. Professional certifications in cloud technologies, analytics, or AI. Key Competencies Strategic Thinking Data-Driven Decision Making AI & Analytics Leadership Executive Communication Stakeholder Management Project & Program Management Problem Solving & Innovation Team Development & Mentorship Success Measures Delivery of high-impact analytics and AI initiatives. Improved business performance through data-driven insights. Successful adoption of AI-enabled solutions. Strong stakeholder satisfaction and engagement. Development of scalable analytics capabilities and best practices. What we offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors The experience at EXL Analytics sets the stage for further growth and development in our company and beyond The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Part of the Interparfums group founded in 1982, Interparfums USA develops, manufactures and distributes prestige fragrances as the exclusive worldwide licensee for Abercrombie & Fitch, Anna Sui, DKNY, Donna Karan, Dunhill, Graff, GUESS, Hollister, MCM, Oscar de la Renta, Roberto Cavalli, Salvatore Ferragamo and Ungaro. Through its global distribution network, the Company’s products are sold in over 120 countries. The Manager, Packaging Development & Sourcing will manage, develop and launch new product and packaging solutions into the market, in addition to cost-saving initiatives and continuous improvement opportunities. To succeed in this role, you will have a technical background in Packaging Engineering, understand various fragrance packaging materials and configurations, and are able to execute multiple projects at once. This position is based in office from Mondays-Thursdays, and remote on Fridays. Key Responsibilities • Provide comprehensive feasibility and influence of each concept or package in terms of manufacturability, cost of goods, investments, and preliminary lead times, • Work with outside vendor and subcontracting partners to define specifications, design criteria, quality parameters, and expectations from component production through filing and assembly, • Responsible for recommendation of sourcing and supply chain strategy within a global portfolio of vendors, • Ensure all programs meet the needs of the Brand while maintaining design, quality, cost, functionality, manufacturability objectives, and on time delivery, • Evaluate risks and develop clear mitigation plans to the Operations team, • Drive innovation by presenting new packaging concepts, technologies, and market trends both within and outside o the industry to continuously support innovation, • Support on-going business to ensure stock coverage, • Perform other related duties as assigned Required Education/Experience • Bachelor’s degree in Packaging Engineering or related field, • 3+ years in of packaging development of engineering experience within Fragrance/Cosmetics industries, • Prior experience with glass forming required. Required Skills • Relevant understanding of packaging manufacturing, contract manufacturing production processes, • Technical competency and materials knowledge including: injection molding, glass forming and decoration, dispensing systems and folding carton/rigid box design, • Excellent communication skills, including written, verbal, and presentation; comfortable and credible with both internal and external partners, • Self-starter who will thrive in fast-paced, dynamic environment, • Possess a strong sense of urgency and ability to multi-task and pivot Travel Requirements This position may require travel based on business needs. Travel may include visits to company locations, clients, vendors, industry events, or other business-related activities. The frequency and duration of travel will vary depending on business demands and may include occasional overnight stays. Employees must be able and willing to travel as required to successfully perform the essential functions of the role. We Offer • The salary range for this position is $130,000 – $150,000 annually, commensurable with skills, experience, and qualifications, • Bonus opportunity based on personal and business performance, • Robust healthcare, insurance, and benefit options, • Paid time off policies including vacation, personal, holiday, and sick days, • 401K plus company match, • Options to support development, including complimentary access to LinkedIn Learning, • An entrepreneurial career with a dynamic environment where all voices are heard and appreciated, • Low hierarchy with high visibility to C-Suite on a regular basis, • A growing company with a proven track record of solid financial stability Interparfums USA, LLC is an Equal Opportunity Employer and is committed to providing fair and equitable employment opportunities in compliance with all applicable federal, state, and local laws.

We’re looking for a motivated and detail-oriented Senior Financial Analyst to join our Corporate Financial Planning & Analysis (FP&A) team. This is a highly visible role that combines traditional FP&A responsibilities with business analytics and data-driven reporting, regularly moving between financial analysis, business problem solving, data reconciliation, and the development of executive-level reporting and visualizations. This position offers significant exposure to senior leadership and provides opportunity to develop a broad understanding of the financial and operational drivers of a property and casualty insurance organization. RESPONSIBILITIES • Analyze Business Performance: Analyze financial and operating results to identify trends, explain variances, and provide insight into the key drivers of company performance., • Enterprise Metrics Reporting: Support the preparation and analysis of quarterly performance reporting to senior management, including recurring updates, validation of key metrics, development of new exhibits, and ad hoc follow-up analyses., • Capital Management: Support capital adequacy analysis and other capital management initiatives including forecasting, stress testing, and management reporting., • Ad Hoc Analysis: Perform financial modeling and deep-dive analysis for senior leadership, developing clear conclusions around business performance, underlying drivers, risks, and opportunities., • Data & Reporting Stewardship: Help maintain accurate and reliable enterprise reporting through consistent metric definitions, data validation, documentation, and appropriate reporting controls., • Work with Data Tools: Extract, reconcile, and analyze financial and operational data using SQL and AtScale cubes; develop clear dashboards and visualizations using Tableau or similar BI tools., • Partner Across the Organization: Work closely with FP&A, Corporate Finance, Product, Actuarial, IT and other business teams to support recurring reporting, strategic initiatives, and new analytical needs., • Process Improvement: Identify opportunities to improve and automate recurring processes, reporting, and analysis through better use of data, technology, and emerging tools. QUALIFICATIONS • Bachelor’s degree in Finance, Accounting, Economics, Data Analytics or another quantitative discipline., • 3-5 years of experience in FP&A, corporate finance, or a similar finance role., • Understanding of financial statements and the ability to connect financial and operating results to underlying business performance., • Advanced Microsoft Excel skills with demonstrated proficiency working efficiently with large datasets, financial models, and complex analyses., • Working knowledge of SQL to query, manipulate and reconcile data; willingness and aptitude to develop more advanced SQL skills., • Working knowledge of Tableau with an interest in developing more advanced dashboarding and visualization capabilities., • Excellent written and verbal communication skills to synthesize complex analysis into clear takeaways and confidently communicate findings to senior executive audiences., • Strong analytical and problem-solving skills, including the ability to investigate discrepancies, work through unfamiliar problems, and develop well-supported conclusions., • Strong organizational and time management skills with the ability to manage recurring deliverables and ad hoc requests across multiple priorities., • Intellectual curiosity, initiative, and demonstrated ability to learn new business concepts, analytical tools, and technologies., • Property and casualty insurance industry experience is preferred but not required. SALARY RANGE The pay range for this position is $94,000 to $123,500 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off to start, 8 paid national holidays per year, and 2 floating holidays, • Low cost and excellent health insurance coverage options (medical, dental, vision), • Annual 401(k) employer contribution, • Free onsite gym at our Woodbridge office, • Resources to promote professional development (LinkedIn Learning and licensure assistance), • Robust health and wellness program, as well as fitness reimbursements, • Various paid family leave options, including paid parental leave, • Tuition reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2.4 billion in personal and commercial auto and home insurance throughout the Northeast and Mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an AM Best rating of “A-/Excellent”.

Covington's Applied AI function exists to leverage advanced technology to positively impact the organization, the business, and client service delivery. The Applied AI team is responsible for designing, building, and deploying AI-enabled workflows, automation, and matter-support tools across the firm's legal practice areas. The Director of Applied AI will report to the Senior Director of AI to lead day-to-day delivery of the firm's applied AI roadmap, supervising practice-aligned Applied AI Managers across Corporate, Litigation, Regulatory, and White Collar. The Director will partner closely with the Director of Knowledge Management (KM) and Practice Technology to ensure that AI workflows and the underlying knowledge content advance in lockstep and will work directly with practice group leadership to identify, prioritize, and scale high-impact use cases that strengthen matter execution, attorney leverage, and client service delivery. ESSENTIAL DUTIES AND RESPONSIBILITIES: Primary duties and responsibilities necessary for successful job performance include: • Lead and develop the Applied AI Manager team across Corporate, Litigation, Regulatory, and White-Collar practice areas, establishing clear delivery expectations and a high-performance, learning-oriented culture., • Define and maintain firm-wide applied AI delivery standards, including reusable workflow patterns, prompt and agent design conventions, evaluation methods, and quality controls that ensure consistent, defensible AI-enabled work product across practices., • Partner with practice group leadership to identify, prioritize, and sequence AI use cases that improve matter execution, attorney leverage, and client service delivery, ensuring the highest-impact opportunities receive concentrated team focus., • Oversee the design, build, and deployment of AI-enabled tools spanning document review, drafting, diligence, discovery, regulatory monitoring, investigations support, and related legal workflows, scaling proven solutions from one practice area to others wherever feasible., • Drive firm-wide adoption of applied AI through training, demos, office hours, internal communications, and sustained enablement, partnering with practice group leadership, Learning & Development, and Communications to bring lawyers and business professionals along the learning curve., • Establish and report on adoption, performance, and value metrics for the firm's applied AI portfolio, surfacing actionable insights to the Senior Director of AI, CIO, and firm leadership., • Partner with the Director of KM and Practice Technology to ensure AI workflows are grounded in high-quality, AI-ready knowledge content, taxonomies, and practice-area data sources., • Coordinate with Information Security, Risk, and the Office of General Counsel on the responsible deployment of AI tools, including data handling, privilege protection, vendor due diligence, and AI governance., • Evaluate and manage external AI vendors and platforms, advising on build-versus-buy decisions and ensuring tools selected meet the firm's quality, security, and integration requirements., • Stay actively informed of developments in legal AI, large language models, agentic systems, and adjacent technologies, and proactively bring forward new opportunities, pilots, and pattern improvements., • Serve as a credible point of contact for partners, practice group leaders, and clients on the firm's applied AI capabilities, communicating in terms that resonate with legal and business audiences. KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: • Minimum of 8 years of transferable professional experience, with a meaningful portion in applied AI, machine learning, or legal technology delivery within a law firm, professional services organization, or comparable environment, including demonstrated experience leading teams and interfacing with senior leadership., • Track record of shipping AI-enabled tools or workflows into production with measurable adoption and impact; experience with LLM-based applications, retrieval-augmented generation, evaluation methods, and modern AI tooling strongly preferred., • Working understanding of legal workflows across transactional, litigation, regulatory, and investigations matters sufficient to converse credibly with practice group leadership and translate legal requirements into technical solutions., • Demonstrated initiative and bias for action, with the willingness to own outcomes through to delivery and the judgment to know when to ship, when to iterate, and when to escalate., • Genuine intellectual curiosity, with a habit of staying ahead of developments in AI and a track record of bringing fresh ideas and approaches forward to leadership., • Solution- and objective-oriented mindset, with the discipline to anchor every project to a clear business or client-service outcome and the persistence to drive it through to delivery., • Strong listener: genuinely curious about how attorneys work and what clients need, with the ability to surface root problems before proposing solutions and the patience to push past the first ask to understand the underlying objective., • Comfortable as a teacher: able to demonstrate, train, and bring along attorneys and business professionals at all levels of technical fluency, with patience for the realities of change management in a partnership., • Demonstrated ability to build trusted relationships across practices and functions – with attorneys, business professionals, technology partners, and operations teams – and to operate as a credible cross-practice and cross-functional connector., • Ability to navigate and influence at all levels of the organization, with the confidence to advocate for AI-enabled approaches and the credibility to earn partner trust., • Strong organizational skills with the ability to manage multiple concurrent priorities, drive projects through to completion, and lead effectively and with professionalism in a fast-paced environment., • Strong written and verbal communication skills; able to communicate complex AI concepts in terms that resonate with legal and business audiences and to demonstrate a grasp of the strategic intent of a subject matter., • Bachelor's degree required; advanced degree in a relevant technical, legal, or business discipline preferred. Position requires access to equipment, software, or technology that is subject to U.S. export controls. To be granted access pursuant to US Export Control laws, candidate must be either (a) a United States citizen or national; (b) a person lawfully admitted for permanent residence of the United States (i.e., “Green Card” holder); or (c) an INS-approved refugee or asylum holder who has applied for naturalization within six months of the date the individual first became eligible; and if not yet naturalized, is still actively pursuing naturalization if 2 years have passed since the date of application to be granted access pursuant to US Export Control laws. Candidates will be required to submit appropriate documentation to determine whether access can be granted before proceeding further through the application process. Status: Exempt Reports To: Senior Director of AI Workplace Type: Hybrid Salary range of $309,000- $438,000 dependent on experience. Covington & Burling LLP is an equal opportunity employer and does not discriminate in any aspect of employment, including hiring, salary, promotion, discipline, termination, and benefits, on the basis of race, color, ethnicity, religion, national origin, gender, gender identity or expression, age, marital status, sexual orientation, family responsibility, disability (including physical handicap), or any other improper criterion.

Head of AI Product We have a search for a Head of AI for our large alternative investment firm. They have begun with a small team who has built proprietary LLM’s and Bot’s are already used by 80% of the firm. The success has created an appetite for more. The spirit around this function is to scaling AI technologies across all business groups mainly to create alpha and secondarily, to drive efficiency. As Head of AI, you will lead the enterprise-wide strategy, across every aspect of the business, from Portfolio Management to Investor Relations. Your mandate is to scale AI solutions across business groups, putting people in place to understand the business needs and then execute them with the latest tools. This includes building scalable AI infrastructure, fostering cross-functional collaboration. You will report to the CTO and oversee and build a team of AI specialists, data scientists, and engineers. Key Responsibilities • Develop and execute a comprehensive AI strategy aligned with the organization’s business objectives, prioritizing high-impact use cases for scaling across all business units., • Lead the scaling of AI technologies enterprise-wide, including designing MLOps pipelines, real-time inference systems, and integration with existing workflows., • Collaborate with C-suite, business group leaders, and portfolio managers to identify AI opportunities, break down silos, and drive adoption., • Oversee AI infrastructure and operations, including vendor partnerships, budget management, and performance metrics to achieve efficiency gains like reducing operational costs or improving decision accuracy., • Champion innovation by piloting and scaling advanced AI technologies (e.g., generative AI, agentic systems)., • Represent the organization as an AI thought leader, building external partnerships and navigating industry-specific challenges in finance or multi-unit operations. Qualifications and Skills • Software Engineering leadership experience with an new focus on in AI/ML, with a proven track record of scaling AI initiatives.(, • Deep technical expertise in AI technologies, including machine learning, LLMs, MLOps., • Advanced degree (MS/PhD preferred) in Computer Science, AI, or a related field; executive presence for C-suite and board interactions., • Excellent communication and change management skills to foster an AI-literate culture across business groups.

• Location: New York, NY (Hybrid), • Leading $10B Hedge Fund | Quantitative Research Group Summary A premier $10B+ hedge fund is seeking a Structured Credit Quant Modeler to join its Quantitative Research team. This front-office role partners directly with Portfolio Managers to develop quantitative models, portfolio analytics, and scalable technology supporting investment decisions across CLO and ABS portfolios. Key Responsibilities • Develop and enhance loan-level cash flow, credit, valuation, and prepayment models for CLO and ABS investments., • Build quantitative tools supporting portfolio analytics, pricing, risk management, and investment research., • Automate analysis of BWICs, dealer offerings, and new issue opportunities., • Design dashboards and monitoring tools to evaluate model performance and portfolio risk., • Develop scalable production infrastructure using Python and cloud technologies., • Collaborate closely with Portfolio Managers, Traders, and Quantitative Researchers to support investment strategies. Qualifications • 4+ years of quantitative modeling experience within a structured credit hedge fund, asset manager, or investment bank., • Deep experience with CLO and ABS modeling. Experience with RMBS or CMBS is beneficial but not required., • Strong programming skills in Python and C++., • Experience building loan-level cash flow, credit, valuation, or prepayment models from data ingestion through production deployment., • Experience applying statistical modeling and machine learning techniques., • Familiarity with cloud platforms (AWS, Azure, or GCP)., • Experience with structured credit analytics platforms such as Kanerai, Valitana, Intex, or similar institutional tools is highly desirable., • Bachelor's degree in a quantitative discipline; Master's degree preferred. Why Join? This is a rare opportunity to join one of the industry's leading structured credit investment platforms. You'll work directly with senior investment professionals, developing quantitative models and analytics that have a measurable impact on portfolio construction, risk management, and investment performance. Keywords: ABS, CLOs, Prepayment Modeler, RMBS, Python, C++, Software Developer, Valuation Models, CMBS,Cloud Expertise Please send resumes to Jim Geiger jeg@analyticrecruiting.com

Job Title: Training & Instructional Design Specialist Location: New York City (Bronx/Manhattan area) Perm (FTE) role US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time Must haves • Need to have own vehicle and clean driver’s license., • Should be bilingual with Spanish and English., • 100% Field, • Required – Own Transportation (expense mileage, tolls & parking), Bilingual in Spanish, NYC Area – Manhattan/ Bronx, • Facilitate in-person and virtual training sessions on various topics, including SAP and other company-specific programs, in both English and Spanish language. Preferred Skills: • Experience with virtual training platforms (e.g., Zoom, Microsoft Teams, WebEx)., • Familiarity with instructional design principles, • Proficient in MSOffice Suite Job Description: Summary: • The Training and Instructional Design Specialist is responsible for delivering engaging and effective training programs to employees and store members, ensuring they gain the necessary knowledge and skills to succeed in their roles., • The Specialist will conduct both in-person and virtual training sessions, utilizing various learning methods, tools, and resources to create an interactive and positive learning experience., • The role requires excellent communication skills, a passion for helping others grow, and the ability to adapt to training content to meet the diverse needs of training recipients. Job Description: Training Delivery: • Facilitate in-person and virtual training sessions on various topics, including SAP and other company-specific programs, in both English and Spanish language., • Use a variety of instructional techniques, such as group discussions, hands-on activities, role-playing, case studies, and multimedia, to engage learners and promote active participation., • Adjust delivery styles and content to accommodate different learning styles and audience needs. Training Preparation: • Review and familiarize yourself with training materials before each session to ensure content is clear, accurate, and aligned with the learning objectives., • Set up training spaces (virtual or physical) with necessary materials, technology, and equipment prior to sessions., • Prepare any assessments, quizzes, or activities needed to reinforce key learning points and evaluate participant understanding. Participant Engagement: • Create a positive, inclusive, and respectful learning environment that encourages participation, open dialogue, and knowledge sharing., • Monitor participant engagement and adjust the pace or delivery of content as necessary to maintain attention and support understanding., • Provide one-on-one assistance to learners as needed during or after training sessions to clarify concepts or address individual questions. Feedback and Evaluation: • Collect feedback from participants at the end of each training session to gauge the effectiveness of the training and identify areas for improvement., • Evaluate participant performance through assessments, surveys, and follow-up conversations to ensure learning objectives are met., • Report training feedback and outcomes to the Training and Instructional Design Manager including recommendations for improving future sessions. Learning Resource Management: • Assist in the development and maintenance of training materials, guides, and resources that can be used for ongoing learning or as reference materials., • Ensure that all training materials are updated and remain relevant, accessible, and aligned with the latest industry trends or organizational needs. Collaboration with Training Team: • Collaborate with the Training Manager and other team members to continuously improve training programs and ensure they align with the organization's learning and development goals., • Participate in team meetings, share best practices, and contribute ideas for improving training processes and participant outcomes. Continuous Improvement: • Stay updated on best practices in training facilitation, learning methodologies, and new technologies or tools that can improve training delivery. Qualifications: Education: • Bachelor’s degree in Education, Business, or a related field (preferred). Experience: • Experience delivering both in-person and virtual training to diverse groups of employees., • Candidate must be proficient in English and Spanish Language, • Excellent Communication Skills: Strong verbal and written communication skills with the ability to explain complex concepts in simple terms., • Facilitation Skills: Skilled in leading group discussions, managing group dynamics, and maintaining participant engagement., • Adaptability: Ability to modify training delivery based on participant needs, group size, and learning objectives., • Technical Proficiency: Comfortable using a variety of learning tools and technologies (e.g., LMS, webinar platforms, PowerPoint, Zoom, etc.)., • Problem-Solving: Ability to quickly identify issues during training sessions and find effective solutions to keep participants on track., • Time Management: Capable of managing multiple training sessions and adjusting to changes in schedules or content requirements., • Empathy & Patience: Ability to understand and support learners with different backgrounds, learning styles, and challenges. Preferred Skills: • Experience with virtual training platforms (e.g., Zoom, Microsoft Teams, WebEx)., • Familiarity with instructional design principles, • Proficient in MSOffice Suite A reasonable, good faith estimate of the minimum and maximum base salary for this position is $65 K to $70 K per year with Bonus. Employee benefits will also be available, and details are available like Pension/401K/ Paid Vacation/ Life, Medical & Dental insurance etc. • The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Associate Dean for Academic Advising and Career Planning New York Law School (NYLS), located in the heart of Tribeca, seeks a highly motivated Associate Dean for Academic Advising and Career Planning to serve on the Law School’s senior leadership team. The Associate Dean will lead a coordinated group of student advisors and support staff who provide expert counselling and guidance to students across a broad range of areas, starting from the time a student is admitted through graduation and beyond, including bar exam and post-graduation career support. The Associate Dean is responsible for providing overall leadership and oversight for matters related to the Office of Academic Planning and Career Development, including innovation, technology, fiscal management, and team development. Principal Duties and Responsibilities: Academic Advising and Planning • Lead a team of advisors in providing students with expert advice concerning curriculum offerings starting from day one through graduation, including required core courses and the selection and sequencing of required and elective courses, in support of their interests and career objectives, and in a way that ensures academic success., • Exercise compassionate and strategic leadership to ensure that the team of advisors is equipped with the most up-to-date institutional and industry knowledge and awareness to provide guidance and direction on all student engagements and activities, including, but not limited to: · Center affiliation, internship, and externship opportunities, and placements based on academic performance · Participation in social and co-curricular student organizations • Work with the Offices of Student Life, Academic Affairs, and others to provide proper internal support and referrals for external assistance for students exhibiting the presence of impediment(s) to success because of social, medical, and emotional challenges., • Coordinate with the Office of Academic Affairs, the Office of Academic and Bar Support, the Registrar’s Office, and the Office of Student Life concerning the development, implementation, and enforcement of various policies and procedures, including the Student Handbook and Faculty Rules. Career Advising and Planning • Lead a team of advisors in providing meaningful knowledge and counsel to students on a variety of career options across employer types, practice areas, and industries, including JD Advantage jobs and jobs that require bar passage., • Work with the Associate Directors and Senior Fellows of NYLS’s academic centers and institutes to further enhance student career advising and planning., • Develop and oversee the maintenance of systems to monitor the student internship and post-graduate job search process, including initial engagement, placements, and outcomes. In addition, work with vendors to ensure staff training on related technologies used for student data collection., • Develop resources for students related to their preparation of job application materials, including résumés, cover letters, and writing samples, as well as preparation for job interviews. Work with a team of advisors to develop and maintain an effective system to monitor individual student progress., • Oversee a professional development program including the instruction provided in the 1L course ‘Foundations for the Pursuit of Professionalism’., • Engage in strategic planning regarding student communications/facilitating student access to relevant resources and other materials. Employer Relations • Build and expand employer relationships, including with alumni, to develop placement and related professional development opportunities., • Supervise an employer relations team to develop a coordinated recruitment program and provide a range of employment opportunities for students and graduates to meet placement targets., • Collect and evaluate feedback regarding the needs of current and prospective employers and monitor market trends for the purpose of guiding students toward the most appropriate curriculum, activities, and job search strategies., • Develop long-term strategies to address developments and market shifts to continue building an employer base with meaningful opportunities desired by students., • Work with alumni members of the judiciary and advisors to enhance New York Law School’s presence in clerkships. Administrative Oversight • Oversee day-to-day administrative functions of the Office, including budget and relevant policies and procedures for department operations., • Lead and manage a staff of 10 to achieve and deliver effective and responsive programs., • Prepare and analyze survey instruments, prepare statistical reports, and develop methods of assessment for programs and services., • Oversee data collection and reporting of employment data internally and externally., • Provide oversight of and leadership for the Law School’s summer funding program in collaboration with other relevant departments., • Develop staff training and professional development programs to maximize the impact counselors have on students., • Coordinate with other departments and the academic centers, institutes, and programs to enhance career opportunities for students., • Represent the Law School in local and national legal employment organizations. Requirements: • J.D. degree preferred., • Exemplary interpersonal and communication skills working with students, faculty, trustees, staff, alumni, and the Law School community., • Demonstrated leadership and experience in operational and strategic planning, developing initiatives, budgetary management, professional development, and career planning., • 10 or more years of experience in a leadership role at a law school, especially with some connection to career planning/academic services., • Experience in developing various employment programs and presentations, and in building community relationships to further enhance career opportunities for students and alumni., • Demonstrated ability to work independently and collaboratively, solve problems, and exercise good judgment and discretion. Compensation: This position offers an annual salary range of $190,000 to $210,000. Compensation includes a competitive benefits package. To Apply: Please send a résumé and cover letter, including salary requirements, to Kitty Montanez, Associate Director of Human Resources, at jobs@nyls.edu. About New York Law School Founded in 1891, New York Law School (NYLS) is an independent law school located in Tribeca, the heart of New York City’s legal, government, financial, and emerging tech centers. Known as “New York’s law school,” NYLS embraces the city as its classroom by complementing a rigorous legal education with an innovative and diverse set of “uniquely New York” experiential learning opportunities. Since opening its doors, NYLS has produced graduates who have gone on to hold high elected and appointed offices in the city, lead large and small firms, and gain broad recognition as captains of business and industry. Its renowned faculty of prolific scholars has built the School’s strength in key areas of the law, including business and financial services, intellectual property and privacy, and government and public interest law. NYLS has more than 20,000 graduates and currently enrolls around 1,100 students in its full-time and part-time J.D. programs. The School also offers an advanced-degree program in Tax Law. New York Law School is an Equal Opportunity Employer All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national or ethnic origin, age, disability, veteran status, or any other characteristic protected by law.

The Director, Comparative Rater Strategy & Analytics is responsible for leading comparative rater strategy and related competitive intelligence gathering, and analytics for Plymouth Rock’s Partners distribution channel. This role leads comparative rater strategy, market intelligence, and business analytics into strategic assets that drive profitable growth, improve competitive positioning, and support data-driven decision making across Plymouth Rock's distribution organization. The Director serves as the primary business leader responsible for understanding how Plymouth Rock competes, performs, and grows across agency, partnership, and comparative rater distribution channels. The position will partner closely with Product Management, Distribution, Marketing, IT, Operations, Underwriting, and Financial Planning to identify opportunities that improve growth, retention, profitability, agency productivity, and customer acquisition effectiveness. This is a working management position requiring both strong leadership capabilities and the ability to personally conduct analyses, develop recommendations, and influence business decisions. RESPONSIBILITIES Comparative Rater Strategy & Optimization • Develop and execute Plymouth Rock's comparative rater strategy, including platform optimization, vendor management, implementation governance, and long-term roadmap planning., • Serve as the primary relationship owner with comparative rater vendors, driving improvements in quote performance, agent experience, carrier visibility, and operational efficiency., • Partner with Product, Underwriting, and IT teams to ensure product, rate, underwriting, and filing changes are accurately implemented across comparative rating platforms., • Lead optimization of comparative rater workflows, including eligibility rules, company-specific questions, defaults, quote return performance, carrier visibility logic, and quality assurance processes., • Monitor comparative rater performance and develop recommendations to improve agency adoption, quoting efficiency, and policy conversion. Competitive Intelligence & Market Strategy • Lead Plymouth Rock's competitive intelligence efforts within the Partners distribution channel by monitoring pricing position, product competitiveness, quoting performance, market trends, and competitor activity. Collaborate with stakeholders in Product Management and IT to drive improvements in these results., • Develop competitive intelligence frameworks, dashboards, and executive reporting that benchmark Plymouth Rock's performance and identify opportunities to improve market share, profitability, and growth., • Analyze competitive positioning by state, product, agency segment, and distribution channel and translate findings into actionable recommendations., • Monitor comparative rating technology, insurtech innovation, and emerging market trends while supporting Product and Distribution leadership in evaluating opportunities and threats. Distribution Analytics & Business Performance • Deliver performance measurement, business intelligence, and decision support across partnership, agency, and comparative rater distribution channels., • Develop executive dashboards, KPI frameworks, and management reporting that measure growth, retention, profitability, agency productivity, customer acquisition effectiveness, and overall distribution performance., • Partner with Finance to optimize agency economics, compensation effectiveness, producer productivity, customer lifetime value, and channel profitability to support investment decisions and resource allocation., • Partner with Distribution, Product, and Marketing leadership to identify, prioritize, and execute initiatives that increase quote volume, policy growth, partner productivity, and distribution profitability., • Support business development efforts through partner evaluations, business case development, growth opportunity analysis, and strategic planning., • Ensure reporting accuracy, analytical consistency, data governance, and effective use of data across the organization. Leadership & Stakeholder Management • Lead and develop a high-performing team responsible for comparative rater optimization, competitive intelligence, reporting, analytics, and business performance insights., • Establish priorities, allocate resources, and manage team workloads to support strategic business objectives., • Build strong partnerships across Product, Distribution, Marketing, Finance, IT, Operations, Underwriting, and Financial Planning teams., • Present findings, recommendations, and strategic initiatives to executive leadership and translate complex analytical findings into actionable business decisions. QUALIFICATIONS • Bachelor's degree in Mathematics, Statistics, Economics, Actuarial Science, Business Analytics, Computer Science, Finance, or a related field required; advanced degree preferred., • 10+ years of progressive experience in insurance analytics, competitive intelligence, distribution strategy, product management, pricing, business intelligence, or related disciplines., • Minimum 5 years of leadership experience managing analytical, strategic, or business performance teams., • Strong knowledge of personal lines insurance, agency distribution models, customer acquisition strategies, and channel economics., • Experience with comparative rating platforms such as Vertafore, EZLynx, PL Rating, EPIC, Bolt, or similar technologies preferred., • Advanced SQL proficiency and experience working with large-scale data environments., • Strong analytical and reporting skills utilizing Excel, Tableau, Power BI, SAS, Python, R, or similar tools., • Demonstrated ability to influence product, pricing, underwriting, marketing, and distribution strategies through analytical insights and business recommendations., • Exceptional communication, problem-solving, and strategic planning skills. Key Success Metrics • Comparative rater quote volume growth, • Quote-to-bind conversion performance, • Share of #1 and Top 3 quote positions, • Competitive positioning versus key market competitors, • Independent and captive agency premium growth, • Agency productivity and retention performance, • Customer acquisition and conversion effectiveness, • Distribution profitability and channel economics, • Reporting accuracy and timeliness, • Comparative rater implementation quality, • Adoption and utilization of analytical insights, • Executive stakeholder satisfaction SALARY RANGE The pay range for this position is $186,500 to $247,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off, 8 paid national holidays per year, and 2 floating holidays, • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision), • Annual 401(k) Employer Contribution, • Free onsite gym and health center at our Woodbridge Location, • Resources to promote Professional Development (LinkedIn Learning and licensure assistance), • Robust health and wellness program and fitness reimbursements, • Various Paid Family leave options including Paid Parental Leave, • Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”. #LI-DNI

Company Background FirstKey Mortgage, LLC ("FKM") is one of the world’s leading private label securitization and asset management firms.We are a boutique financial services company with a primary focus on the buying and securitizing of residential mortgage loans and other consumer receivables. Since inception FKM has excelled in acquiring, securitizing and managing real estate and other related assets in the U.S. and Europe. Established in 2013, FKM is a portfolio company of Cerberus Capital Management and has participated on over $80+ billion rated securitization transactions across 85 bespoke ABS/MBS deals globally. FKM employs approximately 50 mortgage banking professionals and is headquartered at 900 Third Avenue in midtown Manhattan. Our officers and directors have an average of 20+ years of industry experience. FKM strives for business excellence and superior execution with the following critical functions: • Managing the asset bidding and asset acquisition processes, • Efficient asset document review using machine learning and optical character recognition, • Vetting of assets for any issues with lending laws, taxes, or underlying collateral value, • Payment collection, surveillance, and loss mitigation once the asset is purchased, • Securitization of loans into bonds and marketing these assets to institutional investors The VP, Systems Administrator is responsible for the oversight, configuration, security, governance, and operation of FKM's hybrid technology environment spanning Microsoft Azure, Microsoft 365, AWS, on-premises infrastructure, cybersecurity technologies, and enterprise Artificial Intelligence platforms. This role serves as the primary technical lead for infrastructure modernization, cloud administration, cybersecurity operations, AI platform management, governance, automation, and technology innovation initiatives. The position works closely with executive leadership, business stakeholders, security teams, auditors, vendors, and managed service providers to ensure the organization's technology platforms operate securely, efficiently, and in compliance with regulatory requirements. Job Description and Responsibilities Microsoft Azure & Microsoft 365 Administer, secure, and optimize Microsoft Azure and Microsoft 365 environments, including Intune, Entra ID, Defender, Purview, Exchange Online, and SharePoint/OneDrive, while managing SSO, MFA, Conditional Access, DLP, Communication Compliance, Secure Score, Compliance Score, logging, alerting, role-based access controls, mobile device management, monitoring, and overall security governance. Artificial Intelligence Platforms Lead the strategy, governance, implementation, administration, security, and operational support of enterprise AI platforms (including Microsoft Copilot, Claude, AWS Bedrock, Azure AI Services, and future approved solutions), while driving AI risk management, data governance, automation initiatives, technology evaluation, business adoption, operational efficiencies, and AI roadmap development aligned with organizational objectives. AWS Administration & AI Services Manage and secure AWS cloud environments in partnership with managed service providers, overseeing IAM, GuardDuty, Security Hub, S3, backup and disaster recovery, networking, VPN connectivity, and AWS Bedrock services (including model access controls, guardrails, and inference profiles), while supporting the integration of AI solutions with enterprise infrastructure and business applications. Security & Compliance Lead cybersecurity and AI governance initiatives by strengthening security posture, overseeing vulnerability assessments, penetration testing, tabletop exercises, remediation efforts, compliance with regulatory and organizational standards, AI risk management, and continuous monitoring of cloud and AI audit logs to identify and mitigate threats including data leakage, prompt injection, unauthorized access, excessive permissions, third-party AI risks, and model security vulnerabilities. On-Premises Infrastructure Administration Oversee and support enterprise infrastructure operations, including servers, storage, networking, security appliances, Active Directory, Group Policy, DNS, Remote Desktop Services, Fortinet firewalls, Cisco switching, monitoring platforms, security reviews, and advanced technical escalation support for internal users and technology vendors. Qualifications • 5-10 years of IT experience in computer systems with demonstrated working knowledge of hardware, operating systems, networking, and problem solving/troubleshooting skills., • 3+ years administering AWS environments., • 4+ years administering Microsoft Azure and Microsoft 365 environments., • 1+ years implementing or supporting enterprise AI platforms., • Experience with Microsoft Copilot, Claude Desktop, Claude Code, AWS Bedrock, Azure AI Services, or similar enterprise AI technologies., • B.S. in technology-related field or equivalent experience., • Possesses ability to read & comprehend written technical information in order to implement it., • Adheres to policies consistent with data and identity protection standards., • Ability to multitask and prioritize across several open items., • Excellent problem-solving skills and attention to detail., • Detail-oriented with strong written and verbal communication skills., • A positive attitude, determination, and self-motivation. Preferred Certifications • Microsoft Certified: Azure Administrator Associate, • Microsoft Certified: Copilot and Agent Administration Fundamentals, • AWS Certified Cloud Practitioner, • AWS Certified AI Practitioner, • CISSP/CCSP The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by FKM in its sole discretion. Compensation The base salary for this position is expected to be between $125,000 and $175,000 annually. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by FKM in its sole discretion. In addition to the base salary, this position is eligible for a comprehensive benefits package.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Gen AI Architect Experience Level: 7+ years Employment type: Full Time Location: Newark, NJ Job Summary: We are seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute complex tasks with minimal human intervention. You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms. Roles & Responsibilities: Agentic System Architecture & Development: • Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch. You will create the foundational agent harnesses, define communication protocols, and build orchestration layers using frameworks like CrewAI, Langgraph, and AutoGen. Architectural decisions to ensure:, • Hierarchical and collaborative multi-agent structures with well-defined agent roles, responsibilities, and communication protocols, • Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction loops, • Develop state management systems and memory mechanisms for persistent agent interactions, • Engineer Advanced Agent Capabilities: Develop custom agent-tools and define specialized agent-skills that empower agents to perform complex, domain-specific tasks., • Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and make informed decisions in dynamic environments., • Deploy Production-Grade Solutions: Own the deployment, scaling, and maintenance of robust, low-latency agentic systems on major cloud platforms (GCP, AWS, or Azure). You will implement best-in-class MLOps practices for monitoring, continuous integration/continuous deployment (CI/CD), and system reliability., • Integrate and Optimize LLMs: Integrate LLMs to serve as the core reasoning engines for autonomous agents. You will apply advanced techniques like RAG and PEFT to optimize performance. Tool Development & RAG Integration: • Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and external service connections, • Design and implement RAG systems using vector databases (Pinecone, Weaviate, ChromaDB), • Develop custom tools and plugins that enable agents to interact with various enterprise systems and APIs, • Ensure tool reliability, error handling, and seamless integration within agentic workflows Observability, Monitoring & Evaluation: • Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis, • Design novel evaluation frameworks to assess multi-step agentic task success, reliability, and accuracy, • Utilize advanced observability tools (LangSmith, Arize AI, or custom solutions) to trace agent decision making processes, • Establish metrics and KPIs for measuring agentic system performance in production environments Basic Qualifications: • 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production, • Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI, • Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture, • Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems, • Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions), • Proven ability to architect and implement complex AI systems from scratch in production environments, • Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including:, • Compute services (EC2, GCE, Azure VMs), • Serverless functions (Lambda, Cloud Functions, Azure Functions), • Container orchestration (EKS, GKE, AKS), • Managed AI/ML services (SageMaker, Vertex AI, Azure ML), • Production & DevOps: Strong skills in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and containerization (Docker, Kubernetes) Other Qualifications: • Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization, • Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination, • Familiarity with SDLC best practices, version control (Git), and agile development methodologies, • Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers)., • Hands-on evals for agents: trajectory / tool-use checks, golden traces, LLM-as-judge with fixed rubrics, regression suites., • Online evals, drift thinking, and clear quality gates before or after deploy (thresholds, alerts, rollback criteria)., • Safety and abuse: prompt injection via tools, untrusted retrieval, PII handling in prompts and logs, allowlists and guardrails., • Cost and latency discipline: budgets per run, timeouts, caps on turns and tool calls., • Model lifecycle: routing / gateway patterns, version pinning, fallbacks, and which model for which step., • Memory and state: what is persisted, retention, redaction, and what must never be stored What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

The Client’s Information Technology team seeks an Associate Director, Responsible AI Solutions. Reporting to the Chief Information and Technology Officer (CITO), the Associate Director leads the development and implementation of ethical, cutting-edge AI solutions that align with our mission. The Associate Director works closely with the CITO and senior leaders across the foundation in refining and implementing the foundation’s evolving AI strategy. Partnering with staff at all levels and external vendors and consultants, the Associate Director will use their experience, deep systems knowledge and understanding of best practices around governance and policy development to design and scale AI solutions that foster a culture of responsible innovation balancing ethical principles with real world solutions to create significant impact. HOW YOU WILL CONTRIBUTE As the Associate Director, Responsible AI Solutions, you will perform the following and/or similar activities: • AI Portfolio Management: As the focal point for all AI initiatives within the IT team, manage a dedicated AI portfolio and consult with the cross-functional IT teams on their AI projects, fostering a cohesive approach to AI development and implementation., • Develop and implement ethical AI solutions: Identify and translate complex business challenges into AI solutions. This involves assessing organizational needs, recommending ethical solutions, gathering requirements, designing and developing AI solutions, and deploying them into production environments within required budget and quality standards expectations. This includes defining project scope, gaining insight and agreement from others, allocating resources, managing timelines, and mitigating risks., • AI Strategy: Collaborate with the CITO and senior leaders from cross-functional teams on refining the foundation’s AI strategy to ensure that the foundation’s AI systems, guidelines, processes, and procedures are aligned to the foundation’s mission and values and are being scaled throughout the entire foundation., • Governance & policy development: Monitor evolving AI regulations and data privacy laws. As a key member of the AI Advisory Group, draft, implement, and maintain clear, accessible Responsible AI guidelines, safety policies, and use-case criteria for the whole foundation to follow. Ensures all AI- related activities, all relevant stakeholders are aware of and adhering to ethical guidelines and protecting organizational data. Promote responsible AI development and deployment within the organization across departments, while considering potential biases, fairness, and transparency in AI systems., • AI Model evaluation and optimization: Continuously monitor and evaluate the effectiveness and performance of AI models, identifying areas for improvement and implementing optimization strategies to reduce our carbon footprint and enhance accuracy, efficiency, and scalability., • Vendor & technology assessment: Remain up to date with emerging AI trends, technologies, and best practices. Research and recommend new AI tools and techniques to improve operational efficiency and drive innovation. Evaluate, propose and manage AI vendors and consultants to deliver strategic value within an approved budget., • Education, culture & capacity building: Partner with People & Culture and other departments to build organization-wide AI literacy and upskilling, responsible prompt engineering, and ethical awareness. Cultivate a culture of responsible innovation across different teams, empowering non-technical staff to identify potential ethical risks early., • Communicate effectively with stakeholders: Clearly and effectively communicate project solutions, requirements and updates, technical details, and AI concepts to technical and non-technical audiences, including senior management, business stakeholders, and team members. Translate complex technical information into clear business value for non-technical stakeholders. WHAT YOU WILL NEED • 8+ years of related professional experience and a bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field (or an equivalent combination of education and experience)., • Proficient in Python and AI frameworks (e.g., TensorFlow, PyTorch), with expertise in machine learning, deep learning, NLP, foundational models, and GenAI technologies., • Experienced in Generative AI techniques (e.g., LLMs, LangChain, RAG), Agentic architecture, and establishing connections using Model Context Protocol (MCP)., • Experience with Google Cloud Platform (GCP), Vertex AI, and production deployment using Gemini Enterprise or equivalent platforms (working knowledge of Google’s ADK is a plus)., • Familiar with major cloud platforms (AWS, Azure, GCP), data technologies (SQL, Hadoop, Spark), and AI Ops principles (CI/CD pipelines, containerization, automated testing)., • Experienced in deploying AI models to cloud environments—optimizing for performance, latency, cost, and resource utilization (GPU/TPU)—and troubleshooting issues like performance drift., • Strong capability in working with large datasets, extracting meaningful insights from unstructured data, and understanding content management systems, knowledge graphs, and information retrieval techniques., • Demonstrated ability to recommend and apply practical AI solutions to real-world problems within content-rich domains., • Deep conceptual understanding of how models process data, exhibit bias, and handle data privacy., • Excellent project management skills with experience managing complex AI projects using Agile development methodologies., • Experience managing AI vendors and the technical capability to evaluate vendor claims regarding model safety, data retention, and training data provenance., • Strong communication, interpersonal, and relationship-management skills, with the ability to translate complex technical concepts for executive and non-technical audiences., • Ways of working and engaging that align with the Foundation’s mission, core values, and commitment to creating a culture of excellence.

Part of the Interparfums group founded in 1982, Interparfums USA develops, manufactures and distributes prestige fragrances as the exclusive worldwide licensee for Abercrombie & Fitch, Anna Sui, DKNY, Donna Karan, Dunhill, Graff, GUESS, Hollister, MCM, Oscar de la Renta, Roberto Cavalli, Salvatore Ferragamo and Ungaro. Through its global distribution network, the Company’s products are sold in over 120 countries. The Senior Manager, Packaging Development & Sourcing will manage, develop and launch new product and packaging solutions into the market, in addition to cost-saving initiatives and continuous improvement opportunities. This role may manage direct reports at the Jr Manager or Manager level. To succeed in this role, you will have a technical background in packaging engineering, understand various fragrance packaging materials and configurations, and are able to execute multiple projects at once. Prior people management experience is required. This position is based in office from Mondays-Thursdays, and remote on Fridays. Key Responsibilities • Manage packaging solutions for up to two brands, providing comprehensive feasibility and influencing of each concept in terms of manufacturability, cost of goods, investments, and preliminary lead times, • Work with outside vendor and subcontracting partners to define specifications, design criteria, quality parameters, and expectations from component production through filing and assembly, • Responsible for recommendation of sourcing and supply chain strategy within a global portfolio of vendors, • Ensure all programs meet the needs of the Brand while maintaining design, quality, cost, functionality, manufacturability objectives, and on time delivery, • Evaluate risks and develop clear mitigation plans to the Operations team, • Drive innovation by presenting new packaging concepts, technologies, and market trends both within and outside o the industry to continuously support innovation, • Support on-going business to ensure stock coverage, • Coach and develop direct reports., • erform other duties and responsibilities as assigned or needed. Education/Experience • Bachelor’s degree in Packaging Engineering or related field, • 7+ years of packaging development or engineering experience within Fragrance/Cosmetics/CPG industries, • Prior people management experience. Required Skills • Relevant understanding of packaging manufacturing, contract manufacturing production processes, • Technical competency and materials knowledge including but not limited to: injection molding, glass forming and decoration, dispensing systems, folding carton/rigid box design, • Excellent communication skills, including written, verbal, and presentation; comfortable and credible with both internal and external partners, • Self-starter who will thrive in fast-paced, dynamic environment, • Possess a strong sense of urgency and ability to multi-task and pivot Travel Requirements This position may require travel based on business needs. Travel may include visits to company locations, clients, vendors, industry events, or other business-related activities. The frequency and duration of travel will vary depending on business demands and may include occasional overnight stays. Employees must be able and willing to travel as required to successfully perform the essential functions of the role. We Offer • The salary range for this position is $160,000 – $185,000 annually, commensurable with skills, experience, and qualifications, • Bonus opportunity based on personal and business performance, • Robust healthcare, insurance, and benefit options, • Paid time off policies including vacation, personal, holiday, and sick days, • 401K plus company match, • Options to support development, including complimentary access to LinkedIn Learning, • An entrepreneurial career with a dynamic environment where all voices are heard and appreciated, • Low hierarchy with high visibility to C-Suite on a regular basis, • A growing company with a proven track record of solid financial stability Interparfums USA, LLC is an Equal Opportunity Employer and is committed to providing fair and equitable employment opportunities in compliance with all applicable federal, state, and local laws.

Senior AI/ML Engineer Location: New York, NY Compensation: $180,000 – $250,000 base + bonus + comprehensive benefits (including pension, 401(k), and more) Industry: Global P&C Insurance About the role and client James Search Group is excited to partner with a leading global property and casualty insurance carrier to identify a Senior AI/ML Engineer to join a high-impact enterprise data and artificial intelligence team. This group is at the forefront of transforming how the insurance industry leverages data, analytics, and emerging AI technologies to enhance decision-making and drive profitability across the organization. As a key contributor, you will design and implement scalable machine learning and AI-driven solutions to solve complex business challenges. This role is ideal for a hands-on, innovative professional passionate about delivering real-world business impact through advanced data modeling and machine learning strategies. Key Responsibilities: • Develop and deploy end-to-end AI/ML models—including classification, forecasting, uplift modeling, and fine-tuning of foundational models., • Identify use cases for AI across areas such as underwriting, claims, risk evaluation, and customer experience., • Work cross-functionally with technical and business stakeholders to deliver actionable insights and scalable solutions., • Translate sophisticated AI/ML outputs into clear business recommendations for non-technical stakeholders., • Stay current with the latest trends in AI/ML, incorporating new tools and methodologies to enhance the organization’s data capabilities. Required Qualifications: • Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or a related field., • Minimum of 5 years of hands-on experience in data science and machine learning, including techniques like regression, decision trees, neural networks, and ensemble models., • At least 2 years of experience working with large language models (LLMs) and foundational AI systems., • Strong programming skills in Python and SQL, with experience using popular data science libraries and frameworks., • Background in building and deploying ML models in cloud environments (e.g., Azure, AWS)., • Proficient in handling and integrating large structured and unstructured datasets., • Strong analytical skills with a demonstrated ability to extract actionable insights from complex data., • Excellent verbal and written communication skills; capable of simplifying complex technical concepts for business audiences. Preferred Qualifications: • Expertise in natural language processing (NLP) and natural language understanding (NLU)., • Experience leading multi-functional AI projects or initiatives., • Background in insurance, particularly within claims, underwriting, or risk analytics., • Familiarity with actuarial data, insurance KPIs, or related industry-specific datasets., • Collaborative mindset with the ability to drive change and build consensus. Apply now to take the next step in a high-impact, forward-thinking role within a dynamic and innovative insurance environment.

Applications accepted until October 31st 2026 Summary: We are seeking a Senior Engineer to design, build, and support solutions across global merchandising technology platforms. This role is responsible for delivering high-quality solutions, owning key application areas, and contributing to technical direction. This role works across a dual legacy and modern environment, supporting existing systems while contributing to modernization, optimization, and platform evolution. Technology Delivery & Execution: • Design, develop, and maintain applications and services supporting merchandising capabilities • Deliver enhancements, integrations, and defect resolution across platforms, • Contribute to development and integration of AI/ML-driven features within applications and services • Utilize AI-assisted development tools (e.g., Copilot) to improve coding efficiency and quality • Ensure solutions meet performance, scalability, and reliability requirements, • Participate in system monitoring, support, and incident resolution Core Platforms & Capabilities: • Own and support a set of applications or capabilities, which may include:, • Planning (allocation, assortment, MFP), • Pricing, promotion, and markdown, • Core merchandising and item/product systems, • Inventory, replenishment, and size/pack optimization, • Support and enhance legacy platforms while identifying opportunities for improvement and modernization Engineering Practices: • Follow engineering best practices for coding, testing, and deployment, • Demonstrate proficiency across multiple technologies and languages, adapting to different systems and platforms as needed • Contribute to code reviews and ensure adherence to standards, • Build and maintain integrations using APIs, messaging, and data pipelines, • Support CI/CD pipelines and automation efforts Execution & Collaboration: • Work with cross-functional teams to deliver projects, enhancements, and fixes, • Collaborate across onshore/offshore teams and time zones, • Participate in agile ceremonies including sprint planning and retrospectives, • Communicate technical solutions clearly to business and technical stakeholders Modernization & Improvement., • Contribute to efforts to refactor, migrate, or replace legacy systems, • Identify opportunities to improve system performance and maintainability, • Help drive simplification and consolidation of technology platforms Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field, • 5–8 years of experience in application development and support Preferred Qualifications: • Experience with enterprise platforms and distributed systems, • Strong experience with APIs, integration technologies, and databases, • Experience working across legacy and modern environments, • Familiarity with data-driven and AI-enabled solutions, with interest or experience in applying machine learning or intelligent automation in enterprise environments • Experience with cloud platforms, CI/CD, and DevOps tools, • Strong analytical and problem-solving skills, • Experience working in global, distributed teams Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO Statement: Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: • 21x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • Top analyst recognitions from Gartner, ISG, and Everest Group., • Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: or. Work Location: New York Experience Level: 7+ years Type: Full time Role: We are seeking an experienced and highly skilled SQL Server Database Administrator (DBA) to manage, maintain, and optimize our mission-critical SQL Server databases hosted on AWS EC2, supporting a high-availability, low-latency trading application. The ideal candidate will have deep expertise in SQL Server administration, AWS infrastructure, and a strong understanding of the performance and reliability demands of financial/trading systems. Key Responsibilities: Performance & Optimization • Monitor and tune SQL Server performance using tools like SQL Server Profiler, Extended Events, DMVs, and Query Store., • Identify and resolve query bottlenecks, index fragmentation, and blocking/deadlock issues., • Optimize indexes, execution plans, and stored procedures to meet sub-millisecond latency requirements of the trading platform., • Conduct regular performance benchmarking and capacity reviews. Database Administration • Install, configure, and maintain Microsoft SQL Server (2019/2022) instances on AWS EC2 environments., • Manage multiple SQL Server instances across Development, UAT, and Production environments., • Perform database capacity planning, storage management, and performance tuning., • Implement and maintain database security, including user roles, permissions, and auditing. High Availability & Disaster Recovery • Design, implement, and manage High Availability (HA) solutions including:, • Always On Availability Groups (AG), • SQL Server Failover Cluster Instances (FCI), • Log Shipping and Database Mirroring, • Develop and maintain Disaster Recovery (DR) plans and conduct regular DR drills., • Ensure RTO (Recovery Time Objective) and RPO (Recovery Point Objective) targets are consistently met. AWS EC2 & Cloud Management • Manage SQL Server deployments on AWS EC2 instances, including instance sizing,, • EBS volume management, and network configuration., • Leverage AWS services such as:, • Amazon CloudWatch for monitoring, • AWS Backup for automated backups, • AWS VPC, Security Groups, IAM for access control, • Amazon S3 for backup storage, • Optimize EC2 instance types (e.g., r5, x1e families) for memory-intensive SQL workloads., • Manage SQL Server licensing in AWS environments (BYOL / License Included). Backup & Recovery • Design and implement comprehensive backup strategies (Full, Differential, Transaction, • Log backups)., • Automate backup processes and store backups securely on Amazon S3., • Perform regular backup validation and restoration testing., • Ensure compliance with data retention policies. Security & Compliance • Implement SQL Server security best practices including encryption (TDE, Always Encrypted), auditing, and access controls., • Ensure compliance with financial industry regulations (e.g., SOX, PCI-DSS, GDPR as applicable)., • Conduct regular vulnerability assessments and apply security patches., • Manage SQL Server certificates and encryption keys. Monitoring & Incident Management • Set up proactive monitoring and alerting for SQL Server health, performance, and availability., • Respond to and resolve P1/P2 database incidents with urgency, given the critical nature of the trading platform., • Participate in on-call rotation for 24/7 support coverage., • Maintain detailed incident logs and post-mortem reports. Collaboration & Documentation • Work closely with application developers, DevOps, and trading system architects to, • support database design and schema changes., • Review and approve database change requests and deployment scripts., • Maintain comprehensive database documentation including architecture diagrams,, • runbooks, and SOPs., • Participate in CAB (Change Advisory Board) meetings for production changes. What is in it for you: • Be part of the fastest-growing AI-first digital transformation and engineering company in the world, • Be a part of an energetic team of highly dynamic and talented individuals, • Exposure to working with fortune 500 companies and innovative market disruptors, • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Senior Full stack .Net Developer and Azure Developer MUST BE GREEN CARD/CITIZEN. MUST BE LOCAL TO NEW JERSEY At TÜV SÜD Group we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are TÜV SÜD Group. Join TÜV SÜD America and help modernize business-critical applications through cloud transformation, software innovation, and AI-assisted development. You will work closely with business and technology teams to deliver secure, scalable, and impactful solutions. Your Tasks • Design, develop, test, and maintain applications using .NET, C#, ASP.NET, Web APIs, and SQL Server., • Translate business requirements into secure, scalable, and maintainable technical solutions., • Support migration and modernization of applications and services to Microsoft Azure., • Develop cloud-based solutions utilizing Azure services and best practices., • Contribute to Agile delivery activities including sprint planning, code reviews, testing, and continuous improvement., • Build and support CI/CD pipelines using Azure DevOps., • Use approved AI tools to improve development efficiency and innovation. Your Qualifications • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent experience., • 7+ years of professional experience developing applications with .NET technologies., • Strong expertise in C#, ASP.NET, .NET/.NET Core, REST APIs, and SQL Server., • Experience with Microsoft Azure and cloud migration or modernization projects., • Experience using Azure DevOps, Git, and CI/CD practices., • Strong communication, collaboration, and problem-solving skills., • Experience with modern web technologies and AI-assisted development tools is an asset. What We Offer • Opportunity to work on impactful global technology initiatives., • Exposure to cloud modernization and Azure transformation programs., • Collaborative and supportive team environment., • Professional development and continuous learning opportunities., • Hybrid work model., • Participation in innovation and AI-driven solutions., • Career growth within a global organization. Additional Information • The anticipated base salary pay range for this full-time position is $125,000-$145,000. Actual base pay will be determined based on various factors, including years of experience, training, qualifications and internal equity. Additionally, we offer a comprehensive benefits package to employees, including a 401k plan with employer match, up to 12 weeks of paid paternal leave for birth parents and 2 weeks for other parents, health plans (medical, dental and vision), life insurance and disability, and generous paid time off., • Full-time position within the IT Software Development team., • Hybrid workplace model with regular onsite presence in Woodbridge required., • We welcome applications from people of all backgrounds, experiences, and perspectives., • TÜV SÜD is an equal opportunity employer.

Technology Learning and Development Specialist Location: New York, NY Compensation: $110-135K Responsibilities: • Partner with the Technology Training Supervisor to continuously improve training programs, methodologies, and learning experiences., • Serve as a point person for coordinating and ensuring effective new hire technology orientation sessions that are consistent across all offices., • Develop and deliver comprehensive training programs covering firm systems, including desktop applications, financial tools (e.g., time entry, prebill editing, expense management, and vendor invoicing), telephone systems, and practice group-specific technologies, tools, and workflows tailored to each group's unique needs., • Champion the adoption of new technologies through engaging and practical training experiences. Effectively communicate the value of tools and workflows to increase user engagement and buy-in., • Provide legal document support to various practice and administrative departments., • Develop instructor notes and other instructional materials; plan, schedule, gather resources, and evaluate technology training., • Create and prepare training and/or reference materials such as quick reference guides, training manuals, tip sheets, asynchronous resources, and other materials., • Collaborate with department leaders and practice group heads to assess training requirements. Design, deliver, and evaluate customized learning solutions to meet those needs effectively., • In partnership with IT, troubleshoot legal and support applications for attorneys and staff. Responsible for user support, including Windows operating system, Microsoft Office, Document Management, Client Relationship Management, and other legal technologies used at the firm., • Provide or offer on-demand, remote/virtual, or in-person desk-side training and support as needed. Qualifications: • A Bachelor's Degree with 3 to 5 years of applicable work experience, preferably in a law firm setting., • Strong organizational skills with the ability to coordinate multiple projects simultaneously and adhere to deadlines required., • Strong verbal and written communications skills with critical attention to detail., • Demonstrated understanding of adult learning principles and the ability to adapt training approaches to meet the needs of diverse learner audiences., • Demonstrated curiosity, adaptability, and a growth mindset with a willingness to embrace new approaches, feedback, and evolving technologies., • Proven ability to learn new technologies quickly and translate technical concepts into practical, user-friendly learning experiences., • High energy and enthusiasm for driving change and user engagement required., • Strong knowledge of Windows OS required; in-depth knowledge of Microsoft 365 programs, including Word, Outlook, Excel, PowerPoint. Hands-on experience with NetDocuments, Litera Create, and NTD highly desired. Knowledge of AI tools and time entry programs such as iTimekeep a plus. Basic understanding of MAC OS and iPhone a plus., • Skilled in the use of Microsoft Teams, Zoom, and other online collaboration tools to facilitate training. Skilled in e-learning authoring software such as Camtasia a plus., • Basic understanding of International Practice and APO requirements is a significant plus., • Flexibility to work overtime when required.

Title: Program Manager – Deep Tech Ventures: Quantum, Semiconductors & Advanced Materials Start2 Group is looking for a well-connected, technically curious Program Manager to build and grow our presence in deep tech, with particular focus on quantum computing, semiconductors, advanced materials and manufacturing, and adjacent frontier sectors including space, defense, and dual-use technology. We are not looking for a narrow specialist. The strongest candidate has a genuine engineering or hard-science foundation and a track record of learning their way into an unfamiliar technology quickly – someone who can ask a founder good questions about work they have never encountered before and hold their own in a room of researchers, corporate innovation leads, or government stakeholders. Breadth, technical instinct, and curiosity matter more here than credentials in any single field. The role splits roughly evenly between outreach and program delivery. About half your time goes to identifying and building relationships with founders, investors, researchers, corporate partners, national labs, and public-sector stakeholders. The other half goes to designing and running the programs those relationships feed. Outreach at Start2 is supported by automation, shared workflows, and team resources. Location: Texas Triangle or New York, NY Job Function: Full-time Start: Immediately Compensation: Austin, TX: $100,000 Houston, TX: $90,000 Dallas, TX: $92,000 NY, NY: $125,000 Key Responsibilities Industry Outreach & Relationship Building • Proactively identify and build relationships with founders, researchers, investors, and corporate innovation leads across quantum computing, semiconductors, advanced materials and manufacturing, space technology, defense, and dual-use innovation., • Represent Start2 Group at industry conferences, research symposia, and specialized meetups to build credibility and visibility in these communities., • Develop a working network of universities, national labs, federally funded research centers, technology transfer offices, and specialized accelerators active in these sectors., • Maintain a regular, ongoing outreach cadence rather than one-off contact, using shared tools, automation, and team support to keep that cadence sustainable at scale. Startup & Partner Sourcing • Scout and assess deep tech startups for fit with Start2's programs, including companies whose technology has both commercial and public-sector applications., • Connect promising founders with relevant mentors, investors, and corporate partners in Start2's network., • Identify corporate, institutional, and public-sector partners whose needs align with deep tech programming, and hand qualified opportunities to the appropriate program or business development lead. Program Design & Delivery • Help shape the technical substance of programs serving deep tech cohorts: the curriculum, the workshop content, and what founders in these sectors actually need to learn., • Design workshops, mentor sessions, and cohort content in partnership with researchers, operators, and commercialization experts., • Recruit and curate the mentor and expert bench for these sectors, matching founders with advisors who have relevant domain and commercialization experience., • Support startup selection, assessing technical maturity and commercial readiness for companies with long development cycles and capital-intensive paths to market., • Run program operations for your cohorts, including scheduling, logistics, materials, founder onboarding, check-ins, and milestone tracking. Ecosystem Intelligence, Monitoring & Reporting • Track outreach activity, new relationships built, and pipeline of startups and partners sourced., • Collect feedback from founders, mentors, and partners to improve program design and outreach approach over time., • Provide regular updates to internal teams on ecosystem developments, funding movements, new contacts, and emerging opportunities across deep tech. What You’ll Bring to the Role Technical Foundation & Curiosity • An engineering, physical sciences, or comparable technical background, and a demonstrated ability to get up to speed quickly on technologies you have not worked with before., • Working familiarity with one or more of: quantum computing, semiconductors, advanced materials and manufacturing including additive manufacturing, space technology, or defense and dual-use innovation., • Ability to speak credibly with technical founders and researchers about their work and its commercial potential, and the confidence to say “explain that to me” when a technology is new to you., • To be explicit: we are not looking for a narrow specialist in any one of these fields. We are looking for someone who can move between them. Federal & Institutional Fluency • Understanding of how deep tech gets funded in the U.S., including SBIR/STTR, NSF, DOE and DoD research programs, national labs, and university technology transfer., • Familiarity with federal innovation ecosystems and public-private partnerships, and comfort engaging government and institutional stakeholders., • Awareness of the constraints deep tech founders face – long development timelines, capital intensity, export controls, procurement cycles – and how those shape the support they need. Networking & Relationship Management • Proven ability to build and sustain a professional network from scratch in a specialized or technical field., • Comfortable with sustained outreach, and with using tools, automation, and shared workflows to run it at scale rather than one message at a time., • Confidence engaging with founders, researchers, investors, and senior corporate, institutional, and government stakeholders. Program Management Skills • Solid project management fundamentals: able to plan, coordinate, and deliver program activities alongside outreach work., • Experience designing or contributing to programs that help startups commercialize, enter new markets, or navigate complex funding pathways., • Comfortable managing multiple relationships and workstreams at once without dropping follow-through. Cross-Cultural Competence • Ability to navigate cultural and business differences across founders, research institutions, and corporate stakeholders., • Strong written and verbal communication skills, comfortable working across geographies and technical disciplines. The Ideal Candidate • 3+ years of experience in a role involving deep tech or a related frontier sector, whether in industry, research, venture, or ecosystem support., • A technical generalist: deep enough to be taken seriously by founders, broad enough to move between quantum, semiconductors, advanced materials, and space without starting from zero each time., • A natural connector who is energized by meeting new people and building networks., • Equally comfortable being measured on the strength of the relationships built and on the quality of the programs delivered., • Some prior exposure to program management, cohort delivery, or event coordination is helpful but secondary to sector expertise and networking ability., • Familiarity with the U.S. startup ecosystem and the needs of early-stage deep tech companies., • Ability to work both independently and as part of a team in a fast-paced environment., • Willingness to travel domestically, and internationally as needed, to attend relevant industry events., • Professional working proficiency in English. How to Apply Please submit your application via email to Lauren Desrosiers at the address below by September 30, 2026. Along with your resume, please include a one-page cover letter that tells us about yourself, explains why you want to work at Start2 Group, and highlights why you are a good fit for this position. Contact: Lauren Desrosiers HR Manager, Start2 Group, Inc. lauren.desrosiers@start2.group As part of the application process, candidates will be required to complete a Predictive Index behavioral assessment to assess cultural fit and personality traits. This assessment takes approximately 6 minutes to complete and will help us understand how well your skills and personality align with the requirements of the role and our company culture. _ About Start2 Group: Start2 Group is a global powerhouse taking your startup journey to the next level. As a premier international innovation platform, we serve as the ultimate destination for growth-oriented startups, corporations, and governments to shape and scale purpose-driven ventures. Founded in 2008, Start2 Group has consistently played a pivotal role in the success stories of 6,000 of startups, guiding them seamlessly from initial fundraising to global expansion. Our influence spans key markets across Europe, the America, Asia, and the Middle East, shaping the future of innovation on a global scale. Join us in fostering purpose-driven innovation across borders. Equal Employment Opportunity Policy Start2 Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Katten is a fullservice law firm with approximately 650 attorneys in locations across the United States and in London and Shanghai. Clients seeking sophisticated, high-value legal services turn to Katten for counsel locally, nationally and internationally. The firm’s core areas of practice include corporate, financial markets and funds, insolvency and restructuring, intellectual property, litigation, real estate, structured finance and securitization, transactional tax planning, private credit and private wealth. Katten represents public and private companies in numerous industries, as well as a number of government and nonprofit organizations and individuals. Professional Development Manager Under the direction of the Director of Professional Development and Well-Being, the Professional Development Manager (“PDM”) is responsible for managing a full range of professional development (“PD”) programs, processes, and initiatives attorneys at the firm. In addition to these core responsibilities, this position serves in a leading role on the firm’s non-partner lawyer evaluation process, working closely with the Director and other Professional Development Managers on the non-partner lawyer evaluation process. This position supports the Litigation Department and leads the firm's Mock Trial Advocacy Program, Mock Deposition Training Program, and Litigation Fundamentals Series. Additional departments and practice groups will be assigned. The PDM will engage Department Heads, Practice Group Leaders, Chiefs, Directors, and other firm management with developing lawyers to their highest potential. The PDM will also design and implement substantive and skills-based curricula, and support milestone events. The PDM collaborates with the Talent, Practice Management, Marketing & Business Development, and other administrative teams to develop effective programs that positively contribute to staff and attorney development, retention, and progression. The Professional Development Manager maintains professionalism and strict confidentiality in all client and firm matters. The Professional Development Manager can be located in our New York, Chicago, or Dallas offices. Katten offers a hybrid work model, allowing the flexibility to work both on-site and remotely on a regular basis (KattenFlex). This role will require working onsite a couple days a month or on an as needed basis due to PD-related events. Essential Duties and Responsibilities include, but may not be limited to, the following. Other duties may be requested and/or assigned. Regular and predictable attendance is an essential function of the position. Essential functions are primary job duties that an individual must be able to perform successfully with or without a reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Training and Development Initiatives: • Responsible for the selection, development, and execution of training and development initiatives for lawyers., • Partner with management to analyze performance gaps, identify needs, and present recommendations for training and development., • Plan, design, and implement training programs in alignment with the firm's Lawyer Success Factors and Associate Competency Frameworks and to meet the objectives of the Department / Practice Group. Department / Practice Group Support: • Partner with department heads, practice group leaders, and talent development partners to assess and support the professional development needs of lawyers within assigned practice groups., • Manage and deliver tailored mentoring programs, training initiatives, coaching opportunities, and other development resources to support the growth, retention, and success of attorneys., • Serve as a strategic advisor to practice group leadership, leveraging insights and best practices to foster an environment that prioritizes learning, engagement, and career progression. Milestone Events / Department Training Events: • The PDM will design and implement Firmwide Academies and other practice group/department specific training programs, including the firm’s Mock Trial Advocacy Program and Mock Deposition Training Program, that align with the firms strategic goals and support the growth and progression of lawyers and staff at key career stages. Performance Evaluations: Evaluation Process Management: • Serve in a managing role in the design, implementation, communication, and execution of the firm's non-partner lawyer evaluation processes., • Partner with the PD team on the redesign of the evaluation framework and on the selection, configuration, testing, and rollout of a new evaluation system., • Develop communications, guidance materials, and training to ensure reviewers and lawyers understand the process, tools, and expectations. Process Administration: • Manage the administration of the evaluation process, including scheduling, monitoring completion, quality control of written feedback, preparation of review messaging, and facilitation of the delivery of formal reviews., • Produce reporting for firm and practice group leadership and identify trends that inform curricula, coaching, and retention strategy., • Advise partners on specific and sensitive performance-related situations and coach lawyers on implementing the feedback they receive. Individual Development Plans and Performance Improvement Plans: • Support a structured IDP process for lawyers in assigned practice groups, working with individuals to translate evaluation feedback and competency expectations into concrete goals and measurable milestones, with follow-up throughout the year., • Collaborate with the Talent Management team on the development, documentation, and monitoring of PIPs, including identifying appropriate development resources and tracking progress against defined expectations. Career Coaching / Advising: • For attorneys, provide individually tailored guidance in development of both near and longer-term career goals, and then provide advice and feedback on strategic plans to achieve those goals., • Coach attorneys through the process of identifying a range of possible career options, taking into account attorney's professional and personal background, needs, goals, and preferences. PD Intelligence: • Keep abreast of trends in professional development for attorneys. Evaluate content and presenter effectiveness to ensure efficient delivery of content and that the topic is of interest to the firm., • Assist Talent team on other projects, as required. Supervisory Responsibilities • Directly supervises professional development staff (specialist/coordinator/assistant) and is responsible for their overall direction, coordination, and evaluation. Carries out supervisory responsibilities in accordance with firm’s policies and applicable laws. Responsibilities include interviewing and training; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems; making recommendations for hiring, promotion, compensation, and termination. Knowledge, Skills, and Abilities • Bachelor’s degree is required; a JD is highly preferred. Five or more years of professional development experience at a law firm, law school, or other professional services firm is required. Two or more years of previous supervisory experience is required., • Working knowledge of CLE rules and requirements and best practices regarding CLE processes and procedures. Familiarity with California, Florida, Illinois, New York, North Carolina and Texas, CLE requirements preferred., • Comfort with emerging technologies, including artificial intelligence tools, and an interest in thoughtfully applying them to professional development programs, processes, and content in a manner consistent with firm policy., • Advanced knowledge of Windows-based systems, particularly the Microsoft Office 2010 suite. Familiarity with viDesktop/Aderant Eval and LMS, CE Manager, and SharePoint highly desirable. Familiarity with document management systems and other legal applications highly desirable., • Excellent interpersonal, oral, and written communication skills. Written work products are appropriate to the audience and written in a clear and concise manner that effectively gets the message across. Ability to communicate with courtesy, diplomacy, and discretion, efficiently follow written and verbal instructions, provide information, and maintain effective relationships with a diverse group of attorneys, firm management, clients, staff, and outside contacts, including speaking before groups of individuals., • Excellent organizational, planning and project management skills including accuracy, record keeping, data collection and system information. Ability to compile and analyze data and furnish concise, detailed information in report format, written correspondence, e- mail or verbally., • Highly motivated, strategic focus: ability to understand and support firm goals, services, culture and strategy to present self and the firm in a positive, professional manner. Commitment to staying informed of industry standards and best practices through professional development, to including professional reading, membership in industry groups and organizations, and participation in seminars and conferences., • Exhibits high degree of initiative in managing multiple priorities simultaneously in a fast-paced, deadline-driven, high-stressed, detail-oriented work environment. Ability to work with frequent interruptions and adapt to changes in workflow., • Dependable team player with high energy, creativity and vision who works collaboratively and cooperatively with others in a team-oriented environment. Ability to act independently within scope of the position’s responsibilities as a decision-maker and contributor on all levels., • Encourages an atmosphere in which everyone exchanges ideas, is open to new ideas and processes, and is respected for their contributions by being helpful, approachable, and team oriented., • Excellent analytical and technical skills requiring an aptitude for detail, precision, and logic. Proactive with excellent troubleshooting, problem resolution, and follow-through skills. Possess the ability to identify and propose resolutions to problems in a timely manner through use of resources, including asking questions, gathering facts, and reviewing records., • Ability to occasionally retrieve and distribute files, written documentation, or office supplies weighing up to 10 pounds., • Must be flexible to work overtime, travel on occasion, accept tasks outside of normal job duties, and be open to assume new responsibilities if the needs of the department changes. For the New York Office, the annualized salary range for this position is $155,000 to $175,000. For the Chicago office, the annualized salary range is $150,000 to $170,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. We offer an outstanding benefit package which includes: medical/dental/vision, 401k with employer contribution, parental leave, transportation fringe benefit program, back-up care option, generous paid time off policy, and long-term and short-term disability policies. Katten Muchin Rosenman LLP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Portfolio Management • As the focal point for all AI initiatives within the IT team, manage a dedicated AI portfolio and consult with the cross-functional IT teams on their AI projects, fostering a cohesive approach to AI development and implementation. Develop and implement ethical AI solutions • Identify and translate complex business challenges into AI solutions., • Assess organizational needs, recommend ethical solutions, gather requirements, design and develop AI solutions, and deploy them into production environments within required budget and quality standards expectations., • Define project scope, gain insight and agreement from others, allocate resources, manage timelines, and mitigate risks. AI Strategy • Collaborate with the CITO and senior leaders from cross-functional teams on refining the foundation’s AI strategy to ensure that the foundation’s AI systems, guidelines, processes, and procedures are aligned to the foundation’s mission and values and are being scaled throughout the entire foundation. Governance & policy development • Monitor evolving AI regulations and data privacy laws., • As a key member of the AI Advisory Group, draft, implement, and maintain clear, accessible Responsible AI guidelines, safety policies, and use-case criteria for the whole foundation to follow., • Ensure all AI-related activities, all relevant stakeholders are aware of and adhering to ethical guidelines and protecting organizational data., • Promote responsible AI development and deployment within the organization across departments, while considering potential biases, fairness, and transparency in AI systems. AI Model evaluation and optimization • Continuously monitor and evaluate the effectiveness and performance of AI models, identifying areas for improvement and implementing optimization strategies to reduce our carbon footprint and enhance accuracy, efficiency, and scalability. Vendor & technology assessment • Remain up-to-date with emerging AI trends, technologies, and best practices., • Research and recommend new AI tools and techniques to improve operational efficiency and drive innovation., • Evaluate, propose and manage AI vendors and consultants to deliver strategic value within an approved budget., • 8+ years of related professional experience and a Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field (or an equivalent combination of education and experience). Required Skills • Proficient in Python and AI frameworks (e.g., TensorFlow, PyTorch), with expertise in machine learning, deep learning, NLP, foundational models, and GenAI technologies., • Experienced in Generative AI techniques (e.g., LLMs, LangChain, RAG), Agentic architecture, and establishing connections using Model Context Protocol (MCP)., • Experience with Google Cloud Platform (GCP), Vertex AI, and production deployment using Gemini Enterprise or equivalent platforms (working knowledge of Google’s ADK is a plus)., • Familiar with major cloud platforms (AWS, Azure, GCP), data technologies (SQL, Hadoop, Spark), and AI Ops principles (CI/CD pipelines, containerization, automated testing)., • Experienced in deploying AI models to cloud environments—optimizing for performance, latency, cost, and resource utilization (GPU/TPU)—and troubleshooting issues like performance drift., • Strong capability in working with large datasets, extracting meaningful insights from unstructured data, and understanding content management systems, knowledge graphs, and information retrieval techniques., • Demonstrated ability to recommend and apply practical AI solutions to real-world problems within content-rich domains., • Deep conceptual understanding of how models process data, exhibit bias, and handle data privacy., • Excellent project management skills with experience managing complex AI projects using Agile development methodologies., • Experience managing AI vendors and the technical capability to evaluate vendor claims regarding model safety, data retention, and training data provenance., • Strong communication, interpersonal, and relationship-management skills

Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation), • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications, • Retrain, maintain, and monitor models in production, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale, • Construct optimized data pipelines to feed ML models, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI, • Use programming languages like Python, Scala, or Java Basic Qualifications: • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering), • At least 4 years of experience programming with Python, Java, Golang, or C++, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn), • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc., • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans., • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting), • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models., • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation, • Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation), • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications, • Retrain, maintain, and monitor models in production, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale, • Construct optimized data pipelines to feed ML models, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI, • Use programming languages like Python, Scala, or Java Basic Qualifications: • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering), • At least 4 years of experience programming with Python, Java, Golang, or C++, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn), • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc., • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans., • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting), • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models., • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation, • Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Five Iron Golf is seeking a Golf Coach. This individual is primarily responsible for delivering high quality golf instruction and will report directly to the General Manager of Performance. Five Iron Golf is redefining the way people experience golf. By combining our passion for the game with cutting-edge technology like TrackMan and Callaway Tour Fitting, we help every golfer — from beginners to seasoned competitors, reach their full potential in a fun, inclusive, and tech-driven environment. We're not just a golf facility; we're a community that celebrates learning, improvement, and connection. Our coaches are the heartbeat of that community, ambassadors who bring energy, expertise, and excitement to every lesson. We're looking for a Golf Coach who is passionate about helping others improve their game while delivering an exceptional experience. This position reports directly to the General Manager of Performance and plays a key role in developing lasting relationships with our members and guests. As a Five Iron Coach, you'll balance high-quality instruction with engagement time, working closely with our Social and Performance Teams to introduce golfers to lessons, fittings, and memberships. As you grow your client base and achieve performance goals, you'll transition into a full-time instruction role, supported by our Coach Development Program. • Deliver best-in-class golf instruction through individual and group lessons for players of all skill levels., • Utilize TrackMan and other Five Iron technologies to provide data-driven, personalized coaching and custom club fittings in partnership with Callaway Tour Fitting., • Actively engage guests during Golf Experience Engagement Time — promoting lessons, swing evaluations, fittings, and memberships., • Build and retain a loyal client base by creating welcoming, memorable, and performance-driven experiences., • Represent Five Iron Golf at corporate events, delivering fun, high-energy instructional sessions., • Maintain a consistent lesson schedule that meets productivity goals and performance expectations., • Leverage social media to promote your coaching services and the Five Iron brand., • Conduct junior clinics and support community outreach programs to grow the game., • Follow up with students to convert swing evaluations into ongoing lessons and achieve key performance indicators (KPIs)., • Serve as an on-floor Performance Expert, engaging with members to elevate their overall golf experience., • Participate in ongoing education and certification programs to continually sharpen your coaching skills., • Minimum 2 years of golf industry experience or graduation from a PGM program., • Proven one-on-one and group coaching experience preferred., • Strong understanding of swing mechanics, ball flight laws, and launch monitor data., • Proficient with video analysis and comfortable with golf technology tools., • Excellent communication skills — able to connect with golfers of all skill levels and explain complex concepts clearly., • Energetic and engaging personality with the ability to facilitate fun, group-based learning experiences., • Driven to learn, grow, and help students achieve measurable improvement., • Bachelor's degree preferred., • PGA or LPGA affiliation and/or PGM program graduation are strong pluses., • Physically able to stand, bend, and lift up to 30 lbs for extended periods. At Five Iron, we're serious about supporting our coaches, both on and off the course. We offer: • A set schedule with two days off per week for true work-life balance., • Additional time off for tournament play, so you can keep competing if you choose., • Eligibility to become a Callaway Staff Member., • Access to the Five Iron Coach Development Program, including free certifications: TrackMan, Golf Digest Coach, Callaway Fitting., • PGA dues covered by Five Iron., • Free meals while working., • Unlimited practice privileges at all Five Iron Golf locations If you're passionate about golf, thrive in a social, tech-forward environment, and love helping others play their best, Five Iron Golf is the place for you. Come be part of a team that's shaping the future of golf instruction — one swing at a time. Benefits only apply to Full-Time Employees Job Types: Full-time non-exempt Pay: Estimated total annual compensation ranges from $70,000 to $100,000, depending on performance. Includes a competitive base salary plus strong incentive-based compensation opportunities. Five Iron Golf is committed to celebrating diversity and creating an inclusive environment for employees of all backgrounds. Five Iron Golf provides Equal Employment Opportunity to everyone and complies with all applicable Federal, State and Local laws governing nondiscrimination in all locations. Five Iron Golf will consider all requests for reasonable accommodations as required.

New York City, NY; San Francisco, CA | New York City, NY Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development. • Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates, • Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the technical leaders (CTO, VP Engineering, Head of AI) who own model decisions, • Lead strategic account planning including executive business reviews, health checks, usage and forecast reviews, and renewal negotiations, • Partner with customers to identify new use cases, workloads, and products that expand their AI capabilities with Anthropic, • Navigate complex commercial conversations — multi-stakeholder deals, evolving usage patterns, and competitive evaluations — in partnership with Applied AI and product teams, • Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap, • Develop and execute account strategies that align Anthropic's solutions with customer business objectives, • Proactively identify and mitigate retention and competitive risks while maintaining high customer satisfaction, • 12+ years of experience in sales or account management roles, with a proven track record of growing large, complex accounts and exceeding retention and expansion targets, • Success as a strategic business advisor to founders and executives, deeply understanding fast-scaling startup needs and creating solutions that align with their vision, • Experience managing complex, multi-stakeholder sales cycles, working with technical stakeholders, and negotiating strategic deals, • Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to founders and C-level executives, • Analytical approach to understanding customer needs and usage combined with creative solutions to drive expansion, • A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality, • Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly, • Experience running executive business reviews and managing executive relationships, • Track record of consistently meeting or exceeding quota in fast-paced environments, • Experience selling or expanding usage- or consumption-based API, infrastructure, or developer-platform products, • Experience selling to technical founders, CTOs, and engineering leaders at AI-native or developer-first companies, • Fluency in the LLM/AI market — model providers, capabilities, pricing models, and how AI-native companies evaluate and switch between them, • Experience structuring larger commercial agreements (usage commitments, multi-year terms, enterprise contract terms) with fast-growing customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $380,000 USD Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Pfizer's purpose is to deliver breakthroughs that change patients' lives. Process Development is at the heart of fulfilling this purpose as we translate advanced science into streamlined, robust processes that deliver medicines to patients globally. As a Senior Associate Scientist within the Early Bioprocess Development (EBPD) group in the Vaccines organization, you will apply cutting-edge technologies to accelerate the development of high-quality protein subunit vaccines. This role is highly technical and collaborative, requiring deep hands-on expertise in molecular biology, cell culture, and data-driven process optimization. Your goals will be: • Optimize cell line development workflows to improve subunit protein expression, overall productivity, process efficiency and biological robustness of the production systems, • Execute fermentation to characterize key performance indicators including cell fitness, growth, recovery, protein production yield, protein purity etc., • Perform data analysis to identify patterns, establishing quantitative correlations between input parameters such as DNA sequences and output values such as protein yield and quality., • Present experimental data and strategic conclusions at cross-functional meetings, contributing to team-wide knowledge sharing. Collaborating with multi-disciplinary teams and working closely with the cell culture, purification, mRNA production and analytical groups. Maintain impeccable, timely records in Electronic Laboratory Notebooks (ELNs) and author comprehensive technical/production reports. Draft, review, and contribute to internal technical reports and external scientific publications. Contribute to building a culture that embraces excellence, urgency, partnerships with key stakeholders, continuous learning and improvement, increasing technical skill base and other cross-functional expertise. Ensure all tasks and responsibilities are carried out according to scientific, ethical and regulatory standards. • B.S. degree with 3 to 5 years of relevant industry or research experience, or M.S. in bioengineering, biochemistry, chemical engineering or related fields with 0 to 3 years of experience, • Experience in aseptic cell culture techniques, including cell passaging and maintenance, transfection, monitoring cell morphology and viability., • Experience in using flow cytometry, and cell sorting cytometers as well as flow cytometry analysis software such as FlowJo., • Knowledge and hands-on experience in molecular biology techniques including DNA/RNA extraction, PCR, ddPCR, RT-PCR, ligation, cloning, transformation, gel electrophoresis, SDS-PAGE, western blot, ELISA., • Well organized, self-motivated, team-oriented with high attention to detail., • Strong collaborative spirit and communication skills., • Experience in setting up, feeding, sampling and controlling benchtop or single-use bioreactors (batch, fed-batch), • Hands-on knowledge and experience with NGS sequencing platforms. Work Location Assignment: On site

Job Description Job Title : Tech1, Product Development Engineering Location : Franklin Lakes, NJ, US, 07417 Contract Type : 12 months on W2 Shift : 1st shift Payrate : $23 -$26/hr Job Summary: The Laboratory Technician I Contractor in the Materials & Characterization R&D group will be responsible for conducting testing /experiments; writing technical reports; supporting test request workflow and operation of equipment in the materials characterization labs. They will ensure compliance with Client quality policies, procedures and practices through appropriate communication, training and education of sound quality assurance principles; ensure compliance with all local, state, federal and Client safety regulations, policies and procedures. Project Responsibilities: • Reporting to the Lab Manager, the incumbent performs bench-level engineering tests and/or research experiments designed to test the feasibility of concepts or technologies required for development or revision of new products., • Lab Organization: Follow and support the workflow process for the materials R&D labs including instrument operation and maintenance. Follows GLP., • Process Effectiveness: Ensure appropriate processes are followed for effective and timely stakeholder engagement and completion of assignments., • Continuous Learning: Actively seek training to improve skills. Ensure technical lessons are reviewed, learned and disseminated. Leadership • Accountability: Demonstrate strong and clear accountability for the successful and timely completion of assigned tasks., • Communication: Hold and encourage frequent formal and informal communication within the team. Required Qualifications • Bachelor’s Degree in a Technical or Science Field., • 0-5 years relevant experience in a technical discipline, or a combination of equivalent education and experience., • Experience with polymer characterization / testing instruments and equipment., • Training in laboratory safety and procedures., • Good communication skills (written and verbal). Desired Qualifications • Experience operating one or more specific instruments / equipment including Instron mechanical tester; TGA; DSC; FTIR; Rheometers, Profilometers; is desired., • Good technical skills and judgment., • Basic understanding of disciplined product development processes, regulatory and quality requirements., • Strong fit with Client values., • Experience with basic statistical analysis and software (e.g. Minitab) preferred., • Proficient in MS Office / Word / Excel / PowerPoint.

Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies that power the firm's most critical AI and platform capabilities. As a Principal Architect at JPMorganChase within the Enterprise Technology (Core Foundational Platforms) team, you provide deep expertise to enhance and evolve architecture platforms built on modern cloud-based technologies, while supporting the adoption of strategic global solutions at scale. You define the foundational platform architecture that underpins the firm's AI capabilities — ensuring they are abstracted, portable, and resilient enough to serve AI workloads wherever they run. Leveraging your advanced architecture capabilities, you collaborate with colleagues across the organization to translate AI ambitions into durable platform designs, so that model training, fine-tuning, and inference rest on consistent, well-governed data and compute foundations. In this role, you drive best-in-class outcomes by bridging technical vision with engineering execution across a globally distributed organization. Job Responsibilities • Advise cross-functional teams on technology selection, architectural abstractions, and integration patterns to achieve target-state architecture and drive continuous improvement across current technologies, • Define and document foundational platform architecture for neocloud, on-premises, and appliance-based environments, capturing target-state designs, trade-offs, and standardized deployment patterns, • Ensure platform alignment with the firm's firmwide control plane architecture, including abstraction of database and other services to enable deployment on-premises, in neoclouds, at the edge, or in high-risk locations, • Shepherd designs through all architectural review gates — permit to plan, permit to build, permit to deploy, and permit to operate — ensuring each checkpoint's evidence and approvals are satisfied before progressing, • Develop and maintain multi-year architecture roadmaps aligned with business strategy, AI platform priorities, and engineering capacity, • Specify new architectural patterns where necessary to enable emerging AI capabilities, and establish reuse-first, AI-enabled engineering patterns and governance across the software development lifecycle, • Apply enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, roadmap development, and design decisioning, with human-in-the-loop validation and appropriate handling of sensitive data, • Develop secure, high-quality production code and review and debug code written by others, ensuring compliance with architecture standards and firm controls, • Ensure engineering alignment with architectural direction through structured reviews, design feedback, and prioritization of engineering tasks required to achieve architectural imperatives, • Document proper integration with firmwide services — including identity and access management — while satisfying all necessary security and compliance controls, • Serve as the team's go-to subject matter expert and contribute to the development of technical methods in specialized fields, in line with the latest product development methodologies Required qualifications, capabilities, and skills • Formal training or certification on architecture concepts and 10+ years applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability across complex, large-scale environments, • Expertise in one or more programming languages with a strong foundation in writing, reviewing, and debugging production-grade code, • Deep knowledge of software, applications, and architecture, including advanced software architecture, application development, and technical processes within one or more disciplines such as cloud, artificial intelligence, machine learning, or mobile, • Demonstrated experience applying enterprise-authorized AI capabilities within architecture and engineering workflows, with strong validation habits and awareness of data sensitivity, • Ability to evaluate and integrate AI-enabled capabilities into scalable platforms while meeting resiliency, security, and auditability requirements, • Experience applying expertise and new methods to determine solutions for complex architecture problems across one or more technical disciplines, • Experience leading a product as a product owner or product manager, with the ability to align technical direction to business outcomes, • Ability to present and effectively communicate complex architectural concepts to senior leaders and executives Preferred qualifications, capabilities, and skills • Formal training or certification in enterprise, solution, or software architecture — such as TOGAF, The Open Group Certified Architect (Open CA), SEI/Carnegie Mellon software architecture, or an equivalent cloud provider Professional or Expert Architect certification from AWS, Azure, or Google Cloud, • Experience designing and operating AI/ML platform infrastructure, including model training, fine-tuning, and inference workloads across hybrid and multi-cloud environments, • Familiarity with edge computing, high-risk deployment environments, or regulated infrastructure patterns, • Experience establishing architectural governance frameworks, including design review processes, pattern libraries, and engineering standards at an enterprise scale, • Background in platform engineering or developer experience tooling, with a focus on enabling engineering velocity through reusable, well-governed foundations