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State of Location: New Jersey Position Summary: As an outpatient orthopedic clinician, you will have the opportunity to work with patients varying in age and diagnosis based on each clinic's specialty. Our treatment sessions are individualized, allowing a patient-centered focus and approach. Ivy's rewarding work environment allows collaboration and mentorship while maintaining autonomy and growth that is specific to each of our clinicians' passions and expertise. Job Description: Position: Full-time Physical Therapist License Required: Yes – Active or Pending License as a Physical Therapist Education Required: Graduate of an accredited Physical Therapy program Our Locations: Englewood, NJ (15 Nathaniel Place) Base Compensation Range: $90,000.00 - $105,000.00 annually Additional Compensation: Bi-weekly clinician bonus plan + lifetime uncapped student loan repayment or a competitive sign-on bonus to kick off your new role! Join Ivy Health's dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Why Choose Ivy Health? • Exceptional Workplace: A prestigious honor to be recognized by Gallup as an Exceptional Workplace, recognizing the most engaged workplace cultures in the world., • Intelligent Documentation: With the utilization of ScribeIQ (an AI documentation tool), clinicians can expect a significant reduction in their normal documentation time, allowing them to spend more quality time with patients and keeping their notes AT work., • Innovative Resources & Mentorship: Access to abundant resources, robust mentorship, and career advice for unparalleled success., • Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes., • Exceptional Partnerships: Collaborate with leaders like Hospital for Special Surgery (HSS) and educational partners for continuous learning., • A Culture of Connection and Support: Enjoy access to Teammate Resource Groups (TRGs) including Pride, Military, Career Development, and Wellness & Work-Life Balance, plus the Teammate Financial Assistance Fund, a well-structured onboarding experience, and a large nationwide community of like-minded professionals., • Advance Your Career: Take advantage of opportunities in clinic ownership, travel assignments, residency and fellowship programs, mentoring, leadership roles, non-clinical career paths, and much more! Benefits (effective the first of the month following your start date): • Medical, dental, vision, and pet insurance, • Commuter benefits (pre-tax benefit), • Short-term and long-term disability, • Employee Assistance Program (EAP) + discount program, • Complimentary therapy services, • 401(k) with company match, • Up to 20 PTO days, 6 holidays off, 2 CEU days off, and CEU reimbursement annually, • Ivy-funded NPTE prep course, • Paid Maternity & Parental Leaves (eligibility after 26 weeks) The compensation range listed reflects the good faith estimate of pay this organization reasonably expects to offer for this position at the time of posting. Actual compensation will be determined based on relevant factors including skills, experience, qualifications, and work location. This range applies to the base salary or hourly rate only and does not include bonuses, benefits, or other forms of compensation that may be offered. We do not inquire about salary history as part of our hiring process. #LI-KS1 #ortho3008 We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. _

Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. Care at home in Manhattan. What We Provide • Referral bonus opportunities, • Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays, • Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability, • Employer-matched retirement saving funds, • Personal and financial wellness programs, • Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care, • Generous tuition reimbursement for qualifying degrees, • Opportunities for professional growth and career advancement, • Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities What You Will Do, • Manages and provides full scope of advanced nursing practice for targeted patient populations. Evaluates patient responses to therapy / interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes., • Identifies need for new/revised clinical protocols. Collaborates with physicians and others within the practice to develop protocols and provides training as appropriate., • Manages and provides comprehensive advanced nursing care including physical examination, comprehensive history, screening for physical and/or psychological conditions, emergent interventions, pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling and patient education. Establishes a treatment plan based on clinical findings and. Determines when further evaluation by collaborating physician, specialist or emergency care is warranted., • Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning. Assesses, plans, and provides intensive and continuous care management across client settings., • Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements. Qualifications Licenses and Certifications: License and current registration to practice as a Registered Professional Nurse in New York State required. Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required. Valid driver's license, as determined by operational/regional needs may be required. Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required. Maintains NPI, Medicaid and Medicare provider numbers preferred. Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred. Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required. For Psychiatric Nurse Practitioners only:Current PMHNP-BC certification required Education: Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required For Psychiatric Nurse Practitioners only:Master's Degree in psychiatric-mental health Nurse Practitioner requiredPhD in psychiatric-mental health Nurse Practitioner preferred Work Experience: Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferredClinical home care experience or two years managerial experience preferredDemonstrated knowledge of Hedis and QARR quality measures, ICD-10 and CPT coding for reimbursement of services requiredBilingual skills, as determined by operational needs requiredFor Psychiatric Nurse Practitioners only:Minimum of two years of experience as a psychiatric nurse practitioner utilizing full scope of practice required Pay Range USD $109,900.00 - USD $146,500.00 /Yr. About Us VNS Health has been committed to meeting the needs of New Yorkers for over 130 years. We’re one of the largest nonprofit home- and community-based health care organizations in the country, and today, more than 11,500 team members work together to make a difference in the lives of more than 99,000 patients and members on any given day.

Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description The English as a Second Language (ESL) Teacher will help provide and guide instruction for K-12 ESL students across several campuses at North Star Academy. The ESL teacher will work closely with the school-based Special Education Coordinators, as well as with teachers and leaders throughout the region, so this position requires the ability to travel between our Newark campuses. The ESL Teacher will report to the Associate Director of Special Education. RESPONSIBILITIES • Demonstrate a relentless drive to improve the minds, characters & lives of students both in and out of school, • Show unwavering commitment to urban youth achieving greatness, • Provide in-class support in the general education setting and small group instruction to ESL students, • Provide support and feedback to content teachers on sheltered instruction strategies as needed, • Attend and participate IEP meetings for English Learners as directed by the Associate Director of Special Education, • Follow ESSA guidelines for identification, instruction, assessment, and exiting ESL students, • Create a positive, structured learning environment to ensure that students observe the school’s core values, high expectations, and strict code of conduct, • Implement curricula and activities to meet academic and language acquisition standards aligned to the WIDA English language development standards, • Complete training for administering WIDA assessments used to identify and determine continued eligibility for ESL services, • Provide consistent rewards and/or consequences for student behavior to ensure that students observe the school’s core values, high expectations, and strict code of conduct, • Be accountable for students’ mastery of academic and language acquisition standards, • Exhibit resilience to persevere and turn challenges into opportunities, • Focus constantly on student learning, thinking critically and strategically to respond to student learning needs, • Communicate effectively with students, families, and colleagues, • Engage families in their children’s education, • Commit to continual professional growth Qualifications • Drive to improve the minds and lives of students in and out of the classroom, • Flexibility to adapt to the needs of our students, • Proven track-record of high achievement in the classroom, • Mastery of and enthusiasm for academic subjects, • Evidence of self-motivation and willingness to be a team player, • Bachelor’s degree is required; Master’s degree is preferred; and, • Minimum of two years teaching experience in an urban public school or charter school setting preferred, • By the time that employment begins, candidates must have received a Bachelor's degree from a College or University. For teaching roles in New Jersey, the candidates must have earned a cumulative 2.75 GPA (for candidates graduating before September 1, 2016) or 3.0 (for candidates graduating on or after September 1, 2016)., • Valid NJ English as a Second Language State Certification is highly preferred, • Belief in and alignment with Uncommon’s core beliefs and educational philosophy is non-negotiable. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Our Approach to AI and Your Application At Uncommon Schools, we value thoughtful use of technology. Your responses should begin with your own thinking and reflect your authentic voice, experiences, and commitment to our mission. Generative AI can be used to refine or organize writing, but not to generate initial responses or replace your ideas. Every application is reviewed by a member of our Recruitment Team, and we are committed to understanding the person behind the application. Compensation Compensation for this role is between $60,000 to $90,000. Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Candidates without full-time Teaching experience will likely have a starting salary of $60,000. Benefits Generous paid time off inclusive of sick time, paid holidays, and ~10 weeks of paid breaks (Spring, Winter, and Summer). Extensive, best-in-class training and development Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA) Financial Planning New Jersey Pension program Paid leave of absence options (parental, medical, disability, etc.) Mental health and counseling support + wellness benefits *A detailed list of all SY 26-27 benefits is located _. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job Title: RN Location: Jersey City Medical Center Department Name: MH Hudson MICU Req #: 0000255842 Status: Hourly Shift: Evening Pay Range: $47.85 - $67.04 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: The RN will provide 9-1-1 Advanced Life Support and Specialty Care Transport services for patients of all ages in the areas that we serve. Qualifications: Required: • Associates Degree, • RN licensed by the State of NJ, • 1 year minimum of ICU/CCU/ED experience, • AHA Basic Life Support, • AHA Advanced Cardiovascular Life Support, • AHA Pediatric Advanced Life Support, • EMT-B, • HAZMAT Awareness, • CBRNE/WMD Awareness, • ICS 100, ICS 200, ICS 800, • NIMS 700, • PHTLS/ITLS, • A valid driver's license in the state of residence meets our standards Preferred: • Bachelor of Science Degree in Nursing (BSN), • NJ Paramedic (MICP) or NJ Mobile Intensive Care Nurse (MICN) or National Registry Paramedic and eligible for reciprocity, • 2 years of ICU/CCU/ED experience, • AHA Neonatal Resuscitation Program Certifications and Licenses Required: • RN licensed by the State of NJ, • AHA Basic Life Support, • AHA Advanced Cardiovascular Life Support, • AHA Pediatric Advanced Life Support, • EMT-B, • HAZMAT Awareness, • CBRNE/WMD Awareness, • ICS 100, ICS 200, ICS 800, • NIMS 700, • PHTLS/ITLS Scheduling Requirements: • Part-Time, Evenings, • 24 hours per week Essential Functions: • The RN will provide 9-1-1 Advanced Life Support and Specialty Care Transport services for patients of all ages in the areas that we serve. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon, • ….and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered,high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

New Hire Incentive Bonus! UniFirst’s Watervliet, NY location is now offering an incentive bonus of $3,500 for new hires. The following guidelines must be met to be eligible: • New hire must reach 180 days to receive the full incentive bonus., • New hire must abide by UniFirst’s 90-Day Probationary Period. This includes meeting UniFirst’s attendance and performance policy., • New hire must not have been previously employed by UniFirst. Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Fleet Supervisor to join our UniFirst community. As a Supervisor in the Maintenance Department, you will be ensuring our fleet vehicles are properly functioning and regularly maintained as well as managing and mentoring our Fleet Technicians. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Manage overall upkeep and maintenance of fleet vehicles., • Verify that the appearance of fleet vehicles meet UniFirst standards., • Ensure vehicle compliance and safety requirements are met., • Implement preventative maintenance programs for vehicles and equipment, and schedule predictive & preventative maintenance., • Mentor, manage, and motivate performance of Fleet Technicians., • Provide ongoing learning and development opportunities for all Team Partners., • Produce reports related to work performance and departmental budget., • Develop and maintain relationships with vendors to ensure best pricing for vehicle parts., • Plow and salt location parking lot as needed., • Utilize a Computerized Maintenance Management System., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school diploma or GED required., • Must be 21 years of age or older., • 5 years of equivalent experience required., • Valid driver's license and a safe driving record are required. A CDL license is preferred., • Must meet DOT requirements., • Strong leadership and communication skills; ability to train potential techs., • Must have experience in the use of diagnostic software and fleet management systems., • Ability to work overtime as needed is required., • Ability to lift up to 80lbs. The estimated salary for this position ranges from $48,954.93 to $67,992.95 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

New Hire Incentive Bonus! UniFirst’s Watervliet, NY location is now offering an incentive bonus for $3,500 new hires. The following guidelines must be met to be eligible: • New hire must reach 180 days to receive the full incentive bonus., • New hire must abide by UniFirst’s 90-Day Probationary Period. This includes meeting UniFirst’s attendance and performance policy., • New hire must not have been previously employed by UniFirst. Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Tech II to join our UniFirst community! As a Team Partner in the Maintenance Department, you will handle repairs, maintenance, installation and troubleshooting of industrial equipment, systems, and components. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime! We have an immediate opening and provide on the job training. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds because we believe it takes many kinds of people to make us successful. What you’ll be doing: • Troubleshoot sources of equipment problems through observation and use of precision measuring and testing instruments., • Assist other maintenance personnel with emergency and non-emergency repairs., • Troubleshoot and repair Programmable Logic Controllers (PLC’s) and associated control systems., • Follow blueprints, schematics, operation manuals, manufacturer’s instructions, and engineering specifications., • Perform boiler chemical and wastewater pre-treatment system testing, record results in logbooks / computer systems and make necessary chemical adjustments as required., • Perform daily and weekly safety checks on boilers and make necessary repairs as required., • Inspect motor, belts, fluid levels, replace filters and perform other maintenance actions in accordance with maintenance procedures., • Performing basic welding activities to effect repairs on facilities and equipment., • Inspect, clean and lubricate shafts, bearings gears and other equipment parts in accordance with work procedures and technical manual., • Utilize a Computerized Maintenance Management System., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school diploma or GED equivalent required., • Two-year technical degree in an appropriate background is preferred., • Must be at least 18 years of age., • Knowledgeable in industrial maintenance of facilities and equipment., • Minimum of 1 year of work experience repairing industrial processing equipment in a production environment required. Applicable military experience will be considered., • Must pass UniFirst’s maintenance knowledge assessment to be eligible for employment., • Ability to read blueprints and schematics is required., • Ability to read and understand maintenance literature printed in English required., • Basic computer and Microsoft Office skills is required., • Lockout / Tagout experience is required Ability to work overtime as needed is required. Valid driver’s license and a safe driving record are required. • Ability to lift up to 80 lbs. The estimated hourly pay for this position ranges from $22.33 to $29.72 per hour. Actual compensation will vary based on factors including but not limited the candidate’s skills, experience, and qualifications. Geographic differentials may apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 1.5-billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 13,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. There’s a lot to love about UniFirst, where you come first. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

What we offer • Excellent health benefits plan, which includes medical, vision and dental options, • 401(k) with company match, • Company profit sharing plan, • Generous paid time-off and paid holidays, • Paid parental leave, • 2 free on-site fitness rooms, • Employee Assistance Program, • Employee Resource Groups, • Personal and professional development program Job Summary The Regional Director of Operations leads a team of Franchise Business Consultants (FBCs) assuring the region is fulfilling SERVPRO’s obligation to help franchisees achieve their business goals. The Regional Director of Operations is also responsible for managing results based on the company's objectives for their region. This position is meant to coach and motivate consultants to provide value-added services to franchisees within the region, and embrace SERVPRO’s operating systems and business philosophies, thereby, producing higher volume and profits. You will • Meet company-defined objectives and results, quarterly and annually., • Assure each Consultant is meeting the job description requirements and responsibilities as outlined in their job description., • Act as a liaison between Servpro Headquarters, Franchise Business Consultants, and Associate Franchises in the region., • Monitor and provide accountability with the consultant’s goals and objectives., • Achieve at least $1,500,000 in average volume per franchise license in the region., • Ensure a low level of the number of franchise terminations in the region., • Provide group presentations at area meetings in the region regarding SERVPRO® topics., • Monitor corporate key initiatives and assist with assignment responsibilities as needed., • Ensure each consultant has completed business goal setting through the Annual Strategic Planning Process for each regional franchise operator. Monitor goal progress and effectively coach to assist in goal achievement., • Personally monitor top quartile performing license owners’ engagement with their consultants and the SERVPRO® operating system., • Effectively manage 4th quartile license performance improvement., • Assist in successful implementation and achievement of regional strategic initiatives. Provide one-on-one meetings with Franchise Business Consultants. Maintain direct oversight and monitoring of training for new Franchise Business Consultants., • Keep abreast of developments within SERVPRO® and the industry. Remain current on new technology as it relates to cleaning and restoration., • Attend all mandatory meetings defined as consultant meetings, all parts of annual SERVPRO convention including workshops, regional meetings, and any other meetings, seminars, or programs designated as mandatory by SERVPRO®., • Performance manage assigned team members. Provide timely and valuable feedback, identify areas of weaknesses, and make recommendations for improvement., • Develop a team of quality people who focus on excellent service, fairness, and mutual respect. Ensure training for consultants as needed., • Assist with the annual budget and provide oversight of regional P&L accountability., • Monitor travel schedule and expenses for regional team members., • Gather, compile, and communicate industry-related information. Provide consultants and franchisees with useful technical and operational marketing information., • Maintain consistent communications with regional franchises, as well as other franchises, on an as-needed basis. You have • Three to five (3-5) years of multi-unit management experience., • Ability to read, write, and communicate with employees, customers, suppliers, in person, on the phone, and by written communications in a clear, straight forward, and professional manner., • Franchise consulting experience required., • Excellent presentation skills., • Skilled in the development of training programs and standard operating procedures with strong written, verbal, and presentation skills., • Strong leadership, supervision, team building, coaching, and consulting skills., • Excellent communication skills including the ability to represent SERVPRO® to internal and external clients/customers., • Proficiency in Microsoft Office including the use of Microsoft Word, Outlook, Excel, and PowerPoint., • Possess strong organizational, analytical, and time management skills., • Ability to fully understand the SERVPRO® Operating System., • Ability to fully understand and train SERVPRO® Stages of Development., • An understanding of financial statements, QuickBooks® Pro, and general business practices., • Strong persuasion and negotiation skills., • Demonstrated conflict resolution and consulting skills., • A complete understanding of training venues, resources, and programs (i.e., NFTP, FMC, DTP, T/D, etc.)., • Financial experience with P&L and balance sheet analysis., • Maintain a valid Driver’s License., • Location: This position supports the Northeast Region (ME, NH, VT, MA, RI, CT, NY, NJ, PA, DE, MD). Candidates are strongly preferred to reside in the Greater Nashville, TN area or one of the states listed above to best support regional operations, leadership collaboration, and franchise engagement. Regular travel throughout the Northeast region is required. Education • Bachelor’s degree in Business, Finance, or other related field or equivalent work-related experience., • Institute of Inspection Cleaning and Restoration (IICRC), Water Restoration Technician (WRT), and Applied Structural Drying (ASD) certification or ability to obtain within first year of employment. (Testing and renewal fees not reimbursed by SERVPRO®) Compensation range: $123,200-169,450 plus up to 25% annual incentive bonus The actual salary offered will be based on a variety of factors, including skills, experience, qualifications, internal equity, and location. About SERVPRO For more than 50 years, SERVPRO® has been a trusted leader in fire and water cleanup and restoration services, mold mitigation, construction, biohazard and pathogen remediation throughout the United States and Canada. Our 2,200+ individually owned and operated franchises are supported by our dedicated headquarters team. We strive to cultivate a professional community that respects and celebrates the things that make us unique, the things we share, and the collaborative spirit we bring to the work we pursue together. SERVPRO is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, gender, sexual orientation, national origin, veteran or disability status.

Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Custodian to join our UniFirst community. As a Team Partner in the Maintenance Department, you will be performing housekeeping and cleaning activities of the facility in office spaces, kitchen areas, common areas, plant / production floor, restroom facilities, and parking lots / grounds areas. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Utilize equipment to perform housekeeping operations, including wet and dry mops, brooms, floor scrubbers, vacuum cleaners, cleaning supplies, towels, steel wool, carts, and trash cans., • Ensure restrooms, kitchen, and breakroom areas are cleaned and stocked., • Remove trash and place it in the designated area., • Maintain window cleanliness., • Uphold furniture by dusting and ensure builders hardware is satisfactory., • Relocate light furniture to assigned areas as directed., • Replace light bulbs in overhead fixtures when directed., • Perform cleaning operations in the office areas, production floor, outside of the facility, and other property areas as assigned by the Maintenance Supervisor., • Perform other duties as assigned by leadership Qualifications What we’re looking for: • Must be at least 16 years of age or older, • Must be 18 years of age or older to work in heights and electricity, • High school education and/or GED equivalent is preferred., • Knowledge of cleaning materials and equipment to ensure safe usage of general cleaning chemicals., • Ability to work independently with little or no supervision., • Must be able to operate floor cleaning equipment and other tools as required., • Ability to read, comprehend and interpret procedures and instructions in English., • Ability to effectively present information and respond to questions from co-workers and managers., • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated hourly pay for this position ranges from $15.48 to $20.60 per hour. Actual compensation will vary based on factors including but not limited the candidate’s skills, experience, and qualifications. Geographic differentials may apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Utility Worker to join our UniFirst community. As a Team Partner in the Maintenance Department, you will be assisting with maintaining the location building and equipment systems by performing; basic maintenance and plant utility functions, loading and unloading deliveries, painting, operating industrial equipment, and plant cleaning / blowdowns. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime! We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Utilize equipment to perform plant cleaning operations, this includes,: floor scrubbers, lint and dust removal devices, outside rubbish removal, equipment cleaning, and pit / trench screen cleaning., • Perform miscellaneous painting tasks throughout the plant or outside on facility grounds., • Operate powered industrial forklifts / lifts throughout the facility to assist in relocating materials., • Assist in loading and unloading trucks, • Assist with production receiving activities., • Perform various levels of facilities upkeep including landscaping, snow removal, and other removal operations., • Perform light equipment maintenance tasks, trench screen cleaning, lint and dust blowdown of facilities and equipment, fluid level checks, light bulb replacement, ceiling tile replacement, cart cleaning and repair, and pressure washing after appropriate training from UniFirst., • Upon proper training and certification, may be called upon to operate Company vehicles such as shuttle trucks or route trucks., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school diploma or GED equivalent required., • At least 2 years of relevant experience is preferred., • Must be 18 years of age or older, • Valid driver's license and a safe driving record are required., • Ability to work independently with little or no supervision., • Must be able to operate powered industrial equipment (forklifts, floor scrubbers, scissor lifts) and other similar tools as required., • Experience using basic hand and power tools is required., • Ability to read, comprehend and interpret procedures and instructions in English., • Ability to effectively present information and respond to questions from co-workers and managers., • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated hourly pay for this position ranges from $19.23 to $25.59 per hour. Actual compensation will vary based on factors including but not limited the candidate’s skills, experience, and qualifications. Geographic differentials may apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

New Hire Incentive Bonus! UniFirst’s Whippany, NJ location is now offering an incentive bonus for $1,000 new hires. The following guidelines must be met to be eligible: • New hire must reach 90 days of employment to receive the full incentive bonus., • New hire must abide by UniFirst’s 90-Day Probationary Period. This includes meeting UniFirst’s attendance and performance policy., • New hire must not have been previously employed by UniFirst. Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Supervisor to join our UniFirst community! As the Maintenance Supervisor you will ensure all facility equipment is efficiently functioning and identify areas to improve processes, procedures, maintenance practices and on-going training for all maintenance staff. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds because we believe it takes many kinds of people to make us successful. What you’ll be doing: • Diagnose mechanical and electrical problems and determine corrective action by checking blueprints, schematics, repair manuals and parts catalogs., • Inspect, operate, and test machinery and equipment to diagnose machine malfunctions., • Performing basic welding activities to effect repairs on facilities and equipment., • Troubleshoot and repair Programmable Logic Controllers (PLC’s) and associated control systems., • Perform and assign all preventive maintenance on facility and production assets., • Follow blueprints, schematics, operations manuals, manufacturer’s instructions, and engineering specifications using a documented schedule., • Perform boiler chemical and wastewater pre-treatment system testing, record results in logbooks / computer systems and make necessary chemical adjustments as required., • Manage and assign all equipment maintenance, including repairs which cannot be completed during standard hours., • Assume responsibility for all shifts in the maintenance department., • Oversee and implement all maintenance related regulatory and environmental compliance requirements., • Assume responsibility for all aspects of safety within the maintenance department., • Perform Confined Space and Lockout / Tagout procedures where appropriate., • Monitor training status of technicians and provide time for required training as needed., • Utilize a Computerized Maintenance Management System., • Partner with the Production Manager to develop, manage and maintain budget for building, equipment, capital expenditures and parts/labor., • Train and develop maintenance partners., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school and/or GED is preferred., • Two-year technical degree in an appropriate background is preferred., • Must be at least 21 years of age., • Valid driver’s license and a safe driving record are required., • Must pass UniFirst’s maintenance knowledge assessment to be eligible for employment., • Knowledgeable in maintenance equipment. This includes wiring, electrical, mechanical, electronic components, pipe systems and plumbing required., • Minimum of 3 years of work experience repairing industrial processing equipment in a production environment required. Applicable military experience will be considered., • Minimum of 2 years of experience supervising maintenance personnel is preferred., • Maintenance administration experience including planning, scheduling, budgeting, negotiating, parts management, vendor management, maintenance management systems is required., • Ability to read blueprints and schematics is required., • Ability to read and understand maintenance literature printed in English required., • Proficiency in Microsoft Office skills is required., • Experience in Hand & Power tools is required., • Lockout / Tagout experience is required, • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated salary for this position ranges from $82,426.14 to $114,480.75 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 1.5-billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 13,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. There’s a lot to love about UniFirst, where you come first. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Job Description State of Location: New Jersey Position Summary: As an outpatient orthopedic clinician, you will have the opportunity to work with patients varying in age and diagnosis based on each clinic's specialty. Our treatment sessions are individualized, allowing a patient-centered focus and approach. Ivy's rewarding work environment allows collaboration and mentorship while maintaining autonomy and growth that is specific to each of our clinicians' passions and expertise. Job Description: Position: Full-time Physical Therapist License Required: Yes – Active or Pending License as a Physical Therapist Education Required: Graduate of an accredited Physical Therapy program Our Location: Saddle River, NJ (558 Crecent Ave) Base Compensation Range: $90,000.00 - $105,000.00 annually Additional Compensation: Bi-weekly clinician bonus plan + lifetime uncapped student loan repayment or a competitive sign-on bonus (up to $10K) to kick off your new role! Join Ivy Health's dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Why Choose Ivy Health? • Exceptional Workplace: A prestigious honor to be recognized by Gallup as an Exceptional Workplace, recognizing the most engaged workplace cultures in the world., • Intelligent Documentation: With the utilization of ScribeIQ (an AI documentation tool), clinicians can expect a significant reduction in their normal documentation time, allowing them to spend more quality time with patients and keeping their notes AT work., • Innovative Resources & Mentorship: Access to abundant resources, robust mentorship, and career advice for unparalleled success., • Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes., • Exceptional Partnerships: Collaborate with leaders like Hospital for Special Surgery (HSS) and educational partners for continuous learning., • A Culture of Connection and Support: Enjoy access to Teammate Resource Groups (TRGs) including Pride, Military, Career Development, and Wellness & Work-Life Balance, plus the Teammate Financial Assistance Fund, a well-structured onboarding experience, and a large nationwide community of like-minded professionals., • Advance Your Career: Take advantage of opportunities in clinic ownership, travel assignments, residency and fellowship programs, mentoring, leadership roles, non-clinical career paths, and much more! Benefits (effective the first of the month following your start date): • Medical, dental, vision, and pet insurance, • Commuter benefits (pre-tax benefit), • Short-term and long-term disability, • Employee Assistance Program (EAP) + discount program, • Complimentary therapy services, • 401(k) with company match, • Up to 20 PTO days, 6 holidays off, 2 CEU days off, and CEU reimbursement annually, • Ivy-funded NPTE prep course, • Paid Maternity & Parental Leave (eligibility after 26 weeks) The compensation range listed reflects the good faith estimate of pay this organization reasonably expects to offer for this position at the time of posting. Actual compensation will be determined based on relevant factors including skills, experience, qualifications, and work location. This range applies to the base salary or hourly rate only and does not include bonuses, benefits, or other forms of compensation that may be offered. We do not inquire about salary history as part of our hiring process. #LI-KS1 #ortho3008 We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyhealth.com

\n • Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure.\n, • Perform z/OS systems programming, upgrades, maintenance, patching, and configuration.\n, • Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services.\n, • Troubleshoot complex mainframe system, performance, connectivity, and production issues.\n, • Support IPL processes, system availability, capacity, and performance monitoring.\n, • Partner with application, storage, network, security, database, and production support teams.\n, • Participate in incident, problem, change, and release management.\n, • Maintain technical documentation and operational procedures for the mainframe environment.\n\n Required Skills \n\n • 5+ years of Mainframe Infrastructure / Systems Programming experience.\n, • Strong hands-on experience with IBM z/OS.\n, • Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB.\n, • Experience supporting large enterprise production mainframe environments.\n, • Strong troubleshooting and root-cause analysis skills.\n, • Experience supporting highly available, business-critical systems.\n, • Strong communication and technical documentation skills.\n\n Preferred Skills \n\n • CICS, DB2, and/or IMS\n, • RACF, ACF2, or Top Secret\n, • VTAM / TCP/IP\n, • DFSMS / HSM\n, • Mainframe storage and capacity management\n, • ServiceNow and ITIL environments\n, • Banking or financial services experience\n\n Ideal Candidate \n The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position. The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. \n Ideal Profiles / Target Talent \n\n • z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments.\n, • Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience.\n, • CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience.\n, • Mainframe Security Engineer with RACF, ACF2, or Top Secret experience.\n, • Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience.\n, • Candidates coming from large banking or financial-services mainframe environments are highly preferred.\n\n Primary Sourcing Titles \n Mainframe Systems Programmer | z/OS Systems Programmer | Mainframe Infrastructure Engineer | IBM Z Systems Engineer | Mainframe Systems Engineer | Senior Mainframe Engineer | CICS Systems Programmer | Mainframe Storage Engineer \n Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development. \n

Role: PeopleSoft HCM / Benefits Functional Consultant \n Location: Manhattan, NY - Onsite \n Duration: Long-term \n \n Position Summary \n We are seeking an experienced PeopleSoft HCM / Benefits Functional Consultant to support a PeopleSoft HCM 9.2 implementation for a financial services client in Manhattan. The consultant will lead functional activities related to Core HR, Benefits Administration, and related HCM processes, working closely with HR leadership, benefits administrators, technical teams, and project stakeholders. \n Key Responsibilities \n ·Lead functional design, configuration, testing, and implementation activities for PeopleSoft HCM 9.2 Core HR and Benefits Administration. \n ·Conduct requirements-gathering sessions and facilitate workshops with HR and Benefits stakeholders. \n ·Configure and support PeopleSoft HR, Base Benefits, Benefits Administration, and eBenefits functionality. \n ·Define benefits eligibility rules, event processing, enrollment configurations, and benefits program structures. \n ·Support annual open enrollment, life events, and benefits-related business processes. \n ·Develop functional design documents, configuration workbooks, business process flows, and testing scenarios. \n ·Collaborate with technical developers on interfaces, customizations, reports, and data conversion requirements. \n ·Support integration between Benefits Administration, Payroll, and external benefits providers. \n ·Execute system integration testing, user acceptance testing, and defect resolution. \n ·Assist with data validation, conversion, cutover planning, and post-production stabilization. \n ·Provide guidance on PeopleSoft delivered functionality and recommend opportunities to streamline business processes. \n Required Qualifications \n ·15+ years of PeopleSoft HCM functional consulting experience. \n ·Multiple full-lifecycle PeopleSoft HCM implementations, including version 9.2. \n ·Strong functional expertise in Core HR, Base Benefits, and Benefits Administration. \n ·Experience with eBenefits, enrollment processing, eligibility rules, and benefits event management. \n ·Understanding of benefits deductions and integration with North American Payroll. \n ·Experience preparing functional specifications, test scripts, and implementation documentation. \n ·Excellent communication and client-facing consulting skills. \n ·Ability to work onsite in Manhattan. \n Preferred Qualifications \n ·Experience supporting financial services or other highly regulated organizations. \n ·Familiarity with PeopleSoft Fluid applications, Employee Self Service, and Manager Self Service. \n ·Experience with Oracle PeopleSoft Update Manager (PUM). \n ·Knowledge of benefits carrier interfaces, ACA reporting, and regulatory requirements.

Role Overview: \n We are seeking a highly experienced Forward Deployed Engineer (FDE) to design, build, and deploy AI, Generative AI, Agentic AI, and data-driven solutions for Financial Services clients. This is a hands-on, client-facing role combining deep engineering expertise, solutioning and consulting experience, and an understanding of regulated financial environments. The FDE will translate complex business problems into secure, scalable, governed, production-ready solutions. \n Key Responsibilities: \n\n • Design and deploy GenAI, Agentic AI, LLM, RAG, copilots, intelligent workflows, and AI-enabled automation.\n, • Build production-quality solutions using Python, Java, SQL, APIs, cloud-native technologies, and modern AI frameworks.\n, • Demonstrate hands-on proficiency with AI-native engineering tools such as Claude Code, Devin, GitHub Copilot, Codex, Cursor, or equivalent platforms, using them to accelerate software engineering, testing, modernization, debugging, and delivery.\n, • Integrate AI models and agents with enterprise applications, APIs, data platforms, knowledge sources, and existing banking systems.\n, • Lead solutions from discovery and rapid prototyping through engineering, testing, deployment, and production transition.\n, • Partner directly with business, engineering, architecture, data, security, risk, and compliance stakeholders to convert ambiguous problems into implementable solutions.\n, • Design for security, privacy, access control, human oversight, data lineage, observability, traceability, auditability, and responsible AI.\n, • Create reusable engineering patterns and accelerators and coach client teams on AI-enabled engineering practices.\n\n Required Qualifications: \n\n • 15+ years of overall experience across software engineering, data engineering, AI/ML, enterprise technology, or related areas.\n, • 10+ years of consulting, advisory, solution engineering, architecture, or client-facing technology delivery experience, preferably with large enterprise clients.\n, • Strong hands-on engineering experience with Python/Java, SQL, APIs, distributed systems, data platforms, and Azure, AWS, or GCP.\n, • Practical experience designing and delivering GenAI/LLM applications, RAG solutions, AI agents, prompt engineering, tool/function calling, orchestration, evaluation, and model integration.\n, • Demonstrated proficiency with Claude Code, Devin, GitHub Copilot, Codex, Cursor, or similar AI-assisted/agentic development tools, with the ability to apply them across the SDLC.\n, • Proven ability to take complex solutions from POC → pilot → secure, scalable production deployment.\n, • Strong executive and technical communication skills, with the ability to operate effectively across business and engineering stakeholders.\n\n

Senior Software Engineer – Azure / Microsoft 365 \n Work Arrangement: Onsite \n Location: Downtown, NY (Financial District) \n Interview Process: 2 Rounds (1st video, 2nd In Person) \n Industry: Financial Services \n Pay rate: $75.00 to $100.00 per hour on W2 (10 years of experience) \n Must be legally authorized to work in the US. We are unable to provide visa sponsorship now or in the future for this position. \n \n No C2C or third-party candidates \n \n Position Overview \n We are seeking a highly skilled Senior Software Engineer with strong hands-on development experience in Microsoft Azure, SPFx, TypeScript, and React. \n This is a technical engineering and architecture role requiring the ability to independently develop, deploy, and support Azure-based enterprise applications. \n This is not a Power Platform-only or low-code development position. \n Key Responsibilities \n\n • Develop custom SPFx applications using TypeScript and React.\n, • Build and deploy Azure Functions using C# or TypeScript/JavaScript.\n, • Develop solutions using Azure App Services, Logic Apps, and REST APIs.\n, • Integrate Microsoft 365, SharePoint lists/libraries, and enterprise applications.\n, • Develop and support Power Apps and Power Automate solutions.\n, • Design, troubleshoot, and deploy secure, scalable Azure applications.\n\n Required Technical Skills \n\n • SPFx, TypeScript, React: Strong hands-on coding, debugging, and development experience.\n, • Azure Functions: Proven development experience using C# or TypeScript/JavaScript.\n, • Azure App Services and Logic Apps: Experience developing and deploying Azure solutions.\n, • REST APIs: Experience with enterprise application integrations.\n, • Power Platform: Working experience with Power Apps and Power Automate.\n, • Architecture: Ability to independently design and deliver enterprise applications.\n\n Preferred Qualifications \n\n • Microsoft Copilot Studio, Azure AI Foundry, or agentic AI development.\n, • AI proof-of-concept development experience.\n, • Microsoft Graph API integration experience.\n\n Interview Process \n Candidates should be prepared for technical coding assessments covering SPFx and Azure Functions. A final onsite interview is required. \n Ideal Candidate \n A hands-on senior software engineer with strong TypeScript/React and Azure development expertise who can independently write code, troubleshoot applications, and deploy cloud solutions. Candidates focused primarily on low-code Power Platform development will not be considered.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. \n \n We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. \n \n The Staff Engineer Role \n We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. \n \n This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. \n \n You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. \n \n The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. \n \n If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. \n \n What You Will Do \n Frontend Architecture \n\n • Build scalable frontend platforms using React, Next.js, and TypeScript.\n, • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns.\n, • Develop reusable component systems and scalable frontend frameworks.\n\n \n Backend Engineering \n\n • Build backend services using Node.js and NestJS.\n, • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems.\n, • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability.\n\n \n Event-Driven & Distributed Systems \n\n • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems.\n, • Build services that process high-volume financial events and real-time trading data.\n\n \n Cloud & Infrastructure \n\n • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments.\n, • Design infrastructure that supports resilient, scalable distributed systems.\n\n \n What Sets You Apart \n We are looking for engineers who demonstrate several of the following: \n \n\n • You have designed and operated event-driven distributed systems that process high-volume real-time data.\n, • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews.\n, • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production.\n, • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar.\n, • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability.\n, • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure.\n, • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote.\n, • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making.\n, • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious.\n\n \n Technology Ecosystem \n Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3 \n Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM \n Event-Driven: Kafka, Azure Service Bus, Azure Event Grid \n Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux \n Data: SQL, NoSQL, Azure Data Fabric \n \n Compensation: $75 - $85 / Hour \n \n Our Process \n\n • 15-minute video call with someone from our team\n, • 4 Proctored GQ Tests (under 2 hours)\n, • 30–45-minute final video interview\n, • Job offer\n\n \n If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. \n \n At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution \n \n Job Description \n \n We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. \n This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. \n You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. \n Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. \n We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. \n \n Key Responsibilities \n Hands-on Software Engineering & Architecture \n\n • Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies.\n, • Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development.\n, • Build complex microservices-based architectures, distributed systems, and event-driven applications.\n, • Develop full-stack solutions with strong backend capabilities and practical frontend development experience.\n, • Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support.\n, • Lead technical implementation while remaining actively involved in writing and reviewing code.\n, • Develop reusable components, APIs, integrations, and enterprise application frameworks.\n, • Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects.\n\n \n Backend, Frontend & Full-Stack Development \n\n • Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies.\n, • Design and implement RESTful APIs, microservices, and enterprise integrations.\n, • Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS.\n, • Integrate frontend applications with backend services and enterprise platforms.\n, • Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies.\n, • Implement authentication, authorization, security, and API integration patterns.\n, • Ensure application performance, maintainability, reliability, and scalability.\n\n \n Microservices & Cloud-Native Engineering \n\n • Design and implement microservices architectures and distributed application platforms.\n, • Work with messaging and event-streaming technologies such as Apache Kafka.\n, • Build asynchronous processing, event-driven integrations, and resilient distributed services.\n, • Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions.\n, • Deploy and operate applications on AWS, Azure, or GCP.\n, • Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.\n, • Apply observability practices using logging, monitoring, tracing, and performance management tools.\n, • Understand cloud-native architecture, scalability, availability, and system reliability.\n\n \n AI & Agentic Engineering \n\n • Explore and implement AI-powered enterprise applications and intelligent workflows.\n, • Integrate LLMs and AI capabilities into existing enterprise applications and platforms.\n, • Develop AI agents, tool-calling workflows, and agent orchestration capabilities.\n, • Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations.\n, • Identify opportunities to apply AI and automation to solve client business and technology challenges.\n, • Build practical prototypes and take successful AI solutions through production implementation.\n\n \n Client Consulting & Strategic Account Growth \n\n • Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders.\n, • Understand client technology environments, business priorities, and strategic challenges.\n, • Translate business problems into technical solutions and actionable engineering roadmaps.\n, • Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops.\n, • Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption.\n, • Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value.\n, • Build trusted relationships with client stakeholders and contribute to long-term account growth.\n, • Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials.\n, • Collaborate with leadership and account teams to shape new opportunities and support business development.\n\n \n Required Technical Expertise \n Java & Backend Engineering \n\n • Extensive hands-on experience with Java and Spring Boot.\n, • Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization.\n, • Experience with REST APIs, Hibernate, JPA, and enterprise application development.\n, • Strong knowledge of backend architecture and enterprise integration patterns.\n\n Full-Stack Development \n\n • Experience building frontend applications using React, JavaScript, and TypeScript.\n, • Ability to independently work across backend and frontend components.\n, • Strong understanding of API integration and application architecture.\n\n Microservices & Distributed Systems \n\n • Deep experience designing and implementing microservices architectures.\n, • Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing.\n, • Understanding of scalability, resiliency, fault tolerance, and high-availability architecture.\n\n Cloud & DevOps \n\n • Experience with AWS, Azure, or GCP.\n, • Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.\n, • Familiarity with Terraform or other infrastructure-as-code tools is preferred.\n\n AI & Modern Engineering \n\n • Exposure to LLM integrations, generative AI, AI agents, and agentic workflows.\n, • Experience integrating AI capabilities into enterprise software is highly desirable.\n\n \n Required Consulting & Client Engagement Experience \n\n • Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory.\n, • Demonstrated experience delivering technology solutions for external enterprise clients.\n, • Ability to manage multiple technical stakeholders and work across different client environments.\n, • Strong executive communication and presentation skills.\n, • Ability to identify additional technology opportunities and contribute to account expansion.\n, • Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve.\n\n \n Qualifications \n\n • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.\n, • Significant professional software engineering experience, ideally 8+ years.\n, • Extensive hands-on Java and backend engineering experience.\n, • Proven experience building enterprise-grade microservices and distributed systems.\n, • Full-stack development experience with modern frontend frameworks.\n, • Previous consulting or professional services experience is mandatory.\n, • Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred.\n\n \n What Success Looks Like \n\n • You can independently design, code, and deliver complex enterprise applications.\n, • You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices.\n, • You can engage with client engineering teams and senior executives with equal confidence.\n, • You identify opportunities to solve broader client challenges beyond the immediate assignment.\n, • You help strengthen client relationships and contribute to expanding strategic accounts.\n, • You take ownership of solutions from initial discovery through architecture, implementation, and production deployment.\n\n \n Who Should Apply? \n We are looking for engineers who are not limited to writing code against predefined requirements. \n You should be someone who can understand a client's business, challenge existing technical approaches, design better architectures, build production-ready solutions, and work with stakeholders to identify the next opportunity. \n We want engineers who can build the technology, lead the technical conversation, and help grow the business. \n \n Compensation: $80-$95 /hr \n \n Additional Benefits: PTO & Health Insurance \n \n Our Hiring Process \n\n • 15-minute introductory call with Intellibus leadership\n, • Proctored GQ assessment + Slideware (presentation) evaluation\n, • Technical & Delivery Leadership Interview (30–45 min)\n, • Executive Interview\n, • Offer\n\n \n If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

About Asseta \n \n Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite®, enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. \n \n Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. \n \n The Opportunity \n \n Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite™, owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. \n \n As a Senior Software Engineer, You Will \n \n\n • Design, build, and ship features across the platform, from backend services to polished user-facing experiences\n, • Own significant product areas end-to-end, scoping, implementation, testing, and delivery\n, • Build and maintain integrations with banking and third-party systems\n, • Write clean, well-tested, maintainable code and participate actively in code review\n, • Collaborate with product and implementation teams to turn family office workflows into reliable software\n, • Contribute to architecture decisions and help continuously improve engineering practices\n, • Help uphold high standards for security, performance, and data integrity across the platform\n\n \n Qualifications \n \n\n • 4+ years of professional software engineering experience building and shipping production software\n, • Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript\n, • Experience building scalable, cloud-native SaaS products, ideally on AWS\n, • Solid understanding of databases, distributed systems, testing, and secure coding practices\n, • Ability to work independently, own features end-to-end, and collaborate across functions\n, • Excellent communication and problem-solving skills\n, • Experience in fintech, accounting software, or family office/wealth management is a plus\n\n \n Compensation and Benefits \n \n Asseta offers competitive compensation along with a benefits package that includes: \n \n\n • Base salary of $150,000–$225,000\n, • Equity plan eligibility\n, • Comprehensive health, dental, and vision coverage\n, • Unlimited paid time off\n, • Conference sponsorships and training opportunities\n, • Frequent company off-sites and team-building events\n, • On-site at our New York City headquarters\n

Our client, a leading financial services firm, is seeking a highly organized and detail-oriented Learning & Development Operations Coordinator to support the delivery and continuous improvement of global Learning & Development programs. This individual will be responsible for coordinating training logistics, managing participant communications, maintaining program data, and supporting day-to-day training operations. \n \n Key Responsibilities: \n\n • Session Preparation & Logistics: Coordinate training logistics, including booking conference rooms, preparing materials, ordering catering, and processing vendor contracts.\n, • Participant Communications: Manage training registrations, send session reminders, and create and update calendar invitations.\n, • Data Management & Reporting: Maintain attendance records, compile and analyze participant feedback, update dashboards and trackers, and manage distribution lists and participant rosters.\n, • Contract & Vendor Management: Coordinate with external vendors, track contracts, and ensure timely payment processing.\n, • Website & SharePoint Management: Maintain training resources, update session information, upload materials, and manage the firm's training calendar.\n\n Qualifications & Desired Skills: \n\n • Strong project management and organizational skills with exceptional attention to detail.\n, • Excellent written and verbal communication skills.\n, • Self-motivated, proactive, and eager to learn.\n, • Collaborative and adaptable, with a willingness to receive and apply feedback.\n, • Advanced proficiency in Microsoft Office, particularly Excel and Outlook.\n, • Ability to manage multiple priorities and work effectively in a fast-paced environment.\n

About the job \n \n TS Imagine, the world's leading provider of on-demand trading and risk management solutions for the financial services industry, is looking for an experienced Sales Director for the North America region. \n \n We are hiring senior-level Sales Director in New York that consistently surpass annual revenue quota; experienced in the financial markets, enterprise software and/or asset management solutions. The Sales Director is directly responsible for qualifying, developing and closing new accounts. \n \n TS Imagine is the global leader in solutions portfolios spanning the front, middle and back-office into asset management, insurance and wealth management firms. Join a growing team of passionate, self-motivated, talented, smart and creative people who are seeking to extend our position as the leader in the FinTech industry. \n \n Who will love this job \n \n An intellectually curious salesperson – who has knowledge of wealth management tech, electronic trading or risk management and enjoys working with clients to create thoughtful solutions to their business challenges. \n A doer – who is enthusiastic about tackling new challenges, carrying a broad spectrum of responsibility that produces high-quality results.· \n An excellent teammate – you appreciate the daily operations of a global, highly distributed organization that delivers mission critical technology. \n \n What you’ll do \n \n\n • Drive net new software and services revenue from a named account territory of the largest Wealth Managers, Hedge Funds, Institutional Asset Managers (including Insurance and OCIO’s), and Institutional Asset Owners (including Pensions, SWF’s and Endowments)\n, • Manage numerous opportunities to close with accurate qualification and forecasting hygiene\n, • Build and leverage the necessary relationships in highly complex organizations to ensure deal closure in competitive situations.\n, • Build Territory, Account & Opportunity plans for predictable and consistent revenue growth\n, • Drive complex sales-cycles and execute with the gravitas of presenting to C-level key decision-making executives the value of the full platform features with a detailed, consultative, “Challenger” approach\n, • Closely manage quarterly pipeline velocity and forecasts to provide accurate reporting to key internal partners on a consistent basis\n, • Work collaboratively with other company executives, managers, and team members to help nurture our results-driven, team-oriented environment\n\n \n You should have \n \n\n • Bachelor's degree required\n, • Minimum 5+ years of quota carrying enterprise software quota in financial services technology sales or similar\n, • Ideally experience selling Wealth Management Solutions or BuySide Software\n, • Consistent, proven sales success in overachieving quota\n, • Self-directed “extreme ownership” mentality\n, • Previous experience selling software to the financial services industry\n, • Proven ability to expertly manage the sales cycle from beginning to end\n, • Drive for high achievement and results\n, • A proven record for selling complex solutions and services at the “Business Head” and "C" level\n, • Exceptional ability to motivate and influence key contacts and decision-makers\n, • Consistent, year on year, high-performance track record\n, • Customer focus\n, • Team Player attitude\n\n

iWorld Professionals is seeking a Managing Director of Tax Advisory for our client, a leader in providing financial and accounting advisory services in New York City. \n \n Director of Tax Advisory Position Summary: \n Be a part of a fast-growing, purpose-driven financial and tax advisory organization that is scaling rapidly and expanding its leadership team. This is a unique opportunity for a senior tax professional to step into a high-impact Managing Director role with the ability to shape strategy, mentor future leaders, and work closely with entrepreneurial clients. \n This role is ideal for someone who enjoys both technical depth and strategic influence, thrives in a collaborative environment, and is motivated by growth, innovation, and building something meaningful. \n \n Managing Director of Tax Advisory Responsibilities: \n\n • Lead the delivery of high-quality, personalized tax advisory and compliance services\n, • Partner with senior leadership to shape the direction and growth of the Tax Advisory practice\n, • Serve as a trusted advisor to entrepreneurial businesses, executives, and high-net-worth individuals\n, • Oversee engagement performance including quality, profitability, and efficiency\n, • Collaborate with operations, finance, and leadership teams on staffing, forecasting, and resource planning\n, • Guide client onboarding, engagement economics, and service delivery models\n, • Mentor, develop, and grow high-performing tax professionals\n, • Ensure compliance with quality, risk, and regulatory standards\n, • Leverage technology and analytics to improve workflows, insights, and efficiency and continuous process improvement\n\n \n Managing Director of Tax Advisory Requirements: \n\n • 10+ years of progressive tax experience with proficiency in preparing and reviewing S Corp and trust tax returns. CPA required.\n, • Background advising high-net-worth individuals, closely held businesses, and multi-entity structures\n, • Experience working with entrepreneurs, emerging growth companies, or family offices preferred\n, • Prior client-facing leadership experience\n, • Strong knowledge of federal, state, and local tax\n, • Experience with individuals, partnerships, trusts, and S-corps\n, • Exposure to complex tax strategies such as entity structuring, deferred compensation, and transactions\n, • Proven ability to lead, mentor, and build high-performing teams with a solutions-oriented mindset\n, • Strong communicator who can translate complex tax topics clearly\n, • Entrepreneurial, collaborative, and growth-focused\n\n \n Excellent executive compensation package based on experience plus comprehensive executive benefits package and equity. Apply today to iWorld Professionals for immediate confidential consideration.

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we're passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. We also believe in working smarter, using AI and emerging technologies to move faster, operate more efficiently, and focus our time on solving meaningful problems for our customers. \n \n As a key member of the Dev Leverage team, you will own the path our engineers use to ship. That path is shared CI/CD, trunk-based delivery, and a default way to start a new service. The estate is real and mixed: Go and other languages, GitHub Actions and remaining CircleCI, Kubernetes on AWS, and a trunk standard we are still rolling out. We are looking for engineers who like building the tool everyone else uses, and who are careful when a one-line workflow change can land on many teams at once. \n \n This position operates on a hybrid schedule, requiring you to be on-site in our New York office at least three days per week to work with stakeholders and foster team collaboration. \n \n What you'll do: \n\n • Design, build, and maintain the shared CI/CD workflows Stash services use to test and deploy.\n, • Move services onto trunk-based delivery: one main branch, squash merges, and one immutable artifact promoted from edge to staging to production.\n, • Replace one-off pipelines with a paved road: reusable GitHub Actions, a default path for a new service, and docs that match the workflow that runs.\n, • Keep that path reliable. Runners, failed jobs, and deploy health need a clear owner when something breaks.\n, • Partner with application teams, infrastructure, and security so the standard stays safe and teams can adopt it without a bespoke design.\n, • Use AI coding tools to migrate and implement faster, and keep review and production gates in place so generated changes stay safe.\n, • Debug, test, and document the workflows themselves. A change here is a change for many teams.\n\n \n What we're looking for: \n\n • 3 to 5 years of professional experience in backend or platform engineering.\n, • Proof you have owned CI/CD other people use. GitHub Actions preferred. CircleCI or a similar system counts if you have built reusable workflows, promotions, and secrets handling.\n, • Strong proficiency in Go, or deep experience in another backend language (TypeScript, Ruby, Python, or Rails) with a willingness to work across stacks.\n, • Experience shipping with trunk-based development or continuous delivery, including immutable artifacts and environment promotion.\n, • Hands-on experience with cloud platforms (AWS) and containers.\n, • A habit of measuring blast radius before you merge. You have broken a shared system before, and you changed how you work because of it.\n, • Excellent problem-solving skills and a mindset for continuous improvement.\n, • Clear writing. App teams will follow your workflow only if the docs and the pull request explain the why.\n\n \n Gold Stars: \n\n • Terraform and Argo CD.\n, • Package registries such as Artifactory or GitHub Packages.\n, • Datadog or similar observability for CI and deploys.\n, • A migration you led off a legacy CI system.\n, • Familiarity with banking or fintech systems.\n\n

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

About Asseta \n \n Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on platform. Our flagship product, the Intelligent Family Office Suite®, enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. \n \n Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. \n \n The Opportunity \n \n You’ll build features and solve complex technical problems. You’ll help improve how our team works and give input on technical decisions with the engineering lead. If you enjoy building systems, not just features, you'll thrive here. \n \n What You'll Own \n \n Technical Architecture \n\n • Drive architecture across frontend, backend, infrastructure, AI services, and shared platform components.\n, • Design systems that remain maintainable as our product and engineering team scale.\n, • Balance pragmatic delivery with long-term technical sustainability.\n, • Lead technical design reviews and architectural decision making.\n\n \n Engineering Excellence \n\n • Establish coding standards and engineering best practices.\n, • Improve consistency across services, APIs, and shared libraries.\n, • Raise the overall quality of the codebase through thoughtful reviews and mentorship.\n, • Improve observability, testing, performance, reliability, and developer experience.\n\n \n Technical Leadership \n\n • Mentor engineers through architecture discussions, design reviews, and pair programming.\n, • Help engineers grow into stronger software architects.\n, • Guide implementation without becoming a bottleneck.\n, • Foster a culture of ownership, curiosity, and continuous improvement.\n\n \n Platform Development \n \n You'll help shape systems including: \n \n\n • AI agent infrastructure\n, • Enterprise accounting platform\n, • Banking integrations\n, • Workflow automation\n, • Real-time collaboration\n, • Enterprise security\n, • Multi-tenant architecture\n, • Infrastructure automation\n, • Shared developer frameworks\n, • Internal platform tooling\n\n \n What We're Looking For \n \n Required \n \n\n • 8+ years of professional software engineering experience.\n, • Experience leading technical architecture across complex software platforms.\n, • Strong backend engineering experience with Python and modern API design.\n, • Experience building scalable cloud-native systems on AWS.\n, • Strong understanding of distributed systems, databases, asynchronous processing, and system reliability.\n, • Experience designing maintainable APIs and shared platform services.\n, • Ability to simplify complex technical problems.\n, • Excellent communication skills with both engineers and business stakeholders.\n, • A passion for mentoring other engineers.\n\n \n Nice to Have \n \n Experience with: \n \n\n • AI platforms and agent-based systems\n, • Financial software or accounting platforms\n, • Multi-tenant SaaS architecture\n, • Infrastructure as Code (Terraform)\n, • PostgreSQL\n, • OpenSearch or Elasticsearch\n, • React and TypeScript\n, • Docker, ECS, Kubernetes, or containerized infrastructure\n, • Event-driven architectures\n, • Enterprise security and compliance\n\n \n Compensation and Benefits \n \n Asseta offers competitive compensation along with a benefits package that includes: \n\n • Base salary of $200,000–$350,000\n, • Equity plan eligibility\n, • Comprehensive health, dental, and vision coverage\n, • Unlimited paid time off\n, • Conference sponsorships and training opportunities\n, • Frequent company off-sites and team-building events\n, • On-site at our New York City headquarters\n

Head of Portfolio Architecture, Corporate Functions Direct Hire (Base + Bonus) Work Location (Hybrid): 3 days/week onsite — New York, NY, Holmdel, NJ, or Bethlehem, PA We’re prioritizing candidates with: \n\n • Insurance industry architecture leadership experience\n, • Architecture & technology alignment at portfolio scale (not just solution design)\n, • Strong governance mindset that enables speed, not blocks it\n, • Executive presence and proven ability to influence investment/roadmaps \nKey Responsibilities Portfolio Architecture Leadership \n\n • Drive cohesive architecture across multiple value streams, ensuring end-to-end design consistency across platforms, products, and capabilities.\n, • Own the Corporate Functions target-state architecture, portfolio roadmap, architecture priorities, and investment influence.\n, • Advance modern platform architecture across cloud, data, integration, and AI capabilities.\n, • Improve engineering productivity and delivery speed by defining architecture patterns, guardrails, and operating models that scale.\n, • Partner with Solution Architects to establish scalable patterns and with enterprise architecture leadership for cross-portfolio alignment and trade-offs.\n, • Serve as the primary architecture advisor to the Corporate Functions digital/technology leadership team, shaping strategy, priorities, and transformation sequencing.\n, • Manage and develop a team of Solution Architects; raise architecture maturity across the portfolio.\n, • Be available for high-impact production incidents affecting business operations. \nInvestment & Roadmap Influence \n\n • Shape and influence strategic investments across Corporate Functions (HR, Legal, Finance, Risk, Investments).\n, • Guide architecture across core enterprise platforms such as Workday, Oracle, and ServiceNow, plus integration/API ecosystem enablement.\n, • Balance near-term delivery commitments with long-term sustainability.\n, • Identify opportunities to reduce technical debt, increase reuse, and accelerate time-to-market—driving simplification across business units, not just within the portfolio. \nEnd-to-End Enterprise / Insurance Architecture Ownership \n\n • \n Drive holistic architecture across: \n \n • Business processes and operating value streams\n, • Core and surrounding application ecosystems\n, • Integration and event-driven architectures\n, • AI/ML use cases (e.g., underwriting/claims automation, fraud, personalization)\n, • Digital experiences for customers, distribution partners (agents/brokers), and internal users\n \n, • Ensure solutions meet regulatory, risk, security, privacy, and resiliency requirements (e.g., SOX/SOC expectations, data privacy).\n, • Promote cloud-native, API-first, data-centric, and AI-enabled patterns where appropriate. \nGovernance, Risk & Compliance \n\n • Define/enforce architecture principles and guardrails aligned to enterprise standards and insurance regulatory expectations.\n, • Lead or participate in architecture review and governance forums; ensure decisions are auditable and practical.\n, • Partner with security, risk, compliance, and legal stakeholders to support operational resilience and auditability. \nStakeholder & Leadership Engagement \n\n • Act as a trusted advisor to Corporate Functions leaders and senior technology leadership.\n, • Represent architecture trade-offs in enterprise forums and influence outcomes across business units.\n, • Communicate architectural direction, risks, and trade-offs clearly to technical and non-technical audiences.\n, • Mentor and develop architects across the portfolio. \nRequired Qualifications \n\n • 7+ years in technology/architecture roles, with significant experience in the insurance industry (or similarly regulated financial services with deep insurance exposure).\n, • Proven experience as a Portfolio / Domain / Product / Enterprise Architect in a large, regulated environment.\n, • Deep understanding of insurance operations and systems (policy, underwriting, claims, billing, distribution) and how they connect to enterprise platforms.\n, • Strong knowledge of Corporate Functions ecosystems: HR, Legal, Finance, Risk, Investments.\n, • Expertise across enterprise architecture domains: business, application, data, integration, AI, and digital.\n, • Demonstrated success influencing senior leaders on technology strategy and investment decisions.\n, • Strong knowledge of cloud platforms, modern integration patterns, data platforms, and applied AI capabilities.\n, • Solid grasp of regulatory, risk, compliance, and resiliency expectations in regulated environments. \nEstimated Min Rate: $168000.00\n Estimated Max Rate: $240000.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Pay: $105,000.00 - $110,000.00 per year Job description: Registered Nurse (RN) – Home Health | Bronx County, NY & Manhattan County, NY Full-Time | Fee-for-Service| Salary starting at $105,000 / $105 per visit! Looking for your next great opportunity in home health care? This is it. At Royal Care, we’re committed to helping our patients recover safely and comfortably at home — while giving our nurses the flexibility, pay, and support they deserve. We’re actively hiring Registered Nurses (RNs) across Bronx County, NY Why You’ll Love Royal Care Top Pay + Benefits: Competitive salary starting at $105,000/year or $105 per visit, plus 401k, health, dental, and vision insurance. Flexible Scheduling: Choose full-time, part-time, or per diem — we’ll work with your lifestyle. Supportive, Family-Like Culture: Be part of a team that values you as much as our patients. Referral Bonuses: Bring great nurses into the fold and earn extra. Career Growth: We invest in your skills and future. What You’ll Do Deliver high-quality home health nursing visits across varied patient needs. Handle cases such as Start of Care, Resumption of Care, Wound Care, Pediatrics, and Recertifications (higher pay for complex visits). Collaborate with physicians and care teams for seamless continuity of care. Document visits via tablet within 24–48 hours. Stay compliant with DOH regulations while delivering compassionate, culturally sensitive care. What You’ll Need Active New York RN License Reliable transportation + valid driver’s license Experience with OASIS assessments (preferred) Home care or acute care experience (preferred) Knowledge of Homecare Homebase (HCHB) is a plus Now Hiring In: Bronx County, NY Manhattan County, NY Additional Perks That Set Royal Care Apart 100% Premium Coverage for individual health insurance plans Melody Benefits Card: Earn up to $1.94/hour worked for expenses like childcare, phone bills, transportation, and more Paid Time Off: Up to 56 hours of paid sick leave + vacation time Aflac Supplemental Insurance: Disability, critical illness, accident coverage U@Perks Membership: Access wellness lounges with hair, nail, nutrition, and beauty services in NYC Flexible Pay Options + financial support tools Benefits: 401(k) Dental insurance Flexible schedule Health insurance Referral program Vision insurance Work Location: In person

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. Driving Technology Adoption, Consumption, and Growth Lumen is evolving how we sell by bringing deeper technology fluency, consultative discovery, and business-outcome conversations into every customer engagement. Our Acceleration and Growth team offers multiple distinct opportunities to help shape this journey while building your own expertise as a technology-focused seller. This is an opportunity to be part of meaningful change - help define how we engage, advise, and support customers as their technology needs become more complex. If you are energized by building trusted relationships, shaping a more consultative customer experience, and making a visible impact as our sales approach evolves, this role offers the chance to help lead that change. As an Account Director Senior Large Enterprise Forward Deployed, you will own growth across large, important, and potentially global enterprise accounts by translating customer business priorities into measurable outcomes enabled by Lumen’s network, cloud, security, managed services, and orchestration portfolio. As the Account Director Senior, you operate independently from acquisition through modernization, activation, adoption, consumption, and expansion. You set account strategy, shape and negotiate commercial terms, mobilize cross-functional resources, and advise executive stakeholders. Your broad command of customer economics, markets, technology, and complex buying environments makes you a trusted expert to customers and colleagues. • Own and execute a self-directed strategy for a portfolio of large, important, or global accounts, grounded in each customer’s business model, financial priorities, operating risks, technology estate, market context, and competitive position., • Anticipate needs before they become formal requirements; develop points of view and use cases that connect modernization to growth, efficiency, resilience, risk reduction, and innovation., • Build qualified pipeline through executive relationships, account intelligence, focused prospecting, partners, marketing, and business development., • Prioritize investments and resources based on customer potential, solution fit, buying signals, competitive dynamics, and revenue opportunity., • Lead discovery across executive, business, technical, operational, and financial stakeholders to define the problem, value at stake, decision path, and urgency to act., • Integrate relevant capabilities across Lumen and its partners into a coherent outcome; direct architects and specialists through clear commercial and customer objectives while they own technical design and validation., • Build quantified business cases covering expected value, investment, implementation requirements, risk, and cost of inaction., • Develop customers’ and colleagues’ understanding of business, market, and solution tradeoffs; influence executive sponsors, economic buyers, technical decision makers, and internal champions., • Own new-logo acquisition and expansion against assigned sales, revenue, and consumption goals., • Lead complex, high-value sales cycles through qualification, validation, pricing, negotiation, procurement, legal review, and close., • Exercise substantial commercial discretion—and, within company governance, full authority to shape and negotiate product, service, pricing, and contract terms., • Establish mutual action plans, decision criteria, stakeholder commitments, milestones, and activation dates; surface risks and dependencies early., • Plan and manage the account resource model, mobilizing sales, technical, delivery, customer success, channel, and partner teams without relying on formal authority., • Retain commercial ownership through implementation and activation; hold downstream partners accountable for customer readiness, delivery commitments, adoption, and value realization., • Use consumption data and customer signals to remove adoption barriers, address underutilization, anticipate revenue risk, and identify expansion across workloads, locations, and business units., • Convert demonstrated value into modernization, additional use cases, broader executive relationships, recurring revenue, and sustained growth., • Serve as a recognized expert across business, financial, market, customer, and portfolio domains; coach peers and contribute account insight that improves sales approaches and solution fit., • Activate channel and technology partners through joint targeting, account planning, and selling, with clear ownership and measurable outcomes., • Use AI, agents, and automated workflows to improve research, prioritization, outreach, follow-through, and opportunity management; validate outputs and apply sound judgment., • Maintain rigorous qualification, stakeholder maps, next steps, forecasts, and CRM records., • 8+ years of enterprise sales experience and sustained quota achievement, with evidence of performance at the scope and complexity described above., • Success acquiring and expanding large, important, or global enterprise accounts and closing complex deals with multimillion-dollar total contract value., • Broad expertise across customer business and financial drivers, enterprise technology markets, complex buying environments, and relevant solutions such as networking, cloud, security, managed services, or enterprise software., • Demonstrated authority and judgment in structuring and negotiating complex product, service, pricing, and contract terms with senior customer leaders., • Technical fluency to lead credible discovery, recognize solution opportunities, and direct architects and specialists effectively., • Experience planning account strategy independently and orchestrating colleagues and partners across the full customer lifecycle without formal authority., • Understanding of recurring-revenue and consumption-based models, including how activation, adoption, and usage create customer value and revenue growth., • Practical experience using AI and automation to improve sales execution, with disciplined validation of outputs., • Executive presence, sound judgment, and an ownership mindset; you make decisions, surface risk early, give direct feedback, and take responsibility for outcomes. This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $126,518 - $168,683 in these states: FL GA PA $132,847 - $177,122 in these states: NC $139,166 - $185,552 in these states:DC MA NJ NY VA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: _ _ #projectvelocity Requisition #: 344252 Life at Lumen Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. To learn more about Life at Lumen and how we live the Lumen 8, please visit: _ Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our _. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Privacy Notice Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: _ Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Job Description Pay: $105,000.00 - $110,000.00 per year Job description: Registered Nurse (RN) – Home Health | Queens County, NY Fee-for-Service| $105 per visit! Looking for your next great opportunity in home health care? This is it. At Royal Care, we’re committed to helping our patients recover safely and comfortably at home — while giving our nurses the flexibility, pay, and support they deserve. We’re actively hiring Registered Nurses (RNs) across Queens County, NY Why You’ll Love Royal Care Top Pay + Benefits: Competitive salary starting at $105 per visit, plus 401k, health, dental, and vision insurance. Flexible Scheduling: Choose full-time, part-time, or per diem — we’ll work with your lifestyle. Supportive, Family-Like Culture: Be part of a team that values you as much as our patients. Referral Bonuses: Bring great nurses into the fold and earn extra. Career Growth: We invest in your skills and future. What You’ll Do Deliver high-quality home health nursing visits across varied patient needs. Handle cases such as Start of Care, Resumption of Care, Wound Care, Pediatrics, and Recertifications (higher pay for complex visits). Collaborate with physicians and care teams for seamless continuity of care. Document visits via tablet within 24–48 hours. Stay compliant with DOH regulations while delivering compassionate, culturally sensitive care. What You’ll Need Active New York RN License Reliable transportation + valid driver’s license Experience with OASIS assessments (preferred) Home care or acute care experience (preferred) Knowledge of Homecare Homebase (HCHB) is a plus Additional Perks That Set Royal Care Apart 100% Premium Coverage for individual health insurance plans Melody Benefits Card: Earn up to $1.94/hour worked for expenses like childcare, phone bills, transportation, and more Paid Time Off: Up to 56 hours of paid sick leave + vacation time Aflac Supplemental Insurance: Disability, critical illness, accident coverage U@Perks Membership: Access wellness lounges with hair, nail, nutrition, and beauty services in NYC Flexible Pay Options + financial support tools Benefits: 401(k) Dental insurance Flexible schedule Health insurance Referral program Vision insurance Work Location: In person

Title: Portfolio/Program Manager (Process Excellence) \n Location: Hybird Newark NJ 3 Days onsite \n Duration: 6 Months \n \n Interview Process: 2-3 Rounds \n \n Here Is What You Can Expect on A Typical Day \n\n • Partner with executive stakeholders to identify, assess, and prioritize opportunities aligned to strategic business objectives.\n, • Lead discovery sessions, executive workshops, and working sessions to uncover business challenges, define transformation opportunities, and align stakeholders around a shared vision.\n, • Personally lead and contribute to end-to-end process engineering and re-engineering efforts, including current-state assessment, process mapping, root-cause analysis, future-state design, and implementation planning.\n, • Work directly with business and functional teams to challenge existing processes, simplify workflows, eliminate friction and non-value-added activities, and design more effective and scalable ways of working.\n, • Develop roadmaps that translate enterprise priorities into a sequenced portfolio of initiatives, balancing business value, feasibility, organizational readiness, and risk.\n, • Build compelling business cases and executive recommendations supported by quantitative and qualitative analysis.\n, • Guide cross-functional teams through the definition of future-state operating models, processes, decision structures, and workforce impacts.\n, • Drive alignment across business, technology, data, risk, compliance, and operations teams while rolling up your sleeves to help teams work through complex process and execution challenges.\n, • Establish repeatable process-engineering approaches and transfer knowledge and capabilities to the broader team through hands-on coaching and collaboration.\n, • Identify dependencies, risks, barriers, and organizational challenges while developing action plans to maintain progress towards business objectives.\n, • Collaborate with AI, data, and technology teams to ensure business objectives remain at the center of solution design and implementation decisions.\n, • Monitor emerging AI capabilities, industry trends, and competitive developments to continuously inform transformation strategy and opportunity identification.\n, • Develop executive communications, strategic narratives, and leadership materials that articulate progress, outcomes, and future opportunities.\n\n The Skills and Expertise You Bring \n\n • Bachelor's degree required; advanced degree (MBA or equivalent) preferred.\n, • Proven management consulting experience is required.\n, • Stakeholder and relationship management, including trusted-advisor relationships, executive facilitation, conflict resolution, and influence across a complex matrix.\n, • End-to-end process engineering and business process re-engineering, including process diagnostics, current- and future-state design, root-cause analysis, and implementation.\n, • Strong financial and business acumen with experience developing business cases, value frameworks, and measurable outcome metrics, benefit ownership, and sustained performance management.\n, • Experience in large-scale financial services transformation, with practical experience navigating risk, compliance, controls, operational resilience, data, and legacy technology constraints.\n, • Experience facilitating executive-level discussions, workshops, and decision-making forums involving multiple stakeholders with competing priorities.\n, • Proven ability to influence senior leaders and build alignment across complex organizational environments.\n, • Exceptional communication, storytelling, and synthesis skills, including the ability to communicate complex concepts in a simple and compelling manner.\n, • Experience leading multiple concurrent initiatives and managing cross-functional dependencies across business and technology organizations.\n, • Strong analytical and problem-solving capabilities with a demonstrated ability to translate data into strategic insights and recommendations.\n, • Ability to navigate ambiguity, operate independently, and drive outcomes in fast-paced and evolving environments.\n\n

Job Title: AI Infrastructure Support Engineer Location: New York, NY Type - Hybrid 4 days Onsite Terms; Full Time Salary- $150000/yr - $190000/yr Our client provides a range of financial products and services in the United States and internationally. It operates through Securities Services, Market and Wealth Services, Investment and Wealth Management, and Other segments. The Securities Services segment offers custody, trust and depositary, accounting, exchange-traded funds, middle-office solutions, transfer agency, services for private equity and real estate funds, foreign exchange, securities lending, liquidity/lending services, and data analytics.\n \n In this role, you'll make an impact in the following ways: \n \n \n\n • Deliver operational support and drive issue resolution for AI infrastructure, GPU platforms, and associated production services.\n, • Support the deployment, orchestration, and monitoring of AI/ML workloads across distributed environments using Kubernetes and Docker.\n, • Apply hands-on expertise with NVIDIA GPU infrastructure, including A100, H100, and B200 nodes, to support provisioning, utilization, performance tuning, and ongoing platform operations.\n, • Build, maintain, and optimize automation scripts and tooling using Ansible, Python and Shell scripting to improve efficiency and reliability.\n, • Manage incidents, service requests, and change activity through enterprise workflow and ticketing platforms such as JIRA and ServiceNow.\n, • Partner with cross-functional teams across engineering, platform, and operations to implement DevOps best practices, including CI/CD using GitLab, containerized deployment models, and secure access management through Azure AD.\n, • Create and maintain clear technical documentation, including runbooks, standard operating procedures, support guides, and infrastructure architecture artifacts.\n, • Diagnose and resolve networking, storage, and system performance issues affecting AI infrastructure and high-performance compute workloads.\n, • Participate in a rotating on-call support model, including occasional weekend coverage, to help maintain high availability and operational excellence. \nTo be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.\n, • Strong experience supporting AI infrastructure, GPU platforms, or high-performance compute environments in enterprise or production settings.\n, • Hands-on experience working with NVIDIA GPU nodes, including A100, H100, and B200 systems.\n, • Solid understanding of Kubernetes and Docker for deploying, managing, and troubleshooting distributed workloads.\n, • Proficiency in Ansible, Python and Shell scripting for automation, tooling, and operational support tasks.\n, • Experience with DevOps practices and tools, including GitLab CI/CD, infrastructure automation, and container-based delivery models.\n, • Familiarity with enterprise ticketing and service management platforms such as JIRA and ServiceNow.\n, • Good knowledge of networking, storage, Linux systems administration, and infrastructure troubleshooting in complex technical environments.\n, • Understanding of identity and access management, including secure access controls such as Azure AD.\n, • Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.\n, • Effective written and verbal communication skills, with the ability to document processes and collaborate across technical and non-technical teams.\n, • Willingness to participate in on-call rotations and provide occasional weekend support as needed. \nEstimated Min Rate: $150000.00\n Estimated Max Rate: $190000.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Accountant / Supervisor \n \n Job Type: Full-time (In Person) \n \n Job Description: \n \n Mid-sized well established Northern NJ accounting firm seeks a CPA with 5+ years public accounting experience required to participate in all levels of client service and interaction. Our firm prides itself as being a leader in providing accounting services, financial planning, tax planning, estate planning, and more to its diverse client base. We are a mid-sized firm with a small firm feel. We offer an excellent opportunity for personal growth by having your efforts recognized in a progressive, more personalized CPA firm. \n \n Looking for someone to run client engagements from start to finish, including planning, executing, supervising staff, and reviewing final work product. Client engagements will include monthly and year-end accounting, budgeting, financial statement preparation, tax planning, and tax return preparation. Must be motivated, have the ability to multi-task, and be organized. Candidate should be a self-starter with a strong, detail-oriented personality, maintain a positive attitude, and be cooperative and flexible about the type of work assigned and in assisting other team members on assignments. The candidate should be able to work directly with clients and demonstrate the ability to complete projects accurately and efficiently. This is an on-site position. We offer flexible hours, a competitive salary, a tax season bonus, health and retirement benefits, and a generous vacation policy. Please include Salary Requirements. \n \n Education: \n · Must have B.A./B.S. degree in Accounting (MST/MBA is a plus). \n \n Qualifications: \n · CPA or pursuing CPA required. \n · 5+ years of work experience in public accounting required. \n · Strong technical skills in taxation required. \n · Proficient in Word and Excel required. \n · Proficient in QuickBooks is a plus. \n · Knowledge of UltraTax is a plus. \n \n Benefits: \n · Competitive salary. \n · Performance bonus. \n · Flexible work hours. \n · Health insurance. \n · Dental insurance. \n · Vision insurance. \n · Generous vacation policy. \n · Retirement plan.

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Position Summary \n The General Manager, Wholesale Operations reports to the Director of Wholesale Food Distribution and oversees day-to-day operations at GrowNYC Wholesale. The General Manager, Wholesale Operations is responsible for warehouse, food safety, inventory, transportation and logistics, equipment and maintenance, and operational systems across a 20,000 sq-ft food facility, a fleet of 6 trucks and vans, and a team of approximately 13 staff. This role ensures that Wholesale Operations runs safely, efficiently, and reliably in support of GrowNYC’s mission to bolster the financial viability of regional farmers and empower New Yorkers with equitable access to fresh, locally grown food. This position requires a seasoned operator already familiar with Wholesale Food Distribution who possesses strong organizational skills, and the ability to work collaboratively with diverse stakeholders to achieve both mission-driven and financial goals. A core part of the role is staff development across the operations: systems, training, accountability, and consistent follow-through Requirements\n General Manager, Wholesale Operations Responsibilities (Include but are not limited to): \n Wholesale Operations \n\n • Manage day-to-day Wholesale Operations, including receiving, storage, inventory, order fulfillment, and outbound delivery\n, • Oversee warehouse operations performance, including inventory control, food safety, workplace safety, compliance and shipping, setting standards and priorities with the Warehouse Manager \n, • Oversee delivery and logistics performance, including on-time delivery, route optimization, driver safety, truck utilization, and compliance, setting standards and priorities with the Outbound Logistics Manager\n, • Own order cycle configuration in the order management system (order periods, lead times, aggregation and delivery cycles) in coordination with Purchasing and Sales\n, • Coordinate with Purchasing and Sales departments on receiving, inventory availability, fulfillment, and delivery service levels. Resolve fulfillment and delivery issues, and escalate customer or supplier relationship issues to the appropriate dept/function lead or the Director of Wholesale \n, • Serve as the designated backup for operational continuity in Director’s absence: make day-to-day operational decisions, serve as point of contact for Wholesale staff on urgent operational matters, and brief Wholesale Director on all decisions upon return \n, • Support operational execution of new service lines as directed by the Wholesale Director (e.g. new activations, expanded distribution programs, third-party cold storage)\n\n Staff Supervision and Development \n\n • Supervise, coach, and develop operations managers and their teams \n, • Establish management frameworks for the operations team, including weekly and monthly priorities, check-ins, owners and deadlines \n, • Oversee hiring for operations roles in partnership with the hiring manager and HR\n, • Support managers in onboarding new Wholesale ops staff, conducting performance reviews, addressing performance issues and ensuring well-documented practices across the operations team in partnership with HR \n, • Partner with operations managers and Wholesale Director to ensure training programs are in place for all operations roles \n, • Maintain a coverage plan for all operations roles, including who steps in when the Warehouse Manager, Outbound Logistics Manager, or a Lead is out; personally cover for either operations manager during absences; and ensure cross-training so all business critical workflows have adequate coverage and redundancy\n, • Work conjunctively with the Outbound Logistics Manager, Warehouse Manager and HR to issue Corrective Action Notices (CANs) and Performance Improvement Plans (PIPs), as needed.\n\n Equipment, Maintenance and Systems \n\n • Oversee repair, preventative maintenance, sanitation and service vendor relationships for Wholesale equipment, including contracts, warranties, and preventive maintenance schedules, for Wholesale equipment, including refrigeration, dock doors and lifts, material handling equipment, and the forklift charging station, when escalated from routine inspections and maintenance by the Warehouse Manager\n, • Maintain the refrigeration temperature monitoring and alarm system, in coordination with the Warehouse Manager, who oversees the maintenance of temperature records as PCQI and the Facilities Manager, who oversees the BMS\n, • Serve as primary after-hours contact for refrigeration and temperature alarms, and maintain an escalation protocol with the Warehouse Manager and Facilities Manager\n, • Manage waste carting and organics collection service agreements and vendor contracts for Wholesale; ensure biodigester SOPs and staff training are current\n, • Coordinate Wholesale fleet maintenance and fleet availability with the Fleet Administrator and Outbound Logistics Manager \n, • Coordinate with the Facilities Manager on building systems and construction, renovation, repair or maintenance activity affecting Wholesale operations\n, • Coordinate with building tenants and the Facilities Manager on shared spaces (including yard and docks), access, workplace safety, and food safety controls \n, • Serve as system administrator for Wholesale operational systems and shared program accounts, including order management, routing, databases, and Wholesale program aliases; maintain user access, credentials, integrations, and automations with a trained backup for each \n, • In coordination with the Wholesale Director and IT, evaluate and implement operational technology, prioritizing process documentation, integration and automation \n\n Performance, Compliance and Continuous Improvement \n\n • Maintain the “Hub Office Policies and Procedures” manual, in partnership with the Director of Wholesale, including evacuation and closure procedures, distribution, staff training and annual review; make operational closure and delay decisions in coordination with the Director of Wholesale \n, • Track and report operational KPIs (e.g. on-time delivery, order accuracy, storage utilization, truck utilization, safety incidents)\n, • Drive continuous improvement across Wholesale operations, setting standards for and approving operational SOPs developed by managers and operational leads\n, • Maintain operational reports and dashboards, with documented processes and a trained backup for each\n, • Manage the Wholesale operations budget and drive cost efficiency across labor (including overtime), fleet, equipment, supplies and services; provide input on the annual operations budget and operational cost reporting, and review and approve operations vendor invoices within delegated authority \n, • Collaborate with Wholesale Director, Facilities Manager, Safety and Risk Management Senior Advisor, and Fleet Administrator to ensure compliance with OSHA, USDA, DOT and any other relevant agency rules and regulations related to Wholesale operations\n, • Ensure a comprehensive warehouse safety program is in place and enforced, compliant with OSHA, covering safety techniques, PPE, equipment certification, hazard communication, emergency response, equipment and workplace safety inspections and recordkeeping including safety data sheets and incident reports\n, • Review all accidents and incidents and implement proper corrective actions and report to the Director of Wholesale and Senior Advisor, Safety and Risk Management\n, • Perform regular spot checks to ensure adherence to food safety protocols (HACCP, temperature logs), hygiene standards, and workspace safety practices with the Warehouse Manager serving as the facility’s PCQI.\n, • Partner with Facilities Manager and Safety and Risk Management Senior Advisor on fire and life safety testing and inspections in Wholesale areas; ensure egress and sprinkler clearances are maintained, deficiencies are corrected and staff trained on safety and emergency procedures\n, • Develop and implement shrink policy, tracking, analyzing, and reporting on shrink / spoilage rates to reduce food waste \n\n Required Qualifications \n\n • Five plus (5+) years of wholesale food distribution, warehousing or logistics experience\n, • Five plus (5+) years of experience in staff management, PIPs, professional development and performance reviews \n, • Demonstrated experience with managing operations budgets and controlling costs\n, • Demonstrable steady leadership and team management skills.\n, • Excellent communication skills and proven ability to communicate with people from diverse backgrounds and knowledge levels\n, • Ability to manage concurrent projects in a fast-paced team environment\n, • Strong interpersonal skills and willing to work with people from diverse backgrounds \n, • Professional proficiency with Microsoft Office products, Google Workspace products, and other ERP, routing, communications, workflow management, and project management applications\n\n Ideal Qualifications \n\n • Ability to speak a second language, ideally Spanish \n, • Knowledge of regional food systems, social enterprises, and food business \n, • Experience in a union environment\n, • Valid NYS Driver’s License with clean driving record is a plus but not required \n, • Experience in the nonprofit sector\n\n Schedule \n This full-time position has a work schedule of Monday-Friday 9am to 5pm, 35-40 hours per week and requires occasional flexible hours including early mornings, evenings, and weekends. \n \n Compensation \n The position is exempt, full-time and salaried. It pays $100,000 - $110,000 per year and includes full benefits (medical, dental, vision, life insurance, long-term disability, incentive savings plan, paid time off, Public Service Loan Forgiveness, and potential for parental leave for full-time regular employees who have been employed with GrowNYC for 175 days and FSA programs). This position is not union eligible/a part of the bargaining unit. \n \n Location \n This is an on-site position based at GrowNYC’s warehouse in Hunt’s Point Bronx. The role may require occasional meetings at our downtown Manhattan office and off-site visits to customer and partner sites.

Seeking a talented, dynamic, business minded hospitality professional for a Director of Spa/Wellness and Fitness role. \n \n This leadership role is responsible for the opening and day-to-day operation of a comprehensive spa, wellness and fitness experience. Reporting to the Senior Head of Operations, this hands-on leader brings together thermal bathing, fitness, and welcoming social spaces through thoughtful service, strong team leadership, and disciplined operations. The role ensures a seamless member and guest experience from arrival to departure, balancing an engaging social atmosphere with the discretion, care, and attention to detail expected of luxury hospitality. \n \n The ideal candidate is a proactive, business-minded hospitality leader with experience in spa, wellness, fitness, or private-club operations. They are equally comfortable coaching teams on the floor, resolving guest concerns, reviewing business performance, and building practical operating procedures. An opening mindset, calm judgment, and the ability to create warm, personalized experiences are essentials \n \n Requirements: \n • This is a hands-on, on-site leadership role spanning pre-opening preparation, daily service, team development, and operational and financial performance. \n • Lead pre-opening operational preparation, including staffing plans, recruitment, training, service procedures, opening checklists, and trial services in partnership with the Head of Operations. \n • Coordinate with Facilities and project teams on equipment readiness, operational walkthroughs, and the resolution of outstanding issues before opening. \n • Oversee daily operations across the spa, bathhouse, fitness areas, reception, and shared guest spaces, ensuring consistent standards throughout. \n • Lead and develop departmental leaders, supervisors, practitioners, trainers, and guest-services teams, building clear ownership and effective communication. \n • Create a welcoming, refined guest journey through attentive arrival, clear guidance on amenities and services, personalized care, and thoughtful departure follow-up. \n • Maintain a visible floor presence, anticipate member and guest needs, and resolve service concerns promptly with empathy, discretion, and sound judgment. \n • Balance a lively, social wellness environment with appropriate privacy, comfort, and respectful use of shared spaces. \n • Create and maintain written SOPs, treatment-service protocols with qualified specialists, training materials, opening and closing routines, and service-recovery procedures. \n • Manage staffing schedules, coverage, and labor deployment in line with demand, approved budgets, and service expectations. \n • Oversee bookings, fitness programming, and amenity capacity to support smooth guest flow and appropriate staffing. \n • Review revenue, labor, expenses, inventory, and operational reports; monitor performance against budget and provide clear updates to the Head of Operations. \n • Support responsible revenue growth through strong service, retention, appropriate treatment and retail recommendations, and collaboration with Membership and Marketing. \n • Oversee inventory counts, linen and amenity availability, purchasing needs, and vendor relationships within approved budgets and purchasing procedures. \n • Partner with Housekeeping and Facilities to maintain exceptional cleanliness, presentation, equipment condition, and readiness of all guests and back-of-house areas. \n • Work with Facilities, qualified operators, and People & Culture to maintain applicable health, sanitation, water-quality, licensing, safety, and workplace requirements; escalate concerns promptly. \n • Ensure emergency procedures, incident reporting, staff safety training, and guest privacy practices are understood and followed. \n • Coach and evaluate team performance, support onboarding and ongoing development, and foster a respectful, inclusive, service-focused workplace. \n • Use member and guest feedback, utilization trends, and team observations to improve daily operations and the overall experience. \n \n Position Qualifications include • 5+ years of progressive management experience in spa, wellness, fitness, luxury hospitality, or private-club operations, including leadership of managers or multi-department teams. \n • Direct experience managing spa, bathhouse, thermal bathing, or integrated wellness operations strongly preferred; familiarity with fitness operations is important. \n • Pre-opening or launch experience preferred, with the ability to build practical systems, train teams, and adapt as operations evolve. \n • Proven ability to deliver high-touch service, handle guest escalations, and develop confident, accountable teams. \n • Working knowledge of budgeting, labor management, scheduling, inventory controls, and operational reporting. \n • Comfort using booking, membership, CRM, POS, and reporting platforms, along with Microsoft Office or similar tools. \n • Understanding of sanitation, thermal-area safety, treatment-service standards, and applicable operational requirements; ability to partner effectively with licensed and qualified specialists. \n • CPR/AED certification or willingness to obtain; any role-specific safety training will be coordinated with leadership. \n \n Additional Skills • Warm, professional communication and a calm, guest-first approach in a fast-moving environment. • Strong organization, practical problem-solving, attention to detail, and reliable follow-through. • Ability to balance service quality, team engagement, operational efficiency, and commercial performance. • Ability to maintain an active floor presence, including standing and walking for extended periods, with or without reasonable accommodation. • Availability to work a flexible schedule, including early mornings, evenings, weekends, and holidays as business needs require. •

Financial Services Sales Leader | Enterprise AI & Data \n \n Location: New York/DC (Remote) \n Sector: Enterprise AI, Data Intelligence & Financial Services \n \n Zendr is partnering with a high-growth, internationally established enterprise AI and data technology business to appoint a Financial Services Sales Leader for its expanding North American operation. \n \n The company works with some of the world's largest financial institutions, helping them connect fragmented data, uncover complex relationships and unlock new opportunities through advanced analytics, AI and decision intelligence. \n \n With an established Tier 1 banking customer base, significant investment in North America and an ambitious expansion strategy, this is an opportunity to lead an experienced enterprise sales team while playing a direct role in accelerating new customer acquisition. \n \n The Opportunity: \n\n • Lead, coach and develop a team of Enterprise Account Executives focused on Banking and Financial Services.\n, • Hiring: Double the team headcount.\n, • Drive new-logo acquisition across major banks, financial institutions, payments businesses and FinTech.\n, • Take an active, hands-on role in complex enterprise sales cycles, executive engagement and strategic deal execution.\n\n \n Requirements: \n\n • Territory focus of Financial Services & T1 Banking.\n, • A track record of delivering new-logo growth and growing a team of high-performing Account Executives.\n, • Background in enterprise data, AI, analytics, financial technology, risk or related software markets.\n, • Experience navigating complex, multimillion-dollar enterprise sales opportunities.\n, • A genuinely hands-on leadership style: coaching deals, engaging C-level stakeholders and leading from the front.\n\n \n Contact Zendr for a confidential discussion about the opportunity.

Release Train Engineer (RTE) / Agile Coach\n \n Job Posting ID: Release Train Engineer/Agile coach Location: Jersey City, NJ 07310 Contract Duration: 12- 18 months Expected Pay: $95/hr - $100/hr Client: Banking/FinTech \n \n Position Overview \n \n We are seeking an experienced Release Train Engineer (RTE) / Agile Coach to serve as a servant leader and chief coordinator for an Agile Release Train. This individual will partner closely with Product Management, Product Owners, Scrum Masters, Delivery Leads, Engineering teams, and business stakeholders to support the successful planning and execution of large-scale initiatives. \n \n The RTE will facilitate Program Increment Planning, manage cross-team dependencies, resolve impediments, monitor delivery metrics, and promote alignment between business priorities and execution teams. The ideal candidate will have experience improving delivery flow, strengthening team collaboration, and leading complex programs across multiple teams and functional areas. \n \nKey Responsibilities\n \n\n \n • Develop a thorough understanding of application functionality, architecture, and integrations to effectively communicate platform capabilities to business and technology stakeholders.\n \n • Serve as a primary liaison between Lines of Business, Global Technology engineering teams, and enterprise partners.\n \n • Elicit, analyze, and document business, regulatory, and technology requirements.\n \n • Translate requirements into clear user stories, functional specifications, and acceptance criteria.\n \n • Lead end-to-end delivery across the Software Development Lifecycle, including planning, dependency management, milestone tracking, and issue resolution.\n \n • Ensure compliance with change management, risk, governance, and enterprise technology control requirements.\n \n • Execute program and project governance processes, including required forums, documentation, and artifacts.\n \n • Serve as Scrum Master for Agile delivery teams supporting the Mercury platform.\n \n • Facilitate Agile ceremonies and promote adherence to established Agile practices.\n \n • Manage work intake, prioritization, and execution using JIRA workflows and related tools.\n \n • Monitor and report delivery health, Agile metrics, risks, impediments, and cross-team dependencies.\n \n • Partner with GIS, Risk, and enterprise control teams to track and remediate assigned findings.\n \n • Ensure mandatory enterprise deliverables are completed on time, accurately documented, and audit-ready.\n \n • Maintain platform documentation, including process flows, control documentation, training materials, and user-facing resources.\n \n\n \nRequired Qualifications\n \n\n \n • Strong experience as a Release Train Engineer, Senior Scrum Master, Agile Program Manager, or Delivery Lead in a large-scale Agile environment.\n \n • In-depth understanding of Agile, Scrum, Kanban, Lean, and SAFe methodologies.\n \n • Experience facilitating Program Increment Planning and Agile Release Train ceremonies.\n \n • Proven ability to manage cross-functional dependencies across multiple teams.\n \n • Strong stakeholder management and executive communication skills.\n \n • Experience identifying, tracking, escalating, and resolving program-level risks and impediments.\n \n • Ability to analyze delivery metrics and use data to drive continuous improvement.\n \n • Strong facilitation, conflict resolution, and problem-solving skills.\n \n • Experience leading organizational change or Agile transformation initiatives.\n \n • Ability to coordinate complex business and technology programs from planning through delivery.\n \n • Knowledge of project governance, risk management, and regulatory delivery environments.\n \n • Proficiency with JIRA, Azure DevOps, Rally, or similar Agile management tools.\n \n\n \nPreferred Qualifications\n \n\n \n • SAFe Release Train Engineer certification.\n \n • SAFe Program Consultant, Certified Scrum Master, Certified Scrum Professional, or a related Agile certification.\n \n • Experience working within banking, financial services, or another highly regulated environment.\n \n • Knowledge of the technology development lifecycle, software engineering practices, and DevOps principles.\n \n • Experience supporting multiple Agile Release Trains or large-scale portfolio delivery.\n \n • Familiarity with Lean Portfolio Management.\n \n • Experience creating executive reports, portfolio dashboards, and performance metrics.\n \n • Strong background in change management and organizational transformation.\n \n • Knowledge of risk, compliance, audit, and regulatory program delivery.\n \n • Experience coaching Scrum Masters, Product Owners, and Agile delivery teams.\n \n • Ability to influence stakeholders and establish alignment without direct authority.\n \n\n \nThe Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)\n \n \n \n \n

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full time After Hours Hospice RN Supervisor with 15K Sign on Bonus, PENSION and 403B Retirement plan and 4 weeks vacation This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $125,000 - $133,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? $15,000 Sign on Bonus (depending on position) 4 weeks Vacation 8 company paid holidays PENSION plan – Employer paid 100% at 5.75% of salary per year Employee Vesting at 5 year work anniversary 403B Retirement plan thru Lincoln Financial Medical, Dental and Vision coverage start 60 days after start date Medical Coverage thru CIGNA Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan Vision coverage thru United Healthcare FREE Online RN to BSN and MSN degree programs Dependent Tuition Reimbursement for clinical staff Annual Tuition reimbursement $4,500 529 College Savings plan LOW cost medical, dental and vision coverage for employee and family members Flexible spending Account Dependent Care FSA Employee Assistance Program (EAP) Life Insurance policy at 2X your annual salary paid by employer Short term and Long-Term disability thru Mass Mutual Commuter Benefits program for Transit and Parking Pet care discount 25% with participating Providers Job Details The After Hours Hospice RN Supervisor is responsible for the supervision of both the RNs (Triage & Field) and the CSRs who are emergently triaging the calls received from patients and/or caretakers for Hospice & Palliative Care program This working supervisory role provides supervision of the staff that patient physical and psychosocial health systems assessments telephonically, supporting the Hospice Plan of Care and “Goals of Care” based on the patient’s and caretaker’s needs/wishes, and facilitates coordination with plan developed/placed by the primary RN Case Manager for the patient. Provide clinical supervision and after-hours leadership for hospice patients, families, and field staff. Coordinate scheduled and unscheduled hospice visits and communicate critical clinical information to on-call clinicians. Triage complex patient and family calls involving pain, symptom management, medication changes, clinical deterioration, and goals of care. Collaborate with hospice physicians, social workers, pastoral care, managers, and interdisciplinary team members to coordinate patient-centered care. Maintain accurate clinical documentation of patient calls, assessments, interventions, and outcomes. Support staff with clinical guidance while promoting professional, respectful, and effective communication 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

The Opportunity \n \n An established private investment firm is seeking an Investment Associate to join its NYC investment team. \n \n This newly created position will focus primarily on private equity investments across the natural resources and infrastructure sectors, including oil and gas, power, and renewables. \n \n Candidates must have a relevant energy industry investment or project finance background. The successful candidate will work closely with senior investment professionals throughout the full investment lifecycle, including opportunity evaluation, transaction execution and portfolio management. \n \n The role offers significant responsibility, direct exposure to senior decision-makers and internal/external stakeholders. \n \n Key Responsibilities \n\n • Evaluate private equity investment opportunities within the energy industry\n, • Build detailed financial models, valuation analyses and investment return scenarios.\n, • Conduct commercial, financial, operational and strategic due diligence.\n, • Prepare investment memoranda and materials for investment committee review.\n, • Support transaction execution across acquisitions, financings, restructurings and exits.\n, • Monitor portfolio company performance and assist with strategic, financial and operational initiatives.\n, • Work directly with management teams, lenders, legal counsel, consultants and other external advisors.\n, • Conduct industry research and help identify new investment themes and opportunities.\n, • Support business development and relationship-building with executives, intermediaries and industry participants.\n\n \n Qualifications \n\n • Bachelor’s degree in Finance, Economics, Accounting, Engineering or a related discipline, with a strong academic record.\n, • Approximately 1.5–5 years of total professional experience in investment banking or project finance\n, • Relevant experience within investment banking, private equity, corporate development, transaction services or another transaction-focused investment role\n, • Strong financial modeling, valuation and transaction-analysis capabilities.\n, • Experience evaluating M&A transactions and conducting financial due diligence.\n, • Clear interest in oil and gas, energy infrastructure and private equity investing.\n, • Strong analytical ability, attention to detail and commercial judgment.\n, • Ability to manage multiple workstreams in a fast-paced transaction environment.\n, • Excellent written and verbal communication skills.\n, • Advanced proficiency in Excel and PowerPoint.\n, • An MBA is not required.\n\n

Job Description MISSION STATEMENT Are you ready to give back to the community while pursuing your passion? For over 50 years, Acacia Network and its affiliates have been committed to improving the quality-of-life and wellbeing of underserved communities in New York City and beyond. We are one of the leading human services organizations in New York City and the largest Hispanic-led nonprofit in the State, serving over 150,000 individuals every year. Our programs serve individuals at every age and developmental level, from the very young through our daycare programs to mature adults through our older adults centers. Our extensive array of community-based services are fully integrated, bilingual and culturally competent. POSITION OVERVIEW The Utilization Manager is responsible for the day-to-day functions of collaborative communication with external case managers at referring provider facilities and/or managed care organizations (MCO) for data collection, interpretation, and certification/recertification from third party payers at pre-admission through discharge, ongoing medical necessity reviews and interdisciplinary team support with respect to MCO requisites. In addition, this position is responsible for having a thorough understanding of patient treatment plans through participative discussions with the care plan (interdisciplinary) team, identifying and referring requests for services to the Medical Director when guidelines are not met and reviewing residential services requiring MCO approval. KEY ESSENTIAL FUNCTIONS • Obtaining the required pre-authorization/certification of specified services from the MCO and communicating end of benefit status and/or reimbursement changes to Finance and others as deemed necessary., • Conducting ongoing medical necessity reviews, which may be pre-service, concurrent and/or retrospective in nature, by evaluating clinical data and submitting appropriate documentation to update the patient/resident’s status to the MCO as scheduled., • Acting as a liaison between the residential program and the MCO to better facilitate the reimbursement process., • Referring MCO denials and non-covered medical services to the directors for appeal determination and next steps, • Conduct medical record reviews of all managed care patients within the first 24 to 72 hours (if admitted on a Friday after 5:00pm) then weekly as required to promote desired clinical and financial outcomes by, but not limited to:, • Meeting with all managed care residents/patients to better assist in the selection of appropriate provider resources and identification of quality and cost-effective services throughout the continuum of care., • Acting as a resource to the interdisciplinary team regarding MCO requirements for admission, continued stay and discharge planning., • Providing early identification of covered care and ensuring that claims are approved when the requirements are met., • Collaborate with clinicians to identify discharge needs and coordinates with Social Services in the creation and implementation of a discharge/transfer plan., • Coordinates post-discharge follow-up care with selected patients and community providers., • Maintains strong leadership skills to perform the multiple functions and a wide variety of tasks requiring independent judgment, ingenuity, and initiative., • Interacts with executives, directors, key members of the residential team, physicians, and their staff, third party payers, state and federal agencies, auditors, and vendors., • Maintains a high degree of computer proficiency with MS Word and MS Excel which is critical for the analysis conducted using this technology., • Maintains all information in a manner such as to assure strict confidentiality and compliance with HIPPAA., • Maintains full knowledge and understanding of state and federal regulations as they pertain to resident assessment requirements., • Performs all other tasks including miscellaneous special projects as directed.

Job DescriptionBehavior Technician Paid Training | $20–$23/hour | In-Home ABA Services | Manhattan, NY Vibrant ABA is hiring Behavior Technicians (BTs) and Registered Behavior Technicians (RBTs) to provide one-on-one, in-home ABA therapy to children with autism throughout Manhattan, NY. This is a meaningful opportunity to make a direct impact in a child’s life while receiving ongoing training, clinical support, and a flexible schedule that supports your availability. Whether you are already an RBT or looking to grow into the role, we welcome compassionate, reliable individuals who are passionate about working with children. At Vibrant, our clinical team is committed to supporting your growth every step of the way. About the Role As a BT/RBT, you will work directly with children in their homes, implementing individualized treatment plans created by a BCBA. You will support children in developing communication, social, behavioral, and daily living skills while working closely with families and receiving ongoing supervision from our clinical team. Service Areas We are currently hiring across Manhattan and surrounding neighborhoods, including: • Upper East Side, • Upper West Side, • Harlem, • Washington Heights, • Inwood, • Midtown, • Chelsea, • Hell’s Kitchen, • Lower East Side, • East Village, • West Village, • Tribeca, • SoHo, • Financial District, • Murray Hill, • Kips Bay, • Surrounding Manhattan areas What You’ll Do • Provide 1:1 ABA therapy in client homes, • Implement individualized treatment plans developed by a BCBA, • Support skill development in communication, behavior, play, and daily living, • Collect accurate session data and document client progress, • Communicate regularly with supervisors, caregivers, and the clinical team, • Maintain a consistent and reliable therapy schedule, • Participate in ongoing training, supervision, and professional development What We’re Looking For • Experience working with children preferred (ABA, childcare, education, paraprofessional work, psychology, healthcare, camp counseling, or related experience is a plus) • Compassionate, patient, dependable, and eager to learn, • Comfortable working in home-based settings with families, • Strong communication and time management skills, • High school diploma or equivalent required, • Ability to travel locally throughout Manhattan, • After-school and/or weekend availability preferred RBT Candidates Encouraged to Apply We are actively seeking Registered Behavior Technicians (RBTs) and also welcome individuals who are interested in becoming certified. • RBT credential preferred, but not required to apply, • Paid training and onboarding provided, • Support available toward RBT certification, • Ongoing supervision and clinical guidance from experienced BCBAs Compensation & Benefits • $20–$23/hour, based on experience and credentials, • Paid training and onboarding, • Flexible scheduling, • Ongoing support from a collaborative clinical team, • Growth opportunities within the organization, • Cases assigned as close to your location as possible whenever available At Vibrant ABA, we are committed to providing compassionate, high-quality care to children and families while creating a supportive environment for our team. If you’re looking for a meaningful role where you can grow professionally and make a lasting impact, we’d love to hear from you.

Job DescriptionYouth Engagement Support Staff (Overnight) • Job Tracking ID : 512577-913907, • Job Location : Newark, NJ, • Job Level : Any, • Job Type : Full-Time/Regular, • Date Updated : 07/31/2026, • Years of Experience : Any Job Description:The YESS will possess excellent communication and organizational skills and provide support to young people that is strength-based, trauma-informed and harm reduction focused. The YESS will model our mission of providing absolute respect and unconditional love to all young people and will value working within a multi-disciplinary team to create a safe, inclusive environment for all. The YESS is responsible for continuous youth engagement, activities, and implementation of youth identified success plan goals. Other functions include crisis intervention and de-escalation, documentation in multiple databases, and facilitation of assigned activities. Duties & Responsibilities: Provide unconditional positive regard to young people regardless of their behavior. Support Case Management services with the goal of developing positive relationships with young people through the utilization of the case management system, including: • Welcome young people to the program, ensure they feel comfortable, safe and understand the program structure, opportunities for engagement, and access to supplies that they might need., • Build a supportive relationship with youth that encourages them to find their voice and connects them to opportunities, experiences, and resources that enrich and enhance their lives., • Support identified Success Plan goals with each young person., • Support the youth’s progress of self-identified goals and coach young people to plan, implement, and follow-through with tasks., • Motivate young people to explore and improve wellness, education and employment, financial literacy and social navigation goals and any other areas that will impact their success plan., • Monitor youth while taking medication and enter Medication Logs., • Engage with youth in daily House Activities. To include assisting in completing chores, dining, joining the gym and other fun activities, bus tickets, and on-going movement throughout the day., • Explore and participate with youth in outside activities, which can include trips, walks to parks, visiting college campuses and other experiences that expose and enrich a youth’s time with CHNJ., • Provide crisis de-escalation and intervention as necessary according to training and best practices., • Document Intake, Orientation and Transitions into ETO, HMIS and case files., • Document regular daily progress notes in young people’s case records (HMIS and ETO)., • Document pertinent information in Youth Incident Report, Medication Logs and House Activity Logs., • Facilitate if assigned youth group activities which support the 5 resiliency objectives: Wellness, Social Navigation, Financial Literacy, Education and Employment, on a regular basis., • Perform all duties assigned by the supervisor to meet the needs of young people while ensuring adherence to the daily program schedule., • Make copies of any forms or documents as assigned., • Prepare welcome kits. Sort new donations, organize unit storage closets, replenish youth supplies as requested and/or needed., • Do laundry as assigned for youth linens., • Clean and prepare vacant residential space to be ready for new intakes., • Maintain youth common areas according to cleanliness standards., • Count medication nightly and document on medication log, notify supervisor of any inaccuracies., • Rotate youth files according to the annual system., • Attend supervision with supervisor and meetings as assigned., • Attend professional development training as assigned., • Read and respond daily to all emails, calendar invites, and any other agency communications., • Cover the front desk when required., • Cover all areas of the building as assigned., • When assigned to transport youth in agency vehicles., • Utilizing agency resources for agency use only which include but are not limited to vehicles, computers, telephones., • Assists as needed with fundraising affairs and special events which may be conducted outside the employee’s normal work schedule. Must be available to work the following: Sunday, Monday, Tuesday & Wednesday: 10:30pm-8:30am. Days Off: Thursday, Friday & Saturday. Experience and Skills: • Bachelor’s degree in psychology, Sociology, Social Work or related field preferred., • Preferred experience with young people ages 18-24 experiencing homelessness or human trafficking and or lived experience. Knowledge of public benefits and community in NJ., • Must be a self starter and team player with the ability to work well with others. Knowledge of adolescent development and ability to build positive rapport with young people. Excellent communication skills as demonstrated by concise, timely and professional correspondence, both written and verbal. Bilingual in Spanish preferred but not required., • Must have a Valid driver’s license with an insurable record. Benefits: Medical, Dental, Vision, 403B Retirement plan, Paid Time Off (Vacation, Sick, Personal & Holiday).

Job Description The YESS will possess excellent communication and organizational skills and provide support to young people that is strength-based, trauma-informed and harm reduction focused. The YESS will model our mission of providing absolute respect and unconditional love to all young people and will value working within a multi-disciplinary team to create a safe, inclusive environment for all. The YESS is responsible for continuous youth engagement, activities, and implementation of youth identified success plan goals. Other functions include crisis intervention and de-escalation, documentation in multiple databases, and facilitation of assigned activities. Duties & Responsibilities: Provide unconditional positive regard to young people regardless of their behavior. Support Case Management services with the goal of developing positive relationships with young people through the utilization of the case management system, including: • Welcome young people to the program, ensure they feel comfortable, safe and understand the program structure, opportunities for engagement, and access to supplies that they might need., • Build a supportive relationship with youth that encourages them to find their voice and connects them to opportunities, experiences, and resources that enrich and enhance their lives., • Support identified Success Plan goals with each young person., • Support the youth’s progress of self-identified goals and coach young people to plan, implement, and follow-through with tasks., • Motivate young people to explore and improve wellness, education and employment, financial literacy and social navigation goals and any other areas that will impact their success plan., • Monitor youth while taking medication and enter Medication Logs., • Engage with youth in daily House Activities. To include assisting in completing chores, dining, joining the gym and other fun activities, bus tickets, and on-going movement throughout the day., • Explore and participate with youth in outside activities, which can include trips, walks to parks, visiting college campuses and other experiences that expose and enrich a youth’s time with CHNJ., • Provide crisis de-escalation and intervention as necessary according to training and best practices., • Document Intake, Orientation and Transitions into ETO, HMIS and case files., • Document regular daily progress notes in young people’s case records (HMIS and ETO)., • Document pertinent information in Youth Incident Report, Medication Logs and House Activity Logs., • Facilitate if assigned youth group activities which support the 5 resiliency objectives: Wellness, Social Navigation, Financial Literacy, Education and Employment, on a regular basis., • Perform all duties assigned by the supervisor to meet the needs of young people while ensuring adherence to the daily program schedule., • Make copies of any forms or documents as assigned., • Prepare welcome kits. Sort new donations, organize unit storage closets, replenish youth supplies as requested and/or needed., • Do laundry as assigned for youth linens., • Clean and prepare vacant residential space to be ready for new intakes., • Maintain youth common areas according to cleanliness standards., • Count medication nightly and document on medication log, notify supervisor of any inaccuracies., • Rotate youth files according to the annual system., • Attend supervision with supervisor and meetings as assigned., • Attend professional development training as assigned., • Read and respond daily to all emails, calendar invites, and any other agency communications., • Cover the front desk when required., • Cover all areas of the building as assigned., • When assigned to transport youth in agency vehicles., • Utilizing agency resources for agency use only which include but are not limited to vehicles, computers, telephones., • Assists as needed with fundraising affairs and special events which may be conducted outside the employee’s normal work schedule. We are currently looking for on-call per-diems for the following shifts: 7:30 AM -3:30 PM, 2:30 PM -10:30 PM & 10:00 PM - 8:00 AM Hourly Rate : $18.71 • Bachelor’s degree in psychology, Sociology, Social Work or related field preferred. Preferred experience with young people ages 18-24 experiencing homelessness or human trafficking and or lived experience. Knowledge of public benefits and community in NJ. • Must be a self starter and team player with the ability to work well with others. Knowledge of adolescent development and ability to build positive rapport with young people. Excellent communication skills as demonstrated by concise, timely and professional correspondence, both written and verbal. Bilingual in Spanish preferred but not required., • Must have a Valid driver’s license with an insurable record.