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Amazon's Sponsored Brands Advertising org stands at the forefront of digital commerce innovation, seamlessly blending advertising expertise with e-commerce excellence. Our platform empowers businesses to connect with millions of Amazon shoppers through sophisticated advertising solutions, spanning across Amazon.com and affiliated platforms. With our customer-first philosophy, we're revolutionizing how brands engage with shoppers, creating immersive and personalized discovery experiences that transform the traditional shopping journey. Our team crafts visually compelling, targeted advertising experiences that help brands capture customer attention during crucial decision-making moments, resulting in billions of daily ad impressions and millions of customer engagements. We are seeking an experienced and innovative software engineer to join our team and drive new initiatives in ad technology. You should be passionate about defining product technical strategies and architectures, and ready to collaborate with business partners to design, implement, and launch Gen AI ad solutions. You will be responsible for developing highly scalable distributed systems that guarantee availability, scalability, and low latency. We're looking for someone with strong technical skills and proven experience leading large-scale distributed services. The ability to thrive in an entrepreneurial environment, handle ambiguity, and manage competing priorities is essential. This role offers a unique opportunity to work at the intersection of e-commerce, advertising, and state-of-the-art machine learning techniques. If you're excited about making a lasting impact in the advertising space and possess the skills to excel in a fast-paced, innovative environment, we want to hear from you. Key job responsibilities • Design and develop highly scalable services processing millions of daily requests., • Solve complex software challenges using state-of-the-art technology., • Translate functional requirements into robust, scalable solutions., • Evaluate and select appropriate software products and tools., • Gain exposure to search, advertising, and e-commerce platform technologies., • Collaborate with data scientists and product managers on machine learning experiments., • Implement end-to-end solutions to improve predictive models and infrastructure., • Establish best practices and drive improvements in design, development, and operations., • Mentor junior engineers in design, coding, troubleshooting, and operational excellence., • Participate in Amazon's Software Development Community through MeetUps, Hackathons, and Conferences. About the team Our team scope is broad and impactful. Our team works on shopper facing SB distributed services, which serve billions of Amazon shoppers and millions of Advertisers internationally. We are working on multiple cross-org architectural and business projects with highest impact and visibility – all are critical, forward-looking, strategic opportunities for Amazon. Our vision is to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, & personal, while allowing advertisers to sustainably grow their brand and business at scale with our advertising product(s). About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Background in advertising technology or e-commerce platforms, • Demonstrated track record of innovative AI solution development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 184,900.00 - 250,200.00 USD annually

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. This role is fully in-person Monday through Friday, with hours spanning from 6:00am-4:00pm, and as needed. The school buildings we are hiring for are as follows: • 1910 Arthur Ave., Bronx, NY 10457, • 401 West 218th St., New York, NY 10034, • Split between two sites: 1475 Macombs Rd., Bronx, NY 10452 and 1325 Jerome Ave., Bronx, NY 10452Deliver powerful results To achieve our vision, we are searching for a Building Superintendent / School Property Supervisor with a Bachelor's Degree (exceptions could be made for certain experience), and at least 3-5+ years of relevant experience as a building superintendent, who is fueled by a passion for team success and continuous improvement. Responsibilities: • Executing projects coordinated and supervised by the school-based Operations Director and the Network Facilities Team including small- and large- scale repairs, • Maintains fire prevention systems including sprinkler system, fire alarm panel, and fire extinguishers, • Maintains HVAC system including the maintenance of the HVAC system as well as providing guidance for our staff on how the system needs to be operated, • When outside vendors are required, coordinates all work being done - receives and monitors vendors at the school, and holds them accountable to 100% timely, excellent completion, • Responsible for performing multiple repair and maintenance tasks throughout the day (24 hour fix on all work), which could include, but is not limited to:, • Carpentry work: Painting, millwork, • Electrical repairs: Lightbulbs, wiring, circuit breakers, fuses, etc., • Plumbing repairs: Toilets, faucets, leaks, etc., • General facility repairs: Repairing doors, locks, flooring (e.g., damaged tiles), desks, etc., • General facility maintenance: Trash and recycling maintenance, all scheduled maintenance visits for key building systems (HVAC, sprinkler systems, elevators, etc), • Available evenings and weekends as needed for facilities work taking place in building or for any facilities emergencies, • Wear multiple hats as a part of a lean scale-up team, supporting the work of others on the team and taking on new projects and tasks as neededJoin our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for an immediate start date and onboarding on a rolling basis. The salary range for this position is between $80,000 and $110,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience in facilities and internal equity. Compensation is based on our salary scales. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Competitive salary, • Dental insurance, • Employee discounts, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development, • Vision insurance WAGE RANGE: $22.00-$25.00 PER HOUR The Resale Revolution Starts With You! Every great team is led by a great leader. As an Assistant Manager, you will assist the Store Manager with day-to-day operations and bring our brand promise to life: to offer a fun, fashion-centered, and affordable shopping experience to our communities. Assistant Managers help drive Crossroads' values- creating an inclusive environment where all feel welcome to enjoy a second-hand shopping and selling experience. Minimum Requirements: Prior experience in retail management (1 year+) Have a good eye for fashion and current trends. Must be able to work a minimum of 31 hours per week. Must be authorized to work in the United States. What Youll Do: When you join Crossroads, you are joining the sustainable fashion movement and reshaping fashion culture. And you arent just impacting the planets future- you are impacting your own. • We have clear paths for promotion and several routes you can take as you embark on your second-hand management journey., • Youll learn how to run a second-hand business youll embody an entrepreneurial spirit- learning everything from buying, merchandising and inventory practices to gaining and maintaining the trust of a customer base who has been devoted since day one.You are:, • A Team Player. You are as enthusiastic about the success of others as you are about your own success., • Authentic. You are your unique self!, • Fashion-focused. You eat, breathe, and sleep style. Fashion is life., • Adaptable. You feel comfortable adjusting to changing circumstances and encourage your teammates to do the same. We problem-solve together!, • People-first. You are energized by people. You radiate kindness and positivity! You understand your impact and are someone who uplifts others., • A Trainer. You enjoy explaining how things work and have patience when teaching others.You will:, • Engage. You get to meet new people, every day! Lead by examplegreet each customer with a smile and welcome them to our store. Create a welcoming, fun, and inclusive environment to shop and work in., • Prioritize + Delegate. There will be a lot coming your way from running breaks to noticing lines- youll need to use your team to get everything done and run the store like a well-oiled machine!, • Be Customer-focused. You will guide your team to help customers learn how we work and try selling! Each customer has different needs and its up to your team to help them out., • Be a Mentor and Coach. Youll guide your team members in developing their skills using our training tools and growth plans. Your goal is to support your team!, • Be Transparent. You will have clear and consistent communication with your manager. Partnership is a cornerstone of our leadership philosophy- two heads are better than one! We all bring unique perspectives to problem-solving!, • Have Integrity. You will act with integrity in words and actions- do the right thing and do it right, even when its difficult., • Be Compassionate. You will embody our core values of service, inclusion, and education. Its important that we connect with all customers and try our best to help them., • Be Reliable. You will show up to work on time and ready to go!, • Be Flexible. You understand that needs change and evolve throughout the day-you know how to support your team and customer as needed. Perks Health + Wellbeing We will: • Support your physical + mental health. We care about our employees wellbeing and offer a mental health day in addition to sick PTO., • Prioritize wellness for all. We offer medical, dental, and vision insurance for ALL employees who work at least 20 hours a week!Work/Life Harmony We will: • Encourage you to live your best life by taking vacation time!, • Offer you a set schedule with 2 consecutive days off., • Give you incentives when you work during the holidays. We give you overtime pay for select holidays throughout the year, and are closed on Thanksgiving and Christmas., • Encourage work/life balance. We offer flexible scheduling so that you can meet work & life needs!Financial Health We will: • Contribute to your 401(k). Free money? Well match up to 6% of your contribution as soon as you are eligible! We offer both a Roth and traditional 401(k)., • Offer a generous discount on all merchandise including luxury consignment pieces- shop where you work!, • Be Transparent. We have clear pay ranges and always advertise pay for positions. We believe in pay equity., • Offer Earned Wage Access. Need money before payday? Youll be able to access pay as you earn it through our partner app ZayZoon, • Contribute to Commuter Benefits. Take public transit? Well contribute and match a portion of your commuter account monthly.Growth + Development We will: • Empower you. Our Employee Resource Group (ERG) gives you a seat (and a voice) at the table. Employees meet monthly to discuss shaping the company through a diverse lens and meeting DEI commitments., • Let you take the lead. We offer clear paths for growth and ongoing professional development that are straightforward and attainable., • Celebrate with you. Well provide you with many opportunities to bond with your team as you celebrate successes together., • Equip you with the tools to be successful. As you onboard & throughout your career, our training programs will set you up to win. About Crossroads One of the first companies to pioneer secondhand clothing as an alternative to traditional retail, Crossroads Trading has been buying, selling, and consigning name brand and designer clothing in a friendly, fun, and fashionable atmosphere since 1991. Since opening the doors of its first location in the heart of San Franciscos Fillmore District, Crossroads has expanded over time to 39 retail locations spanning Northern and Southern California, Chicago, Seattle, Portland, Denver, New York, Houston, and Dallas. And in recent years, we have added Sell-By-Mail and Concierge programs to provide convenient new ways for fashionable and eco-conscious customers to sell their gently used clothing. Crossroads has been featured in Harpers Bazaar, Teen Vogue, and LA Mag, and is widely recognized as an industry leader in the resale revolution. If you like sustainability, fashion, and working in a fun, positive environment, youll enjoy a career with us!

Job Description Catbird is looking for an experience Store Manager to lead our thriving Rockefeller Center store. The Store Manager is the leader of their retail location business. The Store Manager is responsible for store sales, managing and developing their store team and developing store processes & procedures to continuously elevate the customer experience and overall growth of the business. Store Managers blend their strategic business mindset with their passion for people; managing customer experience and employee experience in accordance with the Catbird retail brand culture. About Catbird: Catbird is a Brooklyn-based fine jewelry brand known for its commitment to quality craftsmanship, ethical sourcing, and sustainability. With a loyal customer base built over two decades, Catbird operates both a beloved retail presence and a thriving direct-to-consumer e-commerce business. We are a small, close-knit team that values curiosity, collaboration, and the belief that beautiful things should be made responsibly. Key Responsibilities This role is for you because you can: Deliver exceptional customer experience: By nature, you are overjoyed to work directly with customers and on a retail sales floor. You provide an exceptional level of service, setting the standard in your store for customer experience. You coach, train, motivate and develop multiple levels of store staff (entry level associate to Assistant Manager) to ensure your team is meeting our customer service standards. You are ready to solve any customer issue that arises and develop your team to do the same. Create a great employee experience: You build a bench of exceptional customer-centric sales associates. You onboard, train and develop an entrepreneurial and customer-obsessed team. You provide ongoing feedback and coaching to develop your team to be their best. Communicate like a pro: You give clear, kind feedback to improve performance, you ensure your team has access to all necessary information, you send clear and concise written communication utilizing appropriate communication channels, and you are pro-active in your communication with your manager. Schedule your retail floor: You can schedule your retail floor with a meticulous attention to detail according to business needs, employee availability and requested time off. You work smarter to find the most efficient ways to complete this business-critical task so that your retail store operates like a well-oiled machine. You are meeting the weekly, period and quarterly payroll goals. Manage competing priorities: You love and appreciate that although Catbird isn’t a new kid on the block, we’re always learning, growing and changing. You are eager to lead with solutions not complaints and you know that when you prioritize effectively you can handle anything. Drive business results: You are hungry to analyze business reporting on a daily, weekly, monthly and quarterly basis and adjust your business strategy and motivate team performance to drive sales and achieve key business metrics. You manage performance and processes to company policies and maintain all store operations in alignment with policy updates. You can oversee, execute and approve payroll and store expenses. You utilize your tools to effectively manage your inventory levels and maintain an exceptional level of visual display at your store. Leverage your resources: You are the first one to ask for help, but not before checking the tools and resources available to you. You’re ready and willing to pick up the phone and partner with your manager and key business partners to solve problems, initiate new ideas and create new experiences. Our Ideal Candidate 4+ years retail leadership experience required Experience leading a team of 10-20+ store employees with a demonstrated commitment to a team culture of kindness, respect and organization. Experience and ability prioritizing time and attention when there are multiple competing tasks to complete. Flexibility in regards to availability and location, must have weekend availability. Experience in creating/managing staff schedules. Experience analyzing business reporting. Experience with google office suite (Docs, sheets, pages) A natural passion for customer service and a desire to be active on the sales floor interacting with customers. More than 50% of a Store Manager’s time is spent on the sales floor. Jewelry and/or Clienteling experience a plus Retail positions involve physical requirements that include standing for extended periods, light lifting, reaching, and repetitive wrist and hand movements during tasks like welding permanent jewelry, etc. We’re happy to discuss reasonable accommodations to support individual needs. plus monthly bonus incentive

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a a Manager of Early Elementary Literacy with a Master's Degree and at least 3 years of experience with a proven record of leading exceptional academic outcomes in early elementary reading, and demonstrated leadership at the school or network level. Responsibilities: • Literacy Vision and Strategy: Design a rigorous and engaging early elementary literacy experience for our students based on inquiry, strong understanding of complex texts, development of foundational literacy skills, and learning how to collaborate and communicate powerful ideas, • Achieve Annual Academic Goals: Lead early elementary literacy with a high bar of excellence to meet rigorous annual goals assessments including comprehension and foundational reading, • Collaboration and Problem Solving: Develop authentic and meaningful relationships across Zeta to collaborate effectively to support growth in service of student learning. View every challenge as an opportunity for root cause analysis and change, • Science of Reading Knowledge and Experience: Demonstrated track record of expertise in the Science of Reading and supporting all students to become excellent readers and writers, • Curriculum and Assessment Management: Create and curate literacy curriculum across curriculum and assessment materials aligned with the New York State Learning Standards and our Zeta Learning Competencies, including unit plans, lesson plans, and assessments. Ensure a coherent sequence of learning through unit and lesson plans grounded in critical thinking, • Professional Learning: Design and lead early elementary literacy professional learning trainings for school principals, assistant principals, and teachers to lead to excellent academic results, • Instructional Management: Develop clear instructional management plans to ensure all early elementary literacy instruction is consistently implemented at a high level. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead to exceptional academic outcomes, • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes, • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration, • Wear multiple hats as a part of a lean scale-up team, supporting the work of others on the team and taking on new projects and tasks as neededJoin our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for immediate openings and onboarding on a rolling basis. The salary range for this position is between $75,000 and $90,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant educational leadership experience and internal equity. This position is eligible to receive an annual discretionary, merit-based performance bonus. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Transform Health, Extend Life - Work with us to help revolutionize preventive healthcare through data-driven longevity science. This Jobot Job is hosted by: Chris Gorman Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $200,000 per year A bit about us: We are a leading, science-backed healthcare company redefining longevity through personalized care. By leveraging AI and cutting-edge therapeutics, we help individuals extend their lifespan and optimize their health. Due to growth, we are looking to add a Senior Software Engineer to our Remote Team! Why join us? What We Offer: Competitive base pay and overall compensation package Full benefits: Medical, Dental, Vision Generous PTO, vacation, sick, and holidays Life Insurance coverage 401K Job Details Responsibilities: 1. Solution Implementation: Contribute across the entire software stack as needed to maintain and deliver engaging AI-powered user experiences built on web and mobile platforms. 2. Data Engineering Support: Work collaboratively to support the business by creating seamless integrations between the Fountain Life Platform and diverse data vendors, ensuring data consistency, reliability, and security. 3. Code Quality and Best Practices: Provide and receive actionable feedback on pull requests to maintain high-quality, consistent code within the team. Implement automation to ensure a high level of system reliability. Learn and apply software development and project management best practices. 4. Innovative Problem Solving: Actively participate in identifying and solving technical challenges with new technologies and innovative solutions to level up the team. 5. Review, test, and debug team members’ code to ensure optimal functionality. 6. Utilize AI and machine learning technologies to create innovative solutions. 7. Collaborate with internal teams and vendors to fix and improve products. 8. Ensure software is up-to-date with the latest technologies and development trends. Qualifications: Senior-level software engineering experience Experience building and deploying applications on AWS Proficient in TypeScript and Python/Node.js Exposure to AI/LLM-based application development Strong grasp of software development best practices and lifecycle Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Title: Senior Full Stack AI Engineer Remote Role Overview Build and scale AI-driven workflow and automation systems from the ground up Architect backend services and integrate machine learning capabilities into production Translate ambiguous product goals into scalable technical solutions Operate as a hands-on engineer while influencing technical direction Provide guidance and oversight to a distributed engineering team Required 7+ years of backend development experience with a modern server-side stack Strong proficiency in at least one additional language used in data or AI systems Experience deploying LLMs or machine learning models into production environments Familiarity with AI-driven workflows, agent-based systems, or automation pipelines Experience working within cloud infrastructure environments Comfortable operating in fast-paced, early-stage settings with minimal structure Demonstrated ownership mindset and proactive problem-solving ability Experience leading or managing 5+ engineers Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual’s skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Solved 500 Leetcode Problems and still no Job Offers!!! Get Job Offers with a Process which works! You’ve done a ton of Leetcode. You’ve racked up certificates, done LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you’re everything a tech company wants. However tech stacks and requirements change every day. Companies are looking for Employees who can contribute on Projects from Day 1. So what is needed is the right tech stack and the right project work. Companies have options and as a Jobseeker you can have options also if you have the right tech stack and Project work Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. All visa types and U.S. citizens are encouraged to apply. Check the links below: please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom. Please check the below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact: https://www.synergisticit.com/contact-us/ The Market’s Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‑Focused Path Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume

THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING Position: Java J2EE - Advanced (only W2) Location: Brooklyn, New York Duration: Contract Job ID: 173433 Job Overview: As a Lead Software Engineer within Security Services, you will play a pivotal role in an agile team, enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for developing innovative software solutions, driving technical excellence, and ensuring alignment with business goals. This role offers an opportunity to push the boundaries of technology and contribute to critical solutions across multiple technical areas. Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or resolve technical problems. Develop secure, high-quality production code and review/debug code written by others. Set up and manage Proofs of Concept (POCs) to evaluate new technologies and methodologies. Drive adoption of best practices in software development and AI integration, ensuring high standards of quality, security, and efficiency. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability. Lead technical designs and collaborate with geographically distributed analysts and developers. Work with stakeholders to gather requirements and ensure solutions meet business needs. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Qualifications: Formal training or certification in software engineering concepts with 5+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Proficient in coding in one or more object-oriented languages, including Java 17+ with Spring Boot. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience building enterprise applications with high availability and performance using Java, Spring, Kafka, EKS, and Distributed Cache. Strong hands-on experience designing and building solutions on AWS, including services such as EC2, S3, Lambda, ELB, ECS, and EKS. Preferred Qualifications: Keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning. Hands-on experience with Microservices, Data usage patterns, and Event-Driven Architecture (EDA). Knowledge of cloud architecture and ability to capture and share best-practice knowledge across teams. Ability to back decisions with research and articulate several options with pros and cons. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70- $80 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-HM1

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‐Focused Path Graduating with a CS degree is impressive — but it's not enough anymore. Employers want hands‐on experience, real projects, and interview‐ready candidates. Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you're ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‐world scenarios. If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications. Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume

Responsibilities The Technology department at our client is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm's business activities. As artificial intelligence becomes deeply embedded in both internal operations and the broader vendor ecosystem, the firm faces a new and rapidly evolving risk surface. The AI Security & Risk Manager will be our client's dedicated subject matter expert at the intersection of AI and security, helping the firm navigate this landscape with rigor and clarity. We are seeking a high-performing AI Security & Risk professional to join the Cybersecurity team. Reporting to the Head of Technology Risk, this individual will own the firm's approach to identifying, assessing, and managing risk introduced by AI — both through internal AI deployments and through vendors increasingly embedding AI into their platforms. The role requires a practitioner who can operate at both a strategic and technical level: fluent in AI architecture and threat modeling while equally capable of communicating risk clearly to senior leadership and regulators. The candidate must build strong relationships across Technology, Legal, Compliance, and the business to ensure AI risk is managed as an enterprise priority, not a silo. Additional responsibilities include: • AI Risk Governance & StrategyOwn and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance., • Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards., • Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles., • Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps., • Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls., • Vendor AI Evaluation & Third-Party RiskLead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability., • Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations., • Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms., • Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership., • Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps., • AI Threat Modeling & Security ArchitectureConduct threat modeling for AI systems and integrations, including risks from prompt injection, model inversion, training data poisoning, and adversarial inputs., • Evaluate AI-specific attack surfaces introduced by LLM integrations, agentic workflows, and MCP-connected data sources., • Collaborate with infrastructure and application teams to embed AI security controls into deployment pipelines and system design reviews., • Assess risks associated with AI-generated content, including deepfake vectors, synthetic phishing, and automated social engineering in the context of financial services., • Contribute to the firm's broader security architecture by ensuring AI components are assessed within the existing control framework., • Internal AI Program OversightServe as the security and risk point of contact for the firm's internal AI deployments, including Claude Enterprise and any future platform integrations., • Evaluate data retention, access control, and logging practices for AI platforms to ensure alignment with the firm's compliance and eDiscovery obligations., • Provide risk assessments for proposed AI use cases across the firm, including a structured framework for approving, conditionally approving, or declining adoption., • Support audit and compliance reviews related to AI, including evidence collection and engagement with regulators or external assessors as required., • Develop and deliver AI security awareness content for technology staff and end users. Qualifications • Our client seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following: Bachelor's degree in Computer Science, Information Security, Data Science, or a related field; advanced degree a plus., • At least 7–10 years of experience in information security, technology risk, or a related field, with a minimum of 3 years focused on AI systems, machine learning security, or AI governance., • Deep understanding of the AI and LLM landscape, including foundation model architecture, agentic systems, RAG pipelines, and the risk implications of each., • Hands-on experience evaluating AI platforms and products, including the ability to assess vendor claims about model behavior, data handling, and security controls with appropriate skepticism., • Familiarity with AI risk frameworks and emerging standards, including NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO/IEC 42001., • Experience with vendor risk management in a regulated financial services environment, including contract negotiation support and third-party security assessments., • Knowledge of relevant regulatory frameworks including DORA, SOX, SEC cybersecurity disclosure rules, and GDPR/CCPA as they apply to AI data flows., • Strong technical skills sufficient to evaluate AI system architecture, API security, data pipeline design, and access control models without reliance solely on vendor documentation., • Excellent communication skills, with the ability to translate highly technical AI risk concepts into clear, decision-ready language for senior leadership, Legal, and Compliance., • Experience operating in a Microsoft-first environment, including familiarity with Entra ID, Azure, and M365 security tooling, is a strong plus., • Ability to work independently, manage competing priorities, and operate effectively in a fast-paced, lean team environment, • Relevant certifications such as CISSP, CISM, CRISC, or emerging AI-focused credentials a plus

About Us: At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio. You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before. Key Responsibilities Fraud Risk Strategy & Analytics • Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks, • Build and optimize fraud rules, signals, and decisioning logic, • Partner with Data Science to develop or enhance fraud models, • Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy, • Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities Credit Risk Strategy & Analytics • Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring, • Develop and refine credit risk segmentation, cutoffs, and exposure strategies, • Partner with Data Science online assignment models and credit risk models, • Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends, • Continuously optimize credit policies to balance growth and risk Card Program Buildout & Scaling • Contribute to building the fraud and credit risk foundation for a new credit card program, • Support scaling of the portfolio through iterative strategy, analytics, and model improvements, • Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms Cross‑Functional Collaboration • Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs, • Translate risk strategy into technical requirements for implementation, • Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful Qualifications • 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling, • Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks, • Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring, • Strong analytics background; proficiency in SQL required, Python preferred, • Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers), • Experience building or scaling risk strategies for a credit card program, • Ability to work cross functionally with product, engineering, data science, and vendors, • Familiarity with compliance requirements for credit cards; ability to partner with compliance teams Who Thrives in This Role • Someone who has built or scaled a credit card risk engine, • A fraud + credit strategist who is equally comfortable with rules, analytics, and models, • A hands-on operator who can design strategy and also dig into SQL, • Someone who enjoys cross-functional execution and long-term program building, • A risk expert who wants to shape the foundation of a new card product

Business Overview: BNP Paribas Global Markets brings together the full spectrum of market‑based products—fixed‑income, currencies, equities, commodities, and structured solutions—under one collaborative umbrella. By integrating sales, trading, research, and quantitative analytics. The business delivers seamless, end‑to‑end service to a diversified client base that includes corporates, asset managers, sovereigns, and fintech partners. Global Markets is a growing business, penetrating the US market. Clients receive points of contact for all asset classes, allowing them to execute complex, multi‑asset strategies quickly and efficiently. GMA provides the depth and resilience needed to meet large‑scale financing, hedging, and investment demands. GMA business accelerates the development of electronic platforms, AI‑driven pricing models, and ESG‑focused product suites. Candidate Success Factors: Candidates are measured on the following four performance drivers, which will dictate how individual impact is considered on the Americas platform: • Results and Impact, • Able to influence peers and team., • Demonstrates good judgement when making decisions of high complexity and impact., • Exercise appropriate autonomy in the execution and delivery of work., • Responsible for driving outcomes, which have meaningful effect on team or department., • Leadership and Collaboration:, • Creates trust with colleagues., • Acts in leadership capacity for projects, processes, or programs., • Client, Customer and Stakeholder Focus:, • Able to build relationships with a mix of colleagues and clients., • Interacts regularly with management and department leaders., • Demonstrates the ability to influence stakeholders at the team level., • Compliance Culture and Conduct:, • Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts., • Perceived as a person of high moral character; upholds corporate values and displays high ethical standards. Responsibilities: Strategic Partnering • Provide consultative HR support to Executive Management and team leads in Fixed Income, Currencies, and Commodities., • Align people initiatives with business objectives, market trends, and the bank’s global talent strategy. Talent Management • Partner with recruiting, talent acquisition, and hiring managers to attract, assess, and onboard employees., • Develop succession plans and career‑pathing for high‑potential employees in the division., • Partner with business leaders to deliver People Review plans. on a yearly basis, in line with Group guidelines. Performance & Development • Drive the performance‑review cycle, ensuring timely and constructive feedback., • Identify skill gaps specific to FICC and coordinate targeted learning programs (e.g., market‑risk, product‑knowledge, regulatory). Employee Relations & Engagement • In partnership with the Employee Relations team, manage employee‑relations cases with a focus on compliance, • Champion engagement initiatives that reflect the fast‑paced, client‑centric culture of Global Markets. Compensation & Benefits • Advise on market‑competitive compensation structures for FICC roles, including bonus eligibility, incentive plans, and non‑cash benefits. Compliance & Risk • Ensure HR practices adhere to U.S. banking regulations, global market conduct rules, and internal policies, • Serve as a liaison with compliance, legal, and risk teams on HR‑related matters. AI, Data & Analytics • Support the embedding of responsible‑AI principles into HR processes (e.g., talent‑acquisition algorithms, performance‑analytics tools, learning‑platform personalization)., • Leverage HR metrics to provide actionable insights for the FICC leadership team. Change Management • Support transformation projects (e.g., restructuring,) with focused communication and stakeholder management. Minimum Required Qualifications: • Bachelor’s degree in Human Resources, Business Administration, Finance, or a related field., • 10+ years of progressive HR Business Partner experience within 3+ years of recent Global Markets HR BP experience at a bank that has a significant US footprint. Exposure to Fixed Income, Currencies, and Commodities client‑facing environments is strongly preferred., • Deep understanding of Global Markets and FICC products, market structure and the ability to translate that knowledge into people solutions., • Knowledge of US banking regulatory frameworks, US employment law, HR best practices, • Proficiency with HRIS and analytics tools, • The ability to leverage artificial‑intelligence and machine‑learning tools to collect, analyze, and interpret workforce data so that HR decisions are data‑driven, predictive, and continuously improved., • Business acumen: Ability to translate market dynamics into HR solutions., • Influencing & Executive Stakeholder management: Comfortable interacting with Executive leaders., • Problem‑solving: Proactive in identifying people‑related risks and delivering pragmatic solutions., • Risk mindset: Demonstrates a proactive, analytical, and disciplined approach to identifying, assessing, and mitigating risks that could affect the business, its people or reputation, • Matrix environment: Understand, navigate, and optimize the inter‑dependencies created by a large, global matrixed, financial services, organization., • Proven track record in building strong relationships with Executive leaders regionally and globally., • Purposeful communication and disciplined governance to align divergent priorities, • Ability to navigate high‑pressure, results‑driven environments, • Understanding of U.S. banking and securities regulations affecting HR Preferred Qualifications: • Proven track record of supporting high‑growth, client‑centric teams in the FICC space., • Ability to balance speed‑to‑market with rigorous risk and compliance controls., • Passion for talent development in a fast‑moving trading environment., • Proven track record of collaboration with HR Business Partner teams and COE partners regionally and globally (ie Talent Acquisition, Reward, L&D). FINRA Registrations Required: • Not Applicable CFTC Swap Dealer Associated Person (if yes, NFA Swaps Proficiency Program is required): • Not Applicable SEC Security-Based Swap Dealer Associated Person: • Not Applicable While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted. The expected starting salary range for this position is between $165,000 to $200,000 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location. In addition, our comprehensive benefits package aims to support our employees in various aspects of their lives. From healthcare and wellness programs to retirement plans and childcare services, we prioritize the well-being and growth of our employees. Our benefits include medical, dental and vision coverage, a 401(k) Savings Plan, backup childcare, life, accident and disability insurance, mental health support and paid time off. Additional details about our benefits offerings, inclusive of eligibility for a discretionary bonus, will be provided during the hiring process. BNP Paribas. The Bank for a Changing World - https://usa.bnpparibas/en/homepage/join-us/our-opportunities/ BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status. Protect yourself from fraudulent job postings. Emails about jobs at BNP Paribas will always come from addresses ending @bnpparibas.com @us.bnpparibas.com, @ca.bnpparibas.com, or @br.bnpparibas.com. You should be suspicious of emails regarding employment with BNP Paribas coming from any other domains and should not respond. BNP Paribas will never send payments to or request payments from candidates for positions posted by BNP Paribas.

Job title: • Quantitative Researcher (Systematic Equities). Salary: • Up to £350,000 starting base + industry-leading guaranteed bonus and package., • TC of up to £1M+ GBP in annual compensation. Location: • Chicago/New York/London., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

Job Title: Senior UX Researcher (Mixed Methods) Location: New York, NY (Hybrid – Tuesday through Thursday onsite, Monday and Friday remote) Duration: 7+ Month Contract About the Role We are seeking a highly experienced Senior UX Researcher to lead strategic research initiatives for innovative, AI-powered consumer products. This role requires a seasoned mixed-methods researcher who can independently drive complex research programs, influence product strategy, and deliver actionable insights that shape user experiences and business outcomes. The ideal candidate has extensive experience conducting both qualitative and quantitative research, partnering closely with Product, Design, Data Science, and Engineering teams to create user-centered solutions. Experience researching AI-driven products and desktop/web user experiences is highly preferred. Key Responsibilities • Lead end-to-end UX research programs for complex product initiatives with minimal oversight., • Design and execute mixed-methods research studies, including interviews, usability testing, surveys, diary studies, and quantitative analysis., • Generate actionable insights that influence product strategy, roadmap planning, and user experience design decisions., • Synthesize research findings into clear recommendations for cross-functional stakeholders and leadership teams., • Collaborate with Product Managers, Designers, Engineers, and Data Scientists to identify opportunities and solve user problems., • Develop research frameworks, measurement strategies, and success metrics to evaluate product impact., • Advocate for user-centered and inclusive design practices across product teams., • Identify emerging user needs, market trends, and business opportunities through proactive research initiatives., • Present research findings and strategic recommendations to stakeholders at multiple organizational levels., • Drive alignment and consensus among cross-functional teams through evidence-based decision-making. Required Qualifications • 5–7+ years of UX Research experience in consumer-facing digital products., • Strong expertise in both qualitative and quantitative research methodologies., • Proven experience leading large-scale, complex research programs from planning through execution and synthesis., • Demonstrated ability to influence product strategy through research-driven insights., • Experience partnering with Product, Design, Engineering, and Analytics teams., • Excellent communication, storytelling, stakeholder management, and presentation skills., • Experience working independently in fast-paced, highly collaborative environments. Preferred Qualifications • Experience researching AI-powered, machine learning, or generative AI products., • Experience supporting search, discovery, recommendation, or intelligent assistant experiences., • Experience conducting research for desktop and web-based user experiences., • Background working within large-scale technology product organizations., • Familiarity with strategic research, behavioral analytics, and product ecosystem research.

Role - Senior Solution Architect (Data & AI Solution Specialist) Location - NJ/NYC / Dallas/Charlotte/Atlanta/Raleigh Job type – Fulltime Must Have Technical/Functional Skills A senior Solution architecture specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution. Must Have skills : • 15+ years of experience in data architecture, data engineering, and analytics platforms, • Experience across AWS, GCP, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services with depth expectations as below: o Deep experience on one more of AWS, GCP, Azure o Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt o Experience in open-source technologies based Enterprise Data architecture • Strong consulting experience in large BFSI transformation programs, • Hands on experience with preparation for Data Analytics Solution architecture, client presentations and Proof of concepts development, • Design and implement AI and Gen AI solution for data value chain, • Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation, • Strong background in data integration, reporting, and big data ecosystems, • Experience working in regulated environments with data governance and compliance requirements, • Excellent stakeholder communication and leadership skills Roles & Responsibilities • Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches., • Solution Architecture & Design: Develop end-to-end cloud-native data & AI architectures – spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards. o End-to-End System Design: Mapping out the precise technical lifecycle of data, including pipeline orchestration, data warehousing, and API integrations o Technology Selection: Vetting and selecting the optimal tech stack, such as specific cloud services (e.g., AWS, Azure, GCP), data warehouses (e.g., Snowflake, BigQuery), or streaming engines (e.g., Kafka) o Data Modeling: Designing detailed conceptual, logical, and physical data models (like Data Vaults or Star Schemas) to ensure optimal query performance and data integrity. • Security & Governance: Baking strict data privacy, compliance (e.g., GDPR, HIPAA), and access control frameworks directly into the architecture., • Consulting Leadership: Own the technical solution in Consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates. Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities., • Demonstrations & Proof of Concept (PoC): Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence., • Collaboration & Handover: Work closely with internal teams – sales, delivery managers, domain consultants, and cloud partners – to ensure proposed solutions are deliverable and aligned with available capabilities. Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations. Provide early-stage support to resolve any design challenges., • Thought Leadership & Best Practices: Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides., • Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients., • Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms., • Design and implement AI and Gen AI solution for data value chain, • Design data integration pipelines (batch, real-time, big data) and analytics platforms, • Enable enterprise reporting and BI solutions for regulatory and business needs, • Define and implement data governance, quality, metadata, and lineage frameworks, • Act as a trusted advisor to senior business and IT stakeholders, • Participate in Data Analytics Architecture and Delivery reviews and provide recommendations, • Mentor junior solution architects and stay up to date with emerging cloud data technologies (e.g. Data Lakehouse, DataOps / MLOps, generative AI) to continuously enhance proposal quality., • Mentor teams and contribute to solutioning and pre-sales activities

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Overview of the role: As the Senior Publisher Development Manager, you will be responsible for identifying, closing, and maintaining relationships with key publishers and developers across North America. You will build a network of relationships in the region to structure and close high-impact partnerships that contribute advertising inventory to our network. You will work collaboratively with the Supply and Demand teams to ensure that your North America portfolio scales and achieves its revenue potential. The position entails a high level of competency in sales, a deep knowledge of digital advertising, and an appreciation of account management, digital ad products, and yield management. In this role, you will also be directly responsible for driving the growth of our omnichannel business across in-app, web, and connected TV (CTV) environments. You will expand our supply footprint and develop strategies that optimize performance, yield, and monetization across all channels. This role is onsite in our New York City office. Some travel within the U.S. is required to engage with clients and retail partners. The impact you'll make: You are a dynamic and entrepreneurial leader who thrives on building meaningful partnerships and driving mutual success. Passionate about the digital advertising ecosystem, you combine strategic vision with a hands-on approach to business development. You’re motivated by creating long-term, trusted relationships with publishers and delivering solutions that drive measurable value and growth for their businesses. You lead with influence, collaboration, and a relentless focus on achieving win-win outcomes that support both our partners’ success and InMobi’s market leadership. In this role, you will: • Identify, negotiate, and close high-impact partnerships with key publishers and developers across North America, expanding our omnichannel footprint across in-app, web, and CTV., • Own the full sales cycle — from sourcing and pitching to negotiating and signing new publisher deals., • Monitor the evolving ad tech landscape and actively track emerging industry trends to anticipate shifts, spot opportunities early, and ensure our strategy remains ahead of the curve., • Own and develop your sales pipeline end-to-end, including prospecting, qualification, deal closure, and ongoing account expansion., • Collaborate with internal teams (Product, Operations, Marketing, Customer Success, Sales, etc.) to ensure smooth integrations and sustained partner success., • Collate and interpret partner feedback to support ongoing product improvements and enhancements., • Represent InMobi at industry events, effectively pitching and elevating the InMobi value proposition., • Work closely with the Sales team to ensure inventory is aligned with specific advertiser requirements. The experience we need: • 5+ years of Business Development experience within the ad tech ecosystem, working directly with mainstream web, in-app, and CTV publishers, with demonstrated impact in publisher acquisition and partnership growth., • A strong understanding of the digital advertising landscape, including marketplace dynamics, publisher monetization models, supply-side platforms, and how publishers evaluate and adopt technology partners., • A curious, adaptable mindset, with the ability to quickly absorb new information, adjust to shifting priorities, and stay ahead of evolving technologies and market trends., • A collaborative working style, bringing a cross-functional mindset when partnering with Product, Operations, Marketing, Customer Success, and Sales, while maintaining a consultative, relationship-driven approach externally., • Excellent written and verbal communication skills, with the ability to articulate complex value propositions, build trust, and influence stakeholders at multiple levels., • A demonstrated track record of determination, ownership, and follow-through, with the drive to navigate longer sales cycles and consistently move opportunities toward successful outcomes., • An existing network of publishers, developers, and technology partners within the ad tech ecosystem (highly advantageous), along with the ability to nurture, expand, and leverage those relationships effectively. At InMobi, you’ll be surrounded by people who… • Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility, • Believe in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks Award-winning culture, best-in-class benefits Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $131,950 – $182,700 USD (min to max of base salary pay). This salary range is applicable to our offices located in California and New York*. In addition, an InMobian may also receive variable pay in the form of an annual variable bonus or quarterly variable bonus/sales incentive, as deemed per policy, in addition to fixed compensation. *Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our U.S. benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch is provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • Employee Assistance Program (EAP) If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it! InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment 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.

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role As a Software Engineer in Socure you will play a key role in building and enhancing the core server-side components that power large-scale identity verification. You’ll develop critical microservices and APIs responsible for document capture, processing, and verification—integrating with advanced machine learning models to ensure ID authenticity and detect fraud. Your contributions will enable millions of users to verify their identities quickly and securely, strengthening Socure’s reputation for trust, speed, and security. What You’ll Do: • Develop and maintain scalable backend services: Design, build, and support robust, scalable, and secure backend services and APIs for identity document processing and verification. Ensure systems are reliable and performant at high scale., • Cross-functional collaboration: Partner closely with Product, Data Science/Machine Learning, and Infrastructure teams to deliver new document verification features. Translate product requirements and ML model outputs into efficient backend solutions within an agile environment., • Improve code quality and practices: Champion best practices in coding, code review, testing coverage, performance optimizations, security, and CI/CD for DocV backend systems, driving enhancements in reliability and maintainability., • Own backend architecture: Take ownership of backend architectural decisions, championing best practices in API design, microservice architecture, and secure data handling. Design systems for scalability, resiliency, and seamless integration with other Socure services., • Optimize performance and reliability: Analyze production metrics and real-world usage data to continuously refine system performance, scalability, and reliability. Identify bottlenecks and proactively lead initiatives to optimize response times and uptime., • Integrate ML/CV capabilities: Collaborate with data scientists to integrate machine learning and computer vision components into the DocV backend pipeline. Ensure the successful deployment and utilization of document verification models and decision logic., • Collaborate with frontend/mobile teams: Work closely with frontend and mobile engineers to define clear API contracts, deliver a seamless end-to-end user experience, and support effective use of backend services. Assist with integration troubleshooting as needed. What You Bring: • Experience: 3+ years of experience building and shipping modern backend services or distributed systems at scale, with a proven track record of delivering backend software in fast-paced environments., • Programming skills: Strong proficiency with backend programming languages (especially Golang) and frameworks for building APIs and microservices. Hands-on experience developing gRPC and RESTful APIs and implementing server-side business logic., • Scalable systems expertise: Proven experience designing and developing scalable, high-availability microservices and APIs in cloud environments, with an understanding of fault tolerance and low latency requirements., • Performance & security: Solid understanding of backend performance optimization and security best practices, especially when handling sensitive data (PII). Skilled in profiling services, optimizing queries, and securing data in transit and at rest., • Team collaboration: Track record of collaborating effectively with cross-functional teams, including frontend engineers, data scientists, and product stakeholders. Excellent communication skills to articulate technical concepts and requirements across disciplines. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Head of Intelligence Location: New York City (On-Site, 5 days) Compensation: $160K–$190K base + meaningful early-stage equity + full benefits. (Flexible for an exceptional candidate). Reports To: CEO, CTO & COO About Us We are a venture-backed intelligence platform helping insurers identify and prevent property and casualty fraud at scale. Our software combines open-source intelligence, network analysis, and machine learning to surface two things our customers cannot easily find on their own: individual claimants whose hidden online activity contradicts their reported claims, and the connected fraud rings behind organized claims schemes. Those rings look structurally similar to criminal or terrorist networks: interconnected nodes, leadership, accomplices, and repeat patterns. We have product-market fit. We have happy enterprise customers. We are heading into a Series A. The work is real and the upside is in front of us. The Role We are hiring our first Head of Intelligence to build, own, and represent the investigative function that sits at the core of our product. You will start as an army of one. You will personally do the investigative work today: locating individuals behind aliases, surfacing hidden social media activity, mapping the conspirator networks behind organized claims schemes, and producing the intelligence outputs our enterprise customers rely on. You will partner with our engineering and data science teams to turn that work into systems that scale. Over the next 12 to 18 months, the role grows. You will hire and lead a team of analysts, own the budget, and become the named face of our intelligence capability to enterprise clients. When the head of special investigations at a multi-billion-dollar carrier wants to understand how we illuminate fraud rings, you are the person they meet. When investors want to know who is behind the platform, you are the answer. This is a builder seat. There is no existing playbook. The right person is energized by that. What You Will Own • High-Stakes Investigations: Personally identifying individuals, aliases, and hidden post-claim activity; mapping the fraud networks behind organized claims rings., • Team Building: Hiring and building the intelligence team and managing the budget that supports it., • Product Partnership: Working with engineering and data science teams to translate investigative tradecraft into structured data signals, workflows, and product features., • Tool Procurement: Identifying and onboarding off-the-shelf intelligence, analytic, and OSINT tools where they accelerate the work., • Operational Excellence: Establishing the SOPs, quality standards, and documentation practices that let the function scale without losing rigor., • Customer Facing & Evangelism: Representing our intelligence capability to enterprise customers post-contract—explaining methodology, demonstrating value, and serving as the technical credibility behind the relationship., • Investor Relations: Showing up in Series A investor conversations as the intelligence leader behind the platform. What We Are Looking For • Deep Intelligence Background: Military, federal, or distinguished private-sector intelligence experience. You have personally targeted human beings and the networks around them. You think in relationships and structures, not just individual records., • A Signal of Supreme Success: Top-tier academic background, distinguished military service in selective units/roles, or demonstrated excellence at a high-bar employer. When you describe what you have done, the room leans in., • Bias for Action: You build before there is a playbook. Give you intent and a deadline and you go., • Hands-on Today, Leader Tomorrow: You are not done doing the work. Years of experience matter less than whether you are still the person rolling up your sleeves., • Customer Fluency: You can stand in front of an enterprise client and explain in detail how an investigation was run, why it matters, and what we caught., • Technically Conversational: You do not need to write code, but you do need to sit with an engineer and articulate what an investigative workflow actually requires., • On-Site Presence: Five days a week on-site in NYC. Being in the room with the executive team and engineering is non-negotiable. Strongly Preferred • Military intelligence officer or NCO background focused on targeting individuals or human networks (SOF intel, MARSOC, Ranger intel, JSOC, MI officer at a selective unit, federal HUMINT-equivalent)., • Federal intelligence or law enforcement experience at the working officer level (FBI, CIA, DIA, NSA, NCTC, financial-crimes squads)., • Current/recent experience at a high-pedigree defense, intelligence, or tech employer where you are no longer building the kind of new thing you want to build next., • Experience presenting intelligence to senior external audiences (federal partners, enterprise customers, executive leadership, investors)., • Familiarity with commercial OSINT, intelligence, or analytic platforms (Palantir, Maltego, Babel Street, Recorded Future, Skopenow, ShadowDragon, etc.). Welcome but trainable., • Spanish, Portuguese, or other relevant language capability. Why You Should Want This • Direct ownership of a core function at a venture-backed company with product-market fit and a clear path to Series A., • A real seat at the table with the CEO, CTO, and COO from day one., • A chance to define how investigative work scales through technology in a category that is wide open., • The kind of role that compounds: build the function today, lead the team tomorrow, become the named intelligence pedigree behind a category-defining platform., • Meaningful early-stage equity in a company where the upside is in front of it., • $160K to $190K base + equity + benefits. What This Role Is Not • Not a pure execution-only OSINT seat. The work is real, but the trajectory is leadership., • Not a place for someone who needs a playbook handed to them., • Not a strategy-from-a-distance or chief-of-staff-style seat., • Not a sales role, but customer-facing fluency is required., • Not for someone who has stopped touching investigative work.

Overview We are seeking a driven, inventive, and thoughtful actuarial candidate to guide the adoption of complex models across multiple lines of business. This role will be a part of our Actuarial Predictive Modeling team, which is responsible for ensuring that pricing models are built with actuarial principles in mind. The role involves collaborating with underwriting management, data scientists, and other actuarial teams to build pricing models and evaluate model usage initiatives. More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage. This is a supervisory position overseeing one or more members of the Actuarial Predictive Modeling team, with a strong emphasis on people management and team leadership. The candidate will be expected to have a high level of proficiency and knowledge in both actuarial and modeling areas, as well as a genuine interest in developing others. The candidate will guide staff members in both everyday project work and long-term professional development. Effective communication with both technical and non-technical audiences is crucial, as is the ability to understand business priorities, translate them into technical requirements, and manage resources efficiently. The ideal candidate will be able to think quickly on their feet in response to management queries. Additionally, the candidate will own actuarial documentation, play an active role in model filings, and help drive continuous improvements in team workflows. Responsibilities • Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes, • Ensure appropriate data adjustments and assumptions are applied during model development, • Challenge the model and communicate their strengths and weaknesses to stakeholders, • Validate models for their intended purpose and establish usage guardrails, • Drive decisions and alignment around model rollout, monitoring, and addressing potential misuse, • Provide timely support for model filings as needed, • Maintain positive collaboration with business and stakeholders, promptly resolve inquiries and requests, and communicate effectively to ensure transparency and common understanding of goals and prioritization, • Provide input on cross-departmental steering committees for strategic projects, • Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies impacting pricing models, • Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management, • As a supervisor, work closely with junior staff to oversee the development of professional skills, elevate technical and actuarial knowledge, and guide projects to successful and timely completion, • Develop and enhance team processes to be effective, repeatable, and scalable, • Serve as an actuarial modeling expert by providing technical model support and relevant training to other actuaries and underwriters within the organization Qualifications • Bachelor's degree in Actuarial Science, Mathematics, or a related field, • 5+ years of actuarial pricing experience, ideally in small commercial insurance, • ACAS or FCAS designation and in good standing with the Casualty Actuarial Society, • Strong data exploration and manipulation skills, ideally in SQL, R, or Python, • Experience working with Git, • Solid understanding of statistical methods applied to insurance data, with the ability to identify and articulate data and modeling issues, • Experience with predictive models for Pricing including understanding of assumptions, interpretation of results, and standard model evaluation techniques, • Experience with modern machine learning technologies such as GBM, • Experience managing, supervising, or mentoring team members, • Proven ability to build consensus and drive large-scale projects to conclusion, • Ability to build a sense of trust and rapport that creates an effective workplace, • Excellent problem-solving skills and attention to detail, • Demonstrated ability to experiment with and learn new technologies The expected salary range for this role is $125K-$165K/year. Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Are you passionate about video encoding technologies and building tools that drive operational excellence? As a Principal Media Streaming Engineer at Disney, you will be part of the Media Delivery team, which is responsible for the entire video encoding supply chain from content acquisition to delivery, consisting of an agile and responsive team of engineers that design, build, and support the systems and workflows powering our on-demand video streaming products. The department's responsibilities provide round-the-clock support for these products, ensuring proper functionality across all platforms and front-end playback scenarios. The Media Delivery team partners with development teams on design and implementation of key functionality for video encoding systems, builds comprehensive tooling and reporting solutions, and ensures that overall encoding capacity meets the needs of all partners while optimizing resources to the fullest. You would join a diverse and networked team that collaborates on initiatives that drive streaming video technology to the next level. What makes us different from other media streaming groups? We use innovation and technical experience to transform projects into experiences that can directly impact the happiness of our Subscribers. This is a lead technical position on the Media Delivery VOD team, responsible for designing, implementing, and enhancing the encoding and processing workflows for Disney's on-demand video products. It is an excellent opportunity for someone looking to advance their career in the VOD streaming space working in a dynamic, fast-paced, and sophisticated technical environment. You will be a lead contributor, and guiding the strategic vision, for the VOD encoding, processing, and tooling ecosystem. You will design and deploy innovative solutions that improve operational efficiency, provide actionable insights through metrics, and drive continuous improvement across our production environments. The ideal candidate would be an expert in VOD processing technologies with a passion for building automation and tooling. On any one day you might: Design and build automation tools for metrics reporting, dashboards, and operational insights. Develop automation solutions to augment and streamline operational workflows. Drive initiatives to enhance the VOD processing ecosystem's reliability and performance. Create scripts and applications that reduce manual intervention and improve efficiency. Build comprehensive monitoring and alerting systems for VOD processing pipelines. Partner with development teams on feature requests, troubleshooting, and system optimizations. Evaluate and integrate new encoding technologies and methodologies. Provide training to internal team members. Documentation of workflows and standard operating procedures. Provide external teams with guidance related to VOD encoding and processing workflows. Responsibilities : Drive initiatives to improve the reliability, scalability, and performance of VOD processing and the platform experience. Partner with development teams on feature requests, system optimizations, and architectural improvements. Lead proof-of-concept projects and technology evaluations to inform strategic decisions. Design and develop dashboards, reporting tools, and data visualization solutions that provide actionable insights into encoding throughput, error rates, and operational KPIs. Partner with stakeholders to define key metrics and translate business requirements into technical reporting solutions. Maintain and enhance existing reporting infrastructure to ensure accuracy and reliability. Develop automation solutions that augment and streamline day-to-day operational workflows, reducing manual intervention and improving efficiency. Implement monitoring, alerting, and auto-remediation systems for VOD processing infrastructure. Provide technical guidance and mentorship to team members. Collaborate with cross-functional teams including Product, Engineering, and Operations to align on priorities and deliverables. Document workflows, standard operating procedures, and technical specifications. Basic Qualifications: Minimum of 10 years of progressively complex related experienc e Bachelor's degree in Computer Science, Information Technology, Electrical Engineering, and/or equivalent work experience Experience designing and building VOD processing and encoding workflows. Experience working with on prem, and cloud based, transcoding and encoding solutions. Ability to work independently to solve problems in both the video and IT domains. Deep knowledge of video codecs and compression. (H.264/AVC, H.265/HEVC, AV1) Knowledge of audio codecs and containers. (AAC, PCM, AC-3, EAC-3, Dolby Atmos) Strong to advanced experience with command-line video tools like FFMPEG, MP4Box, and MediaInfo . Extensive knowledge of ABR/OTT technologies. (HLS, DASH, CMAF) Expert understanding of video fundamentals (resolution, frame rates, color spaces, HDR). Comfortable with Mac, Linux, and Windows environments, specifically on the command line. Strong communication skills. Advanced scripting experience. (Python, BASH, Ruby) Experience building automation tools, dashboards, and reporting systems. Experience with REST API communication, preferably programmatically (through a scripting language library). Experience writing technical documentation for consumption by both technical and non-technical people. Experience with data visualization and metrics platforms. (Grafana, Datadog, or similar) Experience with cloud platforms (AWS, GCP) and containerization. (Docker, Kubernetes) Comfortable acting as a technical lead Preferred Qualifications: Experience in programming with Backend and Frontend UI development and proficient with one or more general purpose programming languages (Python, Java, Javascript , etc . ) Familiarity with front-end technologies for building internal tools. (React, Vue, or similar) Knowledge of quality control (QC) systems and automated content verification. Experience with CI/CD pipelines for media workflow automation. Understanding of DAI workflows in an OTT environment. Experience with machine learning/AI. Knowledge of content protection and DRM systems. * Familiarity with database technologies (SQL, NoSQL) for metrics and reporting. #DISNEYTECH The hiring range for this position in New York, NY is $163,100 to $218,700, in Santa Monica, CA is $155,700 to $208,700, and in San Francisco, CA is $170,500 to $228,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Software Guidance & Assistance, Inc., (SGA), is searching for a Python/AI Engineer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ. Responsibilities : • This a development position for establishing and implementing new or revised applications and programs in the Technology team., • As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems., • Develop plans and coordinate with teams for all analytical efforts., • Manage deliverables in a agile environment and maintain clear communication with all model stakeholders., • Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc., • Data modelling and cleaning from internal and external sources., • Build predictive and prescriptive models by manipulating and cleaning results., • Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process., • Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability. Required Skills: • Bachelor's degree/University degree or equivalent experience in STEM, • PhD or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field., • 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems., • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration., • Strong background of ML/DL/LLM algorithms, model architectures, and training techniques., • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages., • Proficiency with tools and LLMs., • Ability to work independently and collaboratively within a team. Preferred Skills: • Experience in GenAI/LLMs projects., • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)., • Background in financial business-like banking, risk management., • Should be familiar with capital markets and financial instruments and modeling SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at _ . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company _ to request an accommodation or assistance regarding our policy

About Pret A Manger: Building the US Future of a Beloved Global Brand Pret US is at a defining moment. Backed by substantial investment and strategic commitment, we are not simply operating; we are transforming a beloved brand in the American market. With a newly established US Board and an entirely rebuilt senior leadership team, we are assembling exceptional talent to drive this ambitious vision forward. This is an opportunity to join a winning team built on an ownership mindset, rapid learning, bias for action, and competitive drive. Our ideal candidates are resilient, flexible, comfortable with ambiguity, and data-driven. We are seeking leaders who thrive in dynamic, high-stakes environments and are energized by the challenge of building something remarkable. As part of the Pret US team, you will work directly with seasoned leaders who understand turnarounds, scaling operations, and delivering results. If you are driven to exceed ambitious goals, make bold decisions, and build a brand that matters, this is where you belong. Join us in writing the next chapter of Pret in America. The Role As a General Manager at Pret, you are the hero of the shop. You oversee all aspects of shop operations from staffing and scheduling to inventory management, ensuring the business runs efficiently, profitably, and with heart. You are responsible for driving sales and profitability while creating a positive, inclusive, and high-energy environment where both guests and team members thrive. Our Managers are our in-shop Heroes. They protect the things that make Pret by keeping standards high, spirits high, and guests happy. When the shop gets busy, you lead from the front, whether that means rolling up your sleeves at the coffee machine (with training, of course) or diving into the P&L to improve margins. Key Responsibilities Own Full Shop Performance • Take full accountability for shop-level P&L performance, including sales growth, labor productivity, food cost, and waste control, • Drive strong transaction growth and operational efficiency, • Analyze performance trends and take decisive action to improve results, • Operate with urgency to close performance gaps and deliver against targets Build and Develop High-Performing Teams • Recruit, hire, and develop Assistant General Managers, Managers in Training, and hourly team members, • Create a culture of accountability, warmth, and high performance, • Conduct structured performance conversations and talent reviews, • Identify and develop future leaders to build a strong internal bench Deliver Exceptional Guest Experience • Model Pret’s standards of hospitality on the shop floor, • Create a consistently warm, fast, and personal guest experience, • Coach in real time to improve service behaviors and guest engagement, • Act quickly to resolve guest concerns and protect the brand Operational Excellence and Compliance • Ensure strict adherence to Pret’s recipes, food preparation standards, and product specifications, • Maintain high-quality, fresh food production throughout the day, minimizing waste while protecting availability, • Lead daily and weekly sales forecasting to accurately plan food production and labor, • Use historical data, sales trends, and upcoming promotions to optimize production levels, • Monitor waste and variance reporting, taking corrective action to improve forecasting accuracy, • Ensure full compliance with company policies, food safety, and health & safety regulations, • Maintain exceptional cleanliness and operational standards Qualifications Required Experience • 5+ years of management experience or equivalent leadership experience in restaurants, or hospitality environments, • Proven P&L ownership and financial accountability, • Experience developing and promoting internal talent, • Demonstrated ability to lead high-volume, fast-paced operations, • NYC Food Handlers Card, • Available to work in person +50 hours, • Led a team of greater than 20 employees, • Ability to stand and walk for extended periods; lift, carry, push, pull, or move objects up to 50 pounds; bend, reach overhead, squat, kneel, and go up and down stairs as needed; safely maneuver through tight or compact spaces; operate restaurant equipment and handle tools such as tongs, pots, and pans with dexterity; work in environments ranging from hot to cold, including near open flames and occasional outdoor conditions; maintain close, distance, and peripheral vision; communicate continuously with team members; and work in a constant state of alertness while maintaining safe operations Education • Bachelor's degree Preferred Benefits & Salary • Competitive Salary + 20% Bonus Potential, • Medical, dental, and vision insurance plans to suit you and your family's needs, • Paid Time Off, • Complimentary Pret, • 401K enrollment, • The pay range for this role is $70,000 - $85,000. Compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and the specific work location of New York, New York, United States. In addition, you will be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The Observability & Insights group ensures that Disney Streaming's distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Software Engineer II, you will design and build intelligent, AI driven systems that enhance the reliability and performance of Disney's large scale streaming ecosystem. You will develop agentic systems, machine learning models, and real-time pipelines that transform telemetry, logs, and user signals into automated detection, root cause analysis, and proactive insights. In this role, you will contribute to the development of autonomous agents capable of reasoning over complex system behavior, identifying issues in real time, and driving faster detection and resolution across Disney+, Hulu, and ESPN. You will partner closely with engineering, product, and platform teams to embed intelligence directly into operational workflows, improving system resilience and customer experience at scale. You will deliver high quality features end-to-end and contribute to system design and code reviews and begin owning components of production systems within a fast paced, AI native engineering environment. Responsibilities: Design and operate intelligent, production-grade systems that leverage real-time signals and AI-driven detection to improve the health of streaming platforms, critical services, and customer experience Build and scale AI-driven capabilities including agentic AI systems powered by modern foundation models (e.g. Claude Opus/Sonnet, GPT-4) enabling automated reasoning and decisioning, as well as predictive modeling and anomaly detection for real-time system health and reliability Develop end-to-end data and decisioning pipelines that transform telemetry, logs, and user signals into actionable insights, automated detection, and root cause analysis Create and deploy scalable APIs and services that deliver predictive signals, explainability, and insights to engineering teams, operational tools, and product stakeholders Partner cross-functionally to embed intelligence into workflows (incident response, release validation, customer insights), improving speed and reducing operational overhead Drive innovation in observability, reliability, and developer productivity through applied AI and new approaches Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 3+ years of applicable experience in backend development, including building AI-powered or data driven applications and scalable APIs (e.g. FastAPI, Flask) Practical experience in AI/ML engineering, with knowledge in at least one of the following areas: Agentic Workflows: Orchestrating foundation models (GPT-4, Claude) using frameworks like LangChain or LangGraph. Traditional ML: Developing, training, or fine-tuning models using frameworks like PyTorch or TensorFlow. Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity. Experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS). Strong understanding of API design, microservices architecture, and standard SDLC workflows. Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, Strong collaboration and communication skills, with the ability to work cross-functionally and clearly explain complex technical concepts Preferred Qualifications Experience with observability platforms (e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). * Experience implementing production-grade systems at scale within a fast-paced, distributed environment. #DISNEYTECH The hiring range for this position in Glendale, CA is $117,500 to $157,500 per year and in New York, NY and Seattle, WA is $123,000 to $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement Contribute to technical documentation and promote knowledge sharing across teams Qualifications Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience 5+ years of experience building and operating ML engineering systems in production environments Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving Experience designing and developing backend microservices for large-scale distributed systems using REST Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) Familiarity with developing and deploying Spark and ML pipelines Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals Experience with observability tools for metrics, logging, and monitoring such as Datadog Experience working in Agile/Scrum development environments Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment #disneytech The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Principal Software Engineer, Media Architecture Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 1.Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 2.Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. 3.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Job Summary: We are redefining how streaming media is delivered, experienced, and scaled across a global ecosystem. From live and linear streaming to VOD workflows, advertising integrations, metadata platforms, and playback clients, our mission is to build a cohesive, high-performing media platform that powers world-class viewer experiences. We are seeking a Principal Software Architect to operate at the intersection of strategy and execution, shaping end-to-end solutions across the Media Engineering ecosystem. This role is not confined to a single domain. You will architect systems that span ingest, processing, orchestration, distribution, and playback across platforms such as Disney+, Hulu, and ESPN. This is a hands-on architecture role for a technical leader who can define vision, influence at scale, and dive deep into code and design when needed. What You'll Do Architecture & Technical Strategy Define and drive end-to-end solution architecture across Live, Linear, and VOD streaming workflows. Establish architectural patterns that unify media ingest, processing, metadata, ads, distribution, and playback ecosystems. Lead cross-domain design for integrations with Ad platforms, metadata services, rights systems, and client applications. Contribute to long-term technical strategy, ensuring scalability, resiliency, and cost efficiency across the media supply chain. Cross-Functional Leadership Partner with Engineering, Product, Program Management, and stakeholders teams to deliver cohesive platform solutions. Influence technical direction across multiple teams and organizations without direct authority. Lead architecture reviews, drive alignment, and resolve complex cross-system challenges. System Design & Implementation Design and document high-scale, distributed systems supporting millions of concurrent streams and global content distribution. Contribute to implementation where necessary, including prototyping, coding, and validating architectural decisions. Author clear architectural artifacts including solution designs, system diagrams, and technical proposals. Operational Excellence Champion best practices in observability, reliability, performance optimization, and cost management. Guide teams in building resilient systems with strong SLAs/SLOs. Use metrics and data to continuously improve system performance and user experience. Innovation & Continuous Improvement Challenge existing architectures and introduce modern approaches to evolving platform capabilities. Stay ahead of industry trends in streaming technologies, ad tech, and media workflows. Drive iterative improvements across systems, workflows, and developer experience. Basic Qualifications 10+ years of experience in software engineering, with significant time in architecture and distributed systems design. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Proven experience designing and scaling high-throughput, low-latency systems in a cloud environment. Strong proficiency in one or more languages such as Java, Python, or similar. Deep understanding of microservices architecture, event-driven systems, and API design. Experience with AWS or similar cloud platforms, including services such as S3, DynamoDB, Kinesis, SNS/SQS, or Kafka. Strong foundation in data modeling, system design, and performance optimization. Ability to write production-quality code and contribute hands-on when needed. Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams. Preferred Qualifications Experience with media streaming systems, including Live, Linear, and VOD workflows. Knowledge of video delivery protocols (HLS, DASH), encoding/transcoding pipelines, and CDN distribution. Experience with media player and client integrations for video playback Familiarity with Ad Tech ecosystems, including SSAI, and ad decisioning systems. Experience working with player/client technologies across web, mobile, and connected devices. Exposure to machine learning applications in media workflows (e.g., content enrichment, personalization). Prior experience operating in a large-scale streaming platform environment. What Sets You Apart You think in systems, not silos, and can connect architecture across domains. You balance vision with execution, capable of both defining strategy and delivering outcomes. You are a force multiplier, elevating teams through influence, clarity, and technical leadership. You are comfortable operating in ambiguity and driving alignment across complex organizations. Product Engineering Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. #Disneytech The hiring range for this position in NY, NY is $197,400 to $264,700 per year and in Santa Monica, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY The Head of AI Data Science serves as the head of AI research and leader of data science operations for a new behavioral intelligence platform initiative within Charter Communications. This executive owns the design, training, validation, and real-world application of the platform's proprietary transformer-based behavioral model — the engine that converts household-scale network signals into the embeddings and predictive features that power the platform's intelligence products. The Head of AI Data Science leads a team of data scientists and ML researchers, partners closely with the Head of Technology on infrastructure, and works in direct collaboration with external development partners during the initial build phase. This role sits on the platform leadership team and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF AI DATA SCIENCE MAKES AN IMPACT Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced. Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals. Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results. Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores. Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data. Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape. QUALIFICATIONS REQUIRED QUALIFICATIONS Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records) Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent) Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures REQUIRED EDUCATION Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field PREFERRED EDUCATION Master's degree or PhD in Machine Learning, Artificial Intelligence, Statistics, or a related quantitative discipline; PhD preferred but not required — demonstrated applied impact and production deployment track record are equally valued REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Senior data science or AI research leadership at a consumer technology, media, adtech, or data intelligence company with transformer-based modeling applied at household or user scale (e.g., Amazon, Netflix, Meta, Google, The Trade Desk, LiveRamp, Nielsen) — 10 years WORKING CONDITIONS In-office position preferably based in New York City * Travel as required for partner engagements, executive meetings, and industry events Apply now, connect a friend to this opportunity or sign up for job alerts (https://jobs.spectrum.com/) ! Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. #LI-SD2 Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 101,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q) Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. (https://jobs.spectrum.com/inclusiveworkplace/) #LI-SD2 #LI-SD2 XEN421 2026-72871 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00 . The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. (https://www.youtube.com/watch?v=mYw1ejL2jZ8) Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. (https://jobs.spectrum.com/life-at-spectrum)

Role Title: UX Researcher Duration: 06+ months Work Location: Hybrid, New York, NY Role Overview We are looking for a highly proactive, senior-level UX Researcher to step in. In this role, you will support a core foundational team focused on high-visibility Consumer Desktop Products, partnering closely with a matrixed, cross-functional organization. This position requires a seasoned mixed-methods researcher who leans heavily into qualitative methodologies but is comfortable utilizing quantitative data to drive product strategy. You will operate with high autonomy, owning your research roadmap end-to-end and collaborating daily with a fast-paced network of Product Managers, Product Designers, and Software Engineers to directly impact millions of daily consumer users. Key Responsibilities • End-to-End Ownership: Independently scope, design, scale, and execute research studies from initial question formulation through to data gathering, synthesis, final reporting, and strategic presentation., • Roadmap Management: Balance 2 to 3 major strategic workstreams ("big rocks") while efficiently managing a steady, rolling monthly pipeline of tactical, evaluative, and foundational/exploratory projects., • Cross-Functional Collaboration: Partner closely with Design, Product Management, and Engineering to ensure user insights actively shape product timelines and execution. (Collaboration with Data Science teams is a plus)., • Methodology Balance: Execute a healthy split of research methodologies, indexing roughly 65–70% on Qualitative work and 30% on Quantitative frameworks. Minimum Qualifications & Experience Level • Seniority & Autonomy: Proven experience operating as an independent, Senior-level UX Researcher. Must have a track record of architecting entire research frameworks from scratch, rather than merely executing pre-defined rapid research templates or supporting a lead researcher's scope., • Product Experience: Strong background delivering insights explicitly for desktop applications and consumer-facing products (a blend of enterprise and consumer is acceptable, but consumer focus is paramount)., • Technical Environment: Prior experience conducting research within mid-to-large-scale global technology companies (e.g., tier-1 tech firms or hyper-growth AI environments)., • Tooling Proficiency: Deep familiarity with external standard user research platforms, specifically UserTesting, Qualtrics, and dscout. Preferred Qualifications (Nice-to-Haves) • AI Product Research: Direct experience executing user research for Artificial Intelligence, Machine Learning, or LLM-driven consumer products is highly prioritized., • Advanced Education: Master’s degree or PhD in Human-Computer Interaction (HCI), Psychology, Anthropology, Cognitive Science, or a related field.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field #disneytech The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

The DEEPT Product Team is looking for a results-driven Sr Product Manager II with deep expertise in personalization and experimentation to join our dynamic News & Entertainment product team. This critical role sits at the intersection of technology, content, and user experience, focusing on world-class digital experiences for Disney's news and entertainment brands. The ideal candidate is collaborative, passionate about UX, self-directed, curious about marketplace trends, and has demonstrated an ability to build and support market-leading digital products . The News & Entertainment product team is responsible for building the next generation of news and entertainment experiences for all digital platforms. As a member of this team, you will collaborate with colleagues across engineering, design, and data science, as well as editorial and business stakeholders to launch new features and coordinate ongoing support for existing experiences. You will drive product personalization strategies by collaborating with machine learning teams, managing experiments, enhancing technical tools, and advocating users to improve the user experience and revenue potential of our digital offerings. You will be supported in personal and professional growth through ongoing learning, mentorship, and leadership opportunities, and be a part of a culture that values diversity, experimentation, and continuous improvement . Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Personalization & Machine Learning Product Strategy: Collaborate closely with our advanced machine learning team to define, deliver, and scale next-generation personalized experiences across News & Entertainment products. Translate complex ML frameworks into actionable strategies that drive user engagement, retention, and satisfaction. Prioritize and communicate opportunities to enhance content recommendations and dynamic experiences. Experimentation & Data-Driven Decision Making Manage all stages of A/B and multivariate testing, selecting key use cases that align to OKRs and user needs, designing test plans, and tracking metrics to ensure statistical significance . Leverage data-driven insights to inform hypotheses, validate business impact, and champion a culture of continuous learning and improvement. Executive Storytelling: D evelop strategic narratives that comb ine qualitative and quantitative data to convey ideas with clarity, influence decision-making , and deliver meaningful improvements at scale. Champion a user-centric mindset, balancing empathy for diverse audiences with a rigorous approach to complex product challenges. Technical Tool Integration & Cross-Functional Collaboration: Lead the adoption and enhancement of personalization and experimentation tools, working across teams to introduce new features, streamline workflows, and enhance product delivery. Basic Qualifications 7 years or more experience in product management, with a proven track record in experimentation, A/B testing, and personalization—preferably for digital content, news, entertainment, or streaming products. Strong technical aptitude and hands-on experience with experimentation platforms and data analytics tools. Familiarity with applied machine learning frameworks and best practices for recommendation systems and content personalization. Demonstrated ability to lead cross-functional teams in a matrixed organization, driving consensus and delivering results. Exceptional problem-solving skills, with the ability to break down complexity and deliver pragmatic solutions. Outstanding written and oral communication skills, capable of influencing at all levels and translating technical concepts for diverse audiences. Passion for news, entertainment, or media and creating transformative user experiences at scale . Required Education A bachelor's or master's degree in computer science, statistics, business, media or a related field from a four-year accredited college or university #Disneytech The hiring range for this position in New York City, NY is $163,100 to $218,700 per year and in Santa Monica, CA is $155,700 to $208,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job title: • Quantitative Researcher (Systematic Equities). Salary: • Up to £350,000 starting base + industry-leading guaranteed bonus and package., • TC of up to £1M+ GBP in annual compensation. Location: • Chicago/New York/London., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced analytics organization is responsible for data strategy & management, cross-platform content measurement, Content marketing measurement, and linear and digital inventory forecasting. The team provides advanced analytics and actionable insights related to Disney entertainment's content, monetization, and audience development. The Data and Analytics Operations team is part of the Cross-Media Measurement and Advanced Analytics organization (CMMAA) . Reporting to the Executive Director of Data and Analytics Operations, this team leverages advanced machine learning techniques to deliver a robust suite of analytics solutions. Their portfolio includes descriptive, predictive, and prescriptive analytics, underpinned by strong data management practices and an interoperability layer. These capabilities are structured to support a range of business goals, such as content production, marketing and monetization. Job Summary: The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning/neural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments. Responsibilities and Duties of the Role: - Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; translate algorithms into production-quality code; optimize for scale and performance. - Architect scalable ML platforms and reusable components (training/inference pipelines, feature/label foundations, model serving patterns) that operate across distributed cloud and platform environments - Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks. - MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health. - Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives with product, analytics, and platform engineering stakeholders. - Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices to improve team velocity and quality. - Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness across ML workflows (GDPR/CCPA). Required Education, Experience/Skills/Training: Minimum Qualifications: - Must have strong production experience with deep-learning, genAI, or retrieval-augmented systems (PyTorch, vector databases) and real-time data pipelines (Kafka, Pub/Sub, Kinesis) - Must have 7+ years of professional experience delivering production ML systems (models + pipelines + monitoring) at scale - Must have advanced coding skills in Python and SQL; strong software engineering discipline (testing, CI/CD, code review, design documentation) - Must have demonstrated experience applying ML techniques in code to develop predictive systems at scale (including deep learning where appropriate) - Must have hands-on expertise with cloud-native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes) - Proven ability to lead technical initiatives across teams and influence architecture and standards Preferred Qualifications: - 8+ years total experience, with hands-on work in media, advertising technology, or cross-platform audience measurement - Strong understanding with modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model-governance practices (metadata, lineage, drift detection) - Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, or equivalent cloud/data credentials - Contributions to open-source ML or data-engineering projects, conference presentations, or peer-reviewed publications - Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers - Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices Required Education: - Bachelor's degree in a relevant technical or science field (e.g. computer science, data science, mathematics, or a related discipline) Preferred Education: - Master's degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operation Research, Data Science) #DISNEYTECH The hiring range for this position in New York City is $179,700.00 - $225,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY The Head of Technology serves as the chief technology officer of a new behavioral intelligence platform initiative within Charter Communications. This executive is accountable for the architecture, engineering, and operations of the full technology stack — spanning large-scale data ingestion and processing, the behavioral embedding platform and feature store, ML/AI infrastructure, an agent-to-agent API layer that enables real-time intelligence exchange with external AI systems, and a business-facing agentic UI that allows non-technical users to query and act on household intelligence through natural language. The Head of Technology will build and lead a high-performance engineering team capable of competing for talent against the world's leading technology platforms, and will serve as the primary technical voice in strategic partner integrations with cloud, data, and AI platform providers. This role sits on the platform leadership team and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF TECHNOLOGY MAKES AN IMPACT Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases. Lead the build of the platform's cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses. Establish the engineering standards, compute architecture, and MLOps practices that will underpin the platform as it scales from initial build through general availability. Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform's cloud-agnostic, API-first design principles. Own the technical relationship with external development partners during the initial build phase, and establish the governance frameworks that allow partner access without compromising the platform's data boundaries or competitive architecture. Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support. This layer must be grounded in the platform's proprietary embeddings and features, designed for accuracy and trust, and built to serve a broad range of enterprise user personas from day one of general availability. Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies. Define team structure, hiring priorities, and engineering culture — balancing internal team development with external development resources as the platform scales from initial build through a full production-ready, commercially deployed product. QUALIFICATIONS REQUIRED QUALIFICATIONS Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design REQUIRED EDUCATION Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field PREFERRED EDUCATION Master's degree or PhD in Computer Science, Machine Learning, Data Engineering, or a related technical discipline REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years Engineering leadership and team-building experience, including managing senior technical staff — 7 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS Senior technical leadership at a recommender systems, identity resolution, data infrastructure, behavioral intelligence, or AI-native product company (e.g., Amazon, Netflix, Uber, LiveRamp, Snowflake, Databricks, Segment, Palantir, Glean, Salesforce Einstein, or equivalent), ideally with experience building both a data intelligence layer and a partner-facing or user-facing application layer from the ground up — 15 years WORKING CONDITIONS In-office position preferably based in New York City, NY Travel as required for partner engagements, executive meetings, and industry events Apply now, connect a friend to this opportunity or sign up for job alerts (https://jobs.spectrum.com/) ! Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you're joining a strong community of more than 101,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q) Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. (https://jobs.spectrum.com/inclusiveworkplace/) #LI-SD2 #LI-SD2 XEN419 2026-72869 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits (https://jobs.spectrum.com/compensation-and-benefits) package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00 . The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. (https://www.youtube.com/watch?v=mYw1ejL2jZ8) Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. (https://jobs.spectrum.com/life-at-spectrum)

Job Description COMPANY DESCRIPTION Lightstone, founded by David Lichtenstein, is one of the most diversified privately held real estate companies in the United States. Headquartered in New York City, Lightstone is active in 27 states across the country, developing, managing and investing in all sectors of the real estate market, including residential, hospitality, commercial, and retail. With nearly $12 billion in assets under management, Lightstone’s portfolio currently includes over 15 million square feet of industrial, logistics, life sciences, and commercial properties, over 25,000 residential units, and over 5,100 hotel keys. For more information, please visit www.lightstonegroup.com. Job Title: AI Strategy & Solutions Director We are a private real estate investment and development group with a diverse portfolio across [multifamily, life sciences, retail, hospitality, industrial]. We are committed to leveraging technology to drive smarter decision-making, operational efficiency, and value creation. We are seeking an AI Strategy & Solutions Director to lead the integration of artificial intelligence across our business functions. Position Summary The AI Strategist will be responsible for identifying, designing, and implementing AI-driven initiatives across investment, asset management, property operations, development, and corporate functions. This role bridges strategy, technology, and real estate expertise to create competitive advantage and position the firm as a forward-thinking industry leader. The role will focus on driving AI across all our asset classes and business lines with a focus on our Hospitality portfolio and our Life & Annuity Reinsurance business. Key Responsibilities • Strategic AI Roadmap: Develop and execute a comprehensive AI strategy aligned with company objectives in acquisitions, development, asset management, leasing, property management, and corporate support functions., • Data & Insights: Partner with data teams to structure and leverage internal and external data sources (market data, tenant behavior, construction costs, ESG metrics, etc.) for predictive analytics and decision support., • Operational Efficiency: Identify opportunities to streamline workflows (lease analysis, underwriting, reporting, valuations, due diligence, etc.) through AI and automation tools., • Investment & Market Analysis: Implement AI models to improve deal sourcing, market forecasting, risk assessment, and portfolio optimization., • Vendor & Tool Selection: Evaluate, recommend, and oversee partnerships with AI platforms, technology vendors, and consultants., • Change Management: Educate and train cross-functional teams on AI capabilities, adoption, and ethical considerations., • Governance & Compliance: Ensure AI initiatives adhere to industry regulations, data privacy standards, and responsible AI practices. Development: Lead the hands-on design, development, and deployment of AI solutions, ensuring the ability to translate high-level strategy into technically sound, practical implementations. Relationships: Collaborate closely with cross-functional teams—including Operations, Finance, Investments, Legal, and IT—to deeply understand business needs and identify high-impact AI opportunities. Building strong, trust-based relationships with key stakeholders across the organization to ensure alignment, adoption, and measurable business value from AI initiatives. Qualifications • Bachelor’s degree in Business, Computer Science, Data Science, Real Estate, or related field; advanced degree preferred., • 7–10+ years of professional experience in strategy, technology, data analytics, or consulting; experience in real estate strongly preferred., • Proven track record of leading AI or data-driven projects from strategy through implementation., • Strong understanding of machine learning, natural language processing, and data visualization as applied to business strategy (not necessarily hands-on coding)., • Familiarity with real estate financial modeling, acquisitions, and asset management processes., • Excellent communication and change management skills; ability to translate technical concepts into business value., • Entrepreneurial mindset with a passion for innovation and continuous improvement. Lightstone offers our employees a comprehensive and competitive benefits program inclusive of: – Paid time off for vacation and sick leave – Health, dental, and vision insurance, and wellness programs – 401(k) and Roth retirement plans – Flexible spending accounts (medical & dependent care) – Life and AD&D insurance with options for supplemental employee, spouse, and child – Long-term and short-term disability insurance – Commuter spending accounts (transit and parking) – Tuition assistance and employee assistance program – Corporate discount programs – On-site mother’s room – Office perks such as lunch, fruit, drinks, and snacks Offered salary commensurate with experience, plus bonus

Company Description Zealogics Inc specializes in IT and Engineering Services, providing innovative solutions across Mechanical, Electronics, and Software platforms to facilitate digital transformation. With a focus on customer-centric product strategies and automation frameworks, Zealogics streamlines processes to deliver high-quality results. Serving Fortune 500 enterprises and OEMs, the company prioritizes client satisfaction by connecting experienced professionals to address complex challenges. Integrity and a commitment to long-term partnerships define Zealogics, as they strive to provide their clients with tangible value and world-class services for both full-time and contractual needs. Role Description We are seeking an AI Automation QA Manager for a contract role with Zealogics Inc. This hybrid position, based in North Bergen, NJ, offers a combination of onsite and work-from-home flexibility. The AI Automation QA Manager will oversee automation quality assurance processes for AI systems, develop and manage testing strategies, and ensure software aligns with business requirements. Daily responsibilities will include leading automation testing efforts, collaborating across cross-functional teams, creating automation frameworks, and analyzing results to enhance continuous improvement processes. Qualifications • Proficiency in Automation Testing, developing QA methodologies, and creating test automation scripts, • Knowledge of AI and machine learning systems, algorithms, and frameworks, • Experience with test planning, design, and execution to validate software functionality and quality, • Strong abilities in problem-solving, debugging, and applying improvements, • Expertise with tools such as Selenium, JIRA, and similar QA automation platforms, • Strong communication, organizational, and time-management skills, • Ability to collaborate effectively with cross-functional teams and manage projects within deadlines, • Educational background in Computer Science, Engineering, or a related discipline (Bachelor’s degree preferred), • Experience in the IT or Engineering sector is advantageous but not required, • Familiarity with Agile/Scrum methodologies is a plus

Description At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence. The VP, Fleet Business Unit will oversee UVeye's fleet business end-to-end, including P&L ownership, business development, program management, strategic partnerships, customer success, and fleet operations, driving UVeye's strategic expansion within the fleet and mobility ecosystem. This role requires a strong leader with operational expertise, a deep understanding of fleet operations, and experience scaling enterprise customers, teams, and processes. The VP will be responsible for driving operational excellence, customer satisfaction, and revenue growth across UVeye's fleet customer base. A day in the life and how you'll make an impact: Define and execute the overall strategy for UVeye's fleet business, aligned with company objectives. Scale UVeye's fleet deployments across multiple customer segments, including commercial, logistics, leasing, and mobility operators. Collaborate cross-functionally with product, operations, and engineering teams to enhance UVeye's value proposition for fleet customers. Oversee fleet customer operations, ensuring efficient deployment, onboarding, and ongoing operational performance. Partner with operations leadership to build and manage scalable support and service models for fleet customers. Ensure compliance with customer requirements, safety standards, and service-level agreements. Lead Enterprise Business Development efforts within the fleet segment, expanding existing accounts and forging new strategic partnerships. Identify and drive new revenue opportunities across fleet use cases, collaborating with sales, marketing, and product teams. Work closely with fleet customers to optimize asset utilization, vehicle health, and operational efficiency through UVeye's technology. Oversee Customer Success and Program Management teams to deliver an exceptional fleet customer experience. Ensure fleet customers achieve measurable ROI from UVeye's solutions, driving renewals, upsells, and long-term partnerships. Lead continuous improvement initiatives informed by customer feedback, data insights, and evolving fleet market needs. Cross-Functional Collaboration Partner with product and engineering teams to tailor UVeye's solutions to the operational needs of fleet operators. Work closely with marketing to position UVeye as a leading inspection and analytics solution for fleet customers. Collaborate with finance and HR to manage budgets, optimize resource allocation, and scale hiring in line with growth. Requirements 15+ years of progressive leadership experience in operations, business development, or general management roles within fleet management, mobility, logistics, automotive technology, or related industries, including direct ownership of P&L, large-scale teams, and multi-regional operations. Demonstrated success scaling enterprise customers and operational infrastructure across multiple sites, regions, or countries, including building repeatable processes, governance models, and performance frameworks to support rapid growth. Deep expertise in enterprise B2B sales cycles, strategic partnerships, and complex commercial negotiations, with a proven ability to drive revenue growth through account expansion, long-term contracts, and cross-functional alignment. Strong track record of leading operational transformation and process optimization initiatives, implementing scalable systems, KPIs, and performance management structures that support high-volume fleet operations. Proven ability to build and lead high-performing, cross-functional teams (Sales, Operations, Customer Success, Product, Engineering), fostering accountability and execution in fast-paced, high-growth environments. Experience developing and executing customer success strategies for large enterprise accounts, ensuring retention, expansion, and long-term value realization. Strong analytical and data-driven mindset, with experience leveraging technology, automation, and performance metrics to improve operational efficiency and customer outcomes. Experience with automotive technology, fleet management systems, telematics, AI-driven solutions, or mobility platforms is strongly preferred. Technical fluency in computer vision / ML systems, with the ability to understand model performance, limitations, and real-world deployment considerations in fleet environments. Proven ability to translate complex technical capabilities into scalable fleet solutions and business outcomes, partnering closely with Product and Engineering to shape strategy, priorities, and execution. Benefits we offer: Competitive Medical, Dental, Vision. Company 401k Match. 20 PTO days, Company paid holidays. Career growth as we scale across the US. Compensation: UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $200,000 - $250,000. In addition, this position is also eligible for Bonus. Physical & Travel Requirements This role requires frequent travel to customer sites, operational locations, and company offices. The position may involve time spent walking customer facilities, standing for meetings or site reviews, and working in varying operational environments such as fleet yards, service facilities, or warehouses. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. * Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships. Check out our Life at UVeye page to learn more about the employee experience. UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

Description Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring 2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads 3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable 4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models 5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures 6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts 7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 3+ years of cloud architecture and solution implementation experience - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience presenting technical solutions to diverse audiences in pre-sales environments Preferred Qualifications - 5+ years of IT implementation experience - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience - Experience communicating technical concepts to diverse audiences in pre-sales environments - Experience in performance optimization and cost management for cloud environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, TX, Houston - 131,300.00 - 177,600.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

The Mount Sinai Health System (MSHS) is one of the largest healthcare systems in the United States and is at the forefront of leveraging clinical excellence and cutting-edge technology to advance patient care, research, and innovation through data-driven insights. MSHS is home to Minerva, the world’s fastest supercomputer based in an academic medical center, and the Artificial Intelligence Ready Mount Sinai (AIR·MS) research platform. Both are part of a computational and data ecosystem that includes cohort query tools, AI agents, and thousands of applications. Several multi-modal data sources, such as electronic health record (EHR) data from our system-wide Epic instance, and millions of digital pathology slides are linked together and available for analytics, research, and quality improvement initiatives. AIR·MS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS. We are seeking an engaged physician informaticist with expertise in computation, data analytics, AI, and U.S. healthcare data. The Lead Physician Informaticist partners with researchers and clinicians to ensure effective use of AIR·MS and the broader data ecosystem. In this collaborative, clinically driven role, you will bridge clinical, operational, and research needs across MSHS. Responsibilities include engaging with stakeholders to understand needs, identifying barriers, developing roadmaps, and supporting the deployment of new AIR·MS capabilities. You will also help translate complex research questions into actionable data queries and develop Python/R scripts to generate insights from the OMOP CDM warehouse. Responsibilities: • Leads researcher and clinician engagement, including needs assessment, communication planning, roadmap development, and user experience optimization., • Partners 1:1 with clinicians, researchers, and analysts to refine questions and deliver tailored data solutions., • Communicates complex data concepts clearly across varying levels of expertise., • Designs, writes, and optimizes SQL queries and Python/R scripts against the OMOP CDM to extract and analyze clinical, revenue and research data., • Educates, trains and mentors users on EHR data structures, OMOP CDM concepts, data limitations, cohort definition, cohort query tools, analytical tools and best practices for self-service analytics., • Helps to support researchers to address various challenges associated with data use and analysis across the translational spectrum (T0 to T4)., • Oversees a user ticketing system and develops training sessions on health care data and data warehouses including the use of query tools and direct SQL., • Validates data outputs for accuracy, completeness, and appropriateness., • Identifies and communicates potential biases or limitations in EHR-derived data., • Collaborates with technical, clinical, and compliance teams to improve functionality, data quality, and governance., • Ensures compliance with regulations, institutional policies, and ethical standards in all data handling and dissemination., • Contributes to documentation, standard query libraries, and training materials to enhance organizational data literacy., • Has familiarity with modern artificial intelligence and machine-learning methodologies, including the use of supervised and unsupervised methods, large language models, and transformers., • May manage a small number of staff as required. Requirements: • Bachelors degree in a technical discipline; Masters degree preferred, • 12-15 years preferred of related experience, including 8 years of demonstrated ability in technology area (clinical informatics at a healthcare system and/or in biomedical research), • At least seven years of experience in clinical informatics at a healthcare system and/or in biomedical research., • Understands and has expertise in a broad spectrum of clinical data types, transformations, concept mappings, and standards (such as OMOP Common Data Model, SNOMED, ICD, RxNorm, LOINC, and ontologies) used at academic medical centers., • Demonstrated proficiency in SQL (including complex joins, stored procedures, window functions, and performance optimization) with experience querying large healthcare datasets, as well as using Python and R programming languages., • Understands how to perform quality assurance and quality control assessments of queries, data, and data warehouses., • Must have experience with HIPAA, Compliance and Cybersecurity requirements., • Strong understanding of EHR data, including clinical workflows, documentation practices, and common data quality issues in EHR derived data., • Familiarity with Epic Clarity and Caboodle data models is preferred., • Experience preferred with a variety of multi-modal data including but not limited to: Radiology DICOM tags, Pathology metadata, genomic/WES, return of genetic results., • Understands best practices for software development lifecycles., • Experience working with students, residents, fellows, staff, faculty, administrators with different levels of technological and medical expertise in a large academic medical system., • Effective communication and collaboration skills. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. _

Description At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence. The VP, Fleet Business Unit will oversee UVeye's fleet business end-to-end, including P&L ownership, business development, program management, strategic partnerships, customer success, and fleet operations, driving UVeye's strategic expansion within the fleet and mobility ecosystem. This role requires a strong leader with operational expertise, a deep understanding of fleet operations, and experience scaling enterprise customers, teams, and processes. The VP will be responsible for driving operational excellence, customer satisfaction, and revenue growth across UVeye's fleet customer base. A day in the life and how you'll make an impact: • Define and execute the overall strategy for UVeye's fleet business, aligned with company objectives., • Scale UVeye's fleet deployments across multiple customer segments, including commercial, logistics, leasing, and mobility operators., • Collaborate cross-functionally with product, operations, and engineering teams to enhance UVeye's value proposition for fleet customers., • Oversee fleet customer operations, ensuring efficient deployment, onboarding, and ongoing operational performance., • Partner with operations leadership to build and manage scalable support and service models for fleet customers., • Ensure compliance with customer requirements, safety standards, and service-level agreements., • Lead Enterprise Business Development efforts within the fleet segment, expanding existing accounts and forging new strategic partnerships., • Identify and drive new revenue opportunities across fleet use cases, collaborating with sales, marketing, and product teams., • Work closely with fleet customers to optimize asset utilization, vehicle health, and operational efficiency through UVeye's technology., • Oversee Customer Success and Program Management teams to deliver an exceptional fleet customer experience., • Ensure fleet customers achieve measurable ROI from UVeye's solutions, driving renewals, upsells, and long-term partnerships., • Lead continuous improvement initiatives informed by customer feedback, data insights, and evolving fleet market needs., • Cross-Functional Collaboration, • Partner with product and engineering teams to tailor UVeye's solutions to the operational needs of fleet operators., • Work closely with marketing to position UVeye as a leading inspection and analytics solution for fleet customers., • Collaborate with finance and HR to manage budgets, optimize resource allocation, and scale hiring in line with growth. Requirements • 15+ years of progressive leadership experience in operations, business development, or general management roles within fleet management, mobility, logistics, automotive technology, or related industries, including direct ownership of P&L, large-scale teams, and multi-regional operations., • Demonstrated success scaling enterprise customers and operational infrastructure across multiple sites, regions, or countries, including building repeatable processes, governance models, and performance frameworks to support rapid growth., • Deep expertise in enterprise B2B sales cycles, strategic partnerships, and complex commercial negotiations, with a proven ability to drive revenue growth through account expansion, long-term contracts, and cross-functional alignment., • Strong track record of leading operational transformation and process optimization initiatives, implementing scalable systems, KPIs, and performance management structures that support high-volume fleet operations., • Proven ability to build and lead high-performing, cross-functional teams (Sales, Operations, Customer Success, Product, Engineering), fostering accountability and execution in fast-paced, high-growth environments., • Experience developing and executing customer success strategies for large enterprise accounts, ensuring retention, expansion, and long-term value realization., • Strong analytical and data-driven mindset, with experience leveraging technology, automation, and performance metrics to improve operational efficiency and customer outcomes., • Experience with automotive technology, fleet management systems, telematics, AI-driven solutions, or mobility platforms is strongly preferred., • Technical fluency in computer vision / ML systems, with the ability to understand model performance, limitations, and real-world deployment considerations in fleet environments., • Proven ability to translate complex technical capabilities into scalable fleet solutions and business outcomes, partnering closely with Product and Engineering to shape strategy, priorities, and execution. Benefits we offer: • Competitive Medical, Dental, Vision., • Company 401k Match., • 20 PTO days, Company paid holidays., • Career growth as we scale across the US. Compensation: UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $200,000 - $250,000. In addition, this position is also eligible for Bonus. Physical & Travel Requirements This role requires frequent travel to customer sites, operational locations, and company offices. The position may involve time spent walking customer facilities, standing for meetings or site reviews, and working in varying operational environments such as fleet yards, service facilities, or warehouses. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Why UVeye: • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections., • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale., • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships. Check out our Life at UVeye page to learn more about the employee experience. UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

It's more than a job As a member of the Freight Forwarding team Kuehne+Nagel, you will play a key role in transporting goods, optimising processes, and fulfilling our customers' promises. And by transporting medicines, toys and important machine parts, you are not only delivering goods, you are making small and big moments possible for people all around the world. At Kuehne+Nagel, our contribution counts in more ways than we imagine. ‎ Kuehne + Nagel offers an immersive internship bridging academic learning with practical application. Interns work in a dynamic, cross-functional team, gaining exposure to various departments and contributing to projects alongside experienced professionals. The program includes structured training focused on critical skills, with opportunities to learn advanced supply chain engineering techniques and global optimization strategies. Interns will explore supply chain engineering and optimization through hands-on experience, understanding how these methodologies improve operational efficiency. Placed within the corporate trade team, interns will gain foundational knowledge of Kuehne + Nagel's services and sea freight strategies. They will learn the team's role in shaping global logistics and strategic decision-making, equipping them with a solid understanding of sea freight's role in the company's success. How you create impact This 12 months internship program offers comprehensive exposure to Kuehne + Nagel's corporate trade team, focusing on global logistics, maritime regulations, and pricing strategies. Specific goals and objectives include: + Understanding Team Roles: Interns learn the responsibilities of different groups within the trade team and how they collaborate, with an emphasis on regional structures and weekly calls with sub-regions. + Learning About Rates: Interns explore how rates are formulated, focusing on fixed, floating, and premium rates, as well as global versus regional pricing. This knowledge is key to providing competitive quotes. + Understanding Ocean Carrier Agreements: Interns are introduced to agreements between carriers and shippers, including their structure and compliance with Federal Maritime Commission (FMC) regulations. + Role of the FMC: Interns will understand the FMC's regulatory role in maritime operations. + Understanding Contracts: Interns learn the significance of contracts, compliance, and the consequences of non-compliance, including penalties or service disruptions. What we would like you to bring + Desire to gain skills in communication, contract management, regulatory compliance, and industry-specific knowledge. + Interest in Corporate Trade Team Function, understanding how it works with suppliers and local branches to execute global strategies and ensure operational efficiency. + Ability to develop communication skills through interactions with internal and external stakeholders, enhancing the ability to negotiate and collaborate. + Ability to develop and understanding of legal agreements with carriers and suppliers. + Basic Microsoft Excel Skills for data analysis and reporting. + Knowledge of Industry Regulations, including FMC regulations, and Incoterms 2020 a strong plus. This position is not eligible for employment visa sponsorship. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship. What's in it for you At Kuehne+Nagel we strive daily to inspire, empower, and deliver not only to our customers, but also to our colleagues. We offer a dynamic global work environment with opportunities for excellent training programs and career mobility. The target pay range for this position is between $21.00 and $22.00 per hour. Base salary is part of a competitive total rewards package that includes health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, skills, job location, internal pay equity, and other relevant business considerations. Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data. #LI-UT1 Kuehne+Nagel participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. Artificial Intelligence (AI) tools may be used to assist in specific processes [e.g. screening applications, interview scheduling]. These tools analyze information to support decision-making, but final decisions are made by human reviewers. Who we are Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world. As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine. We kindly advise that placement agencies refrain from submitting unsolicited profiles. Any submissions of candidates without prior signed agreement will be considered our property and no fees will be paid. Kuehne + Nagel is an equal employment/affirmative action employer. If you require an accommodation for any part of the online application process due to a disability, please contact the Employee Services HR Help Desk at 1-800-267-1326 during the hours of 8:00am - 5:00pm EST; Monday through Friday or via e-mail at: HR.helpdesk@kuehne-nagel.com with the nature of your request. We will answer your inquiry within 24 hours.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience developing software code in one or more programming languages (java, python, etc.) - Bachelor's degree in computer science or equivalent - 3+ years of cloud architecture and solution implementation experience - 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) Preferred Qualifications - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience scripting for automation (e.g., Python, Perl, Ruby) - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Master's degree in computer science, computer engineering, or related field, or PhD - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually

Company Description Mundial Media is an AI-powered advertising platform designed to understand cultural nuances through advanced machine learning, without relying on cookies or IDs. Utilizing its proprietary Cadmus AI technology, Mundial Media analyzes millions of pages daily to deliver high-quality, brand-safe, and culturally relevant content across sports, entertainment, lifestyle, and emerging multicultural trends. The platform leverages billions of real-time signals to create dynamic, contextually relevant segments that ensure privacy-safe accuracy, stronger engagement, and scalable solutions for brands. Mundial Media specializes in connecting brands with their audiences at the most impactful cultural moments through premium publishing partners. Role Description This is a full-time hybrid Senior Account Manager role based in New York, NY. The Senior Account Manager will work closely with clients to understand their business needs, build and maintain strong relationships, and oversee account management processes. Responsibilities include creating strategic plans, driving account growth, ensuring client satisfaction, monitoring campaigns, and delivering performance reports. Some remote work flexibility is available for this role. Qualifications • Experience in Client Account Management, Relationship Building, and Client Retention, • Strong Communication, Presentation, and Negotiation Skills, • Proficiency in Data Analysis and Campaign Performance Reporting, • Knowledge of Digital Advertising, Ad Technology, and AI-driven Platforms, • Problem-Solving and Strategic Thinking Abilities, • Ability to manage multiple accounts and meet deadlines, • Bachelor’s degree in Business, Marketing, or a related field, • Prior experience in the advertising, tech, or media industry is a plus

About Anthropic 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. Infrastructure Expansion holds the majority of Anthropic's deployed capital assets and moves them through a global network of warehouses, integrators, and field sites. The freight ranges from a tray of optics to a generator on a lowboy; one lost shipment cascades into a slipped site. You'll build and lead this function. The job has four centers of gravity: process and SOP engineering so a thousand contractors execute the same way at every site; warehousing and inventory management, including being the business owner for the asset‑lifecycle platform our software team is building; shipping and logistics ops for high‑value equipment with real chain‑of‑custody and security; and heavy/oversized material movement - generators, switchgear, integrated racks - from factory to pad. You're building the team and the playbook, and you're measured on whether the right thing shows up at the right dock, on time, intact, every time. What you'll do Own process and SOP engineering. Author the procedures that govern receiving, inspection, kitting, integration, ship‑out, install, and RMA - and the QA/audit loop that proves they're being followed. Turn field incidents into process changes, not memos. Run warehousing and inventory. Stand up the warehouse network (3PL vs. in‑house), the sparing model that keeps every PoP inside its replacement SLA, and cycle‑count/reconciliation discipline that keeps book and floor in agreement. Be the business owner for the asset‑lifecycle platform. Partner with the Core Services software team building our inventory/ALM system - define the data model, state machine, and EDI/WMS integrations it needs; you decide what "correct inventory" means, they make the system enforce it. Own high‑value shipping operations. Carrier selection and management, lane risk assessment, GPS/tamper traceability, named handoff owners, insurance and claims - so when something goes missing we know where, when, and who before it costs us a site date. Own heavy and oversized logistics. Generators, switchgear, fully‑integrated racks: route surveys, permits, rigging and crane coordination, shock/vibe acceptance criteria, and the site‑receiving plan on the other end. Run trade compliance and reverse logistics. ECCN/ITAR classification and licensing across jurisdictions; RMA, repair/refurb, decommission and disposition. Build the team. Hire and lead warehouse ops, logistics coordinators, process/QA engineers, and trade compliance. This is a build‑the‑function role. You may be a good fit if you Have run global hardware logistics at hyperscaler, large OEM/ODM, telecom, or energy‑infra scale - multi‑site warehouse network, 3PL management, high‑value and oversized freight. Have personally written the SOPs and the QA system for a hardware operation, and have the scar tissue from the time the SOP existed but nobody followed it. Have been the business‑side owner of a WMS / inventory / asset‑lifecycle system - defined requirements, drove the integration, owned data quality. Have moved heavy equipment (generators, transformers, skids, prefab modules) including permits, rigging, and site receiving - not just parcel and LTL. Have stood up a function from near‑zero: picked the systems, wrote the processes, hired the team, owned the number. Are fluent in trade compliance for dual‑use electronics across NA/EU/APAC. Are equally comfortable in a vendor QBR, a software requirements review, and on a loading dock. Nice to have Network/optical hardware specifically - line systems, pluggables, chassis - and the failure/sparing math that goes with it. Secure‑logistics or high‑theft‑lane experience (semiconductor, pharma, defense, precious metals). Central integration / rack‑build line experience, including shock/vibe qualification. Supply‑chain analytics or cost‑attribution background. 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: $365,000 - $435,000 USD Logistics 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. How we're different 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. Come work with us! 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.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 5+ years of software development with object oriented language experience - 5+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree in computer science, engineering, mathematics or equivalent Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Irvine - 153,600.00 - 207,800.00 USD annually USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TN, Nashville - 145,900.00 - 197,400.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually