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Department/Unit: AMHS - Clinical Informatics Information Systems & Services Work Shift: Day (United States of America) Salary Range: $86,650.99 - $134,309.04 The Clinical Informatics Nurse utilizes the Tenets of American Nurses Association (ANA) Scope and Standards of practice for Nursing Informatics. The Clinical Informatics Nurse provides expertise in the planning, design, development, training, implementation, communication, maintenance, and evaluation of new or existing functionality related to clinical and business information systems. Working under the direction of the Director of Informatics, CNIO, the Clinical Informatics Nurse integrates nursing/clinical science, computer science, and information science to manage and communicate data, information, knowledge and wisdom in clinical practice. The Clinical Informatics Nurse supports the metaparadigm of nursing through information and data management, and works as a liaison among stakeholders to elicit, analyze, communicate, and validate requirements for changes to processes, workflow, policies, and information systems that support clinical practice and operations. The Clinical Informatics Nurse ensures data/information is current with regulatory agency and evidence-based practice standards and incorporates a unique body of nursing knowledge with clinical information systems. The Clinical Informatics Nurse coordinates the collection and reporting of outcome metrics associated with the clinical information systems. This position serves as an internal consultant to all departments to identify and achieve department and organizational goals and provides direct contact with vendors to ensure customer needs are met. Essential Duties and Responsibilities • Designs and supports systems and manages projects directed at improving quality and patient care outcomes using information technology., • Maintains current knowledge of computer applications used within the organization, evolving technologies, and current patient safety literature to guide system modifications and the pursuit of new clinical technology., • Conducts periodic workflow analysis to optimize the use of technology in patient care., • Provides input on clinical functions that are suitable for computer application and ensures the information systems are consistent with professional standards of nursing practice., • Collaborates with the end user throughout the organization on all computer system related initiatives., • Co-Lead and coordinate user group forums to continuously evaluate and improve system functionality., • Collaborates with Director of Informatics, CNIO, CHIO, CMIO, CNO, Nursing Directors, AVPs and managers, Technology and IT staff on special projects., • Utilizes a unique body of knowledge, preparation, and experience aligning with nursing profession., • Incorporates concepts in applications to role of nursing and nurses in the care continuum., • Coordinates the design and promotion of useful, innovative information technologies that advance practice interoperability and achieve desired outcomes., • Considers the impact of technological changes on patient safety, healthcare delivery, quality reporting, and nursing process., • Participates in organization level and divisional committees and work groups to advance technology and patient care., • Collaborates with Nursing Education department(s) to develop training for system enhancements and implementations., • Provides technical support for training., • Identifies and develops “super-users” to provide training and support to other users in the nursing division., • Communicates initiatives and enhancements for Patient Services, organizationally., • Collaborates with Nursing Leadership and Quality Department(s) staff to design documentation tools and technology interfaces that foster safe and efficient care, and satisfy regulatory and accreditation requirements., • Supports Data analytics and understands that real-time application of information by clinicians is a mechanism to change healthcare delivery and affect patient outcomes., • Identifies and supporting system changes to support improvements in patient care and enhanced workflow and productivity., • Incorporates key ethical concerns such as advocacy, privacy, and assurance of the confidentiality and security of data and information., • Supports decision making of consumers, nurses, and other professionals to achieve safety and advocacy., • Bachelor's Degree in Nursing or related field - required, • 1-3 years of acute-care nursing clinical experience - required, • 1-3 years of Electronic Health Record (EHR) implementation experience (super user, trainer, or implementation project team member) - required, • Strong organization, interpersonal communication and planning skills. (Medium proficiency), • Demonstrated ability to organize and present thoughts logically. (High proficiency), • Ability to work with others to accomplish goals and solve problems. (High proficiency), • Skills in effective project management. (Medium proficiency), • RN - Registered Nurse - State Licensure and/or Compact State Licensure in NYS Upon Hire - required, • INS - Informatics Nurse Specialist within 1-1/2 Yrs - preferred Equivalent combination of relevant education and experience may be substituted as appropriate. Physical Demands • Standing - Constantly, • Walking - Constantly, • Sitting - Rarely, • Lifting - Frequently, • Carrying - Frequently, • Pushing - Occasionally, • Pulling - Occasionally, • Climbing - Occasionally, • Balancing - Occasionally, • Stooping - Frequently, • Kneeling - Frequently, • Crouching - Frequently, • Crawling - Occasionally, • Reaching - Frequently, • Handling - Frequently, • Grasping - Frequently, • Feeling - Constantly, • Talking - Constantly, • Hearing - Constantly, • Repetitive Motions - Constantly, • Extreme cold - Rarely, • Extreme heat - Rarely, • Humidity - Rarely, • Wet - Rarely, • Noise - Constantly, • Hazards - Frequently, • Temperature Change - Rarely, • Atmospheric Conditions - Rarely Albany Medical Center is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Medical Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: AMHS - Clinical Informatics Information Systems & Services Work Shift: Day (United States of America) Salary Range: $86,650.99 - $134,309.04 The Clinical Informatics Nurse utilizes the Tenets of American Nurses Association (ANA) Scope and Standards of practice for Nursing Informatics. The Clinical Informatics Nurse provides expertise in the planning, design, development, training, implementation, communication, maintenance, and evaluation of new or existing functionality related to clinical and business information systems. Working under the direction of the Director of Informatics, CNIO, the Clinical Informatics Nurse integrates nursing/clinical science, computer science, and information science to manage and communicate data, information, knowledge and wisdom in clinical practice. The Clinical Informatics Nurse supports the metaparadigm of nursing through information and data management, and works as a liaison among stakeholders to elicit, analyze, communicate, and validate requirements for changes to processes, workflow, policies, and information systems that support clinical practice and operations. The Clinical Informatics Nurse ensures data/information is current with regulatory agency and evidence-based practice standards and incorporates a unique body of nursing knowledge with clinical information systems. The Clinical Informatics Nurse coordinates the collection and reporting of outcome metrics associated with the clinical information systems. This position serves as an internal consultant to all departments to identify and achieve department and organizational goals and provides direct contact with vendors to ensure customer needs are met. Essential Duties and Responsibilities • Designs and supports systems and manages projects directed at improving quality and patient care outcomes using information technology., • Maintains current knowledge of computer applications used within the organization, evolving technologies, and current patient safety literature to guide system modifications and the pursuit of new clinical technology., • Conducts periodic workflow analysis to optimize the use of technology in patient care., • Provides input on clinical functions that are suitable for computer application and ensures the information systems are consistent with professional standards of nursing practice., • Collaborates with the end user throughout the organization on all computer system related initiatives., • Co-Lead and coordinate user group forums to continuously evaluate and improve system functionality., • Collaborates with Director of Informatics, CNIO, CHIO, CMIO, CNO, Nursing Directors, AVPs and managers, Technology and IT staff on special projects., • Utilizes a unique body of knowledge, preparation, and experience aligning with nursing profession., • Incorporates concepts in applications to role of nursing and nurses in the care continuum., • Coordinates the design and promotion of useful, innovative information technologies that advance practice interoperability and achieve desired outcomes., • Considers the impact of technological changes on patient safety, healthcare delivery, quality reporting, and nursing process., • Participates in organization level and divisional committees and work groups to advance technology and patient care., • Collaborates with Nursing Education department(s) to develop training for system enhancements and implementations., • Provides technical support for training., • Identifies and develops “super-users” to provide training and support to other users in the nursing division., • Communicates initiatives and enhancements for Patient Services, organizationally., • Collaborates with Nursing Leadership and Quality Department(s) staff to design documentation tools and technology interfaces that foster safe and efficient care, and satisfy regulatory and accreditation requirements., • Supports Data analytics and understands that real-time application of information by clinicians is a mechanism to change healthcare delivery and affect patient outcomes., • Identifies and supporting system changes to support improvements in patient care and enhanced workflow and productivity., • Incorporates key ethical concerns such as advocacy, privacy, and assurance of the confidentiality and security of data and information., • Supports decision making of consumers, nurses, and other professionals to achieve safety and advocacy., • Collaborates with Nursing and other disciplines to assure interdisciplinary integration of work processes. Qualifications • Bachelor's Degree in Nursing or related field - required, • 1-3 years of acute-care nursing clinical experience - required, • 1-3 years of Electronic Health Record (EHR) implementation experience (super user, trainer, or implementation project team member) - required, • Strong organization, interpersonal communication and planning skills. (Medium proficiency), • Demonstrated ability to organize and present thoughts logically. (High proficiency), • Ability to work with others to accomplish goals and solve problems. (High proficiency), • Skills in effective project management. (Medium proficiency), • RN - Registered Nurse - State Licensure and/or Compact State Licensure in NYS Upon Hire - required Physical Demands • Standing - Constantly, • Walking - Constantly, • Sitting - Rarely, • Lifting - Frequently, • Carrying - Frequently, • Pushing - Occasionally, • Pulling - Occasionally, • Climbing - Occasionally, • Balancing - Occasionally, • Stooping - Frequently, • Kneeling - Frequently, • Crouching - Frequently, • Crawling - Occasionally, • Reaching - Frequently, • Handling - Frequently, • Grasping - Frequently, • Feeling - Constantly, • Talking - Constantly, • Hearing - Constantly, • Repetitive Motions - Constantly, • Eye/Hand/Foot Coordination - Constantly Working Conditions • Extreme cold - Rarely, • Extreme heat - Rarely, • Humidity - Rarely, • Wet - Rarely, • Noise - Constantly, • Hazards - Frequently, • Temperature Change - Rarely, • Atmospheric Conditions - Rarely, • Vibration - Rarely Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue"our mission"at MSK and around the globe. Nurse Leader MSK Blood Donor Room & Apheresis " Exciting Opportunity at MSK: Join Our Team as a Nurse Leader for our Blood Donor Room & Apheresis at MSK."The Blood Donor Room and Apheresis Team at Memorial Sloan Kettering Cancer Center (MSK) collects life-saving blood components from volunteer and patient donors for patients undergoing cancer treatment. Chemotherapy and radiation therapy deplete blood supply, making a healthy and consistent blood and platelet supply critical for patient care." " Role Overview:"" • Guide Clinical Excellence: Oversee therapeutic apheresis and specialized cell collection procedures, ensuring the highest standards of patient safety, quality, and compassion., • Support Life-Saving Impact: Direct and support blood collection and apheresis services from volunteer donors, securing the critical blood and platelet supply that sustains cancer care., • Educate & Empower: Provide guidance and education to patients, donors, families, and staff, creating an environment of trust, learning, and empowerment., • Develop Future Talent: Mentor and support your team through individualized training and orientation programs, strengthening nursing practice and building the next generation of nurse leaders. " "Key Qualifications:" • Bachelor of Science in Nursing required.", • New York State Registered Nurse (RN) license/registration", • National Certification is a plus.", • A minimum of 5 years recent nursing experience, Blood Donor and Apheresis experience ideal, • Demonstrated leadership skills." Core Skills:", • You're inspired by the opportunity to lead a team that delivers life-saving treatments, supports pioneering research, and helps shape the future of cancer care., • Outstanding communication and self-awareness.", • Mentorship and coaching abilities to support nursing staff development.", • Critical thinking and problem-solving to optimize patient outcomes and operational efficiency.", • Adaptability and resilience to lead change and innovation."", • Collaboration and building trusting relationships.", • Understanding of financial principles, resource allocation, and cost management."" ""Additional Information:", • Location: MSK Main Campus and Koch Center, • Schedule: Day shift, Monday-Friday", • Reporting to the Director Nursing, Ambulatory Services"*Sign on bonus offered to candidates who require relocation to New York Helpful Links: • Compensation Philosophy, • Benefits #LI-POST #LI-ONSITE #IND Pay Range: $164,100.00 - $270,900.00 FSLA Status: Exempt Closing : At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Credit Analytics Location: (NYC) Hybrid The Role This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management. Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read. A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. Key Responsibilities: * Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems. * Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies. * Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment * Drive profitable business growth via developing strategy optimization framework with full credit-cycle view * Implement Quality Control processes to ensure data accuracy. * Continually enhance existing processes and reporting through automation, quality control, presentation and insights. * Effectively summarize and present results and insights to management. Qualifications: * Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred. * 5+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: * Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount) * Tuition reimbursement * Paid time off (15 days vacation per year) * Paid sick leave as determined by state or local ordinance, prorated based on start date * Paid holidays (11 days per year, based on start date) * Paid volunteer time (3 days per year, prorated based on start date) Target base salary is $120,000-$160,000, which is based on various factors including skills and work experience.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. Brief Description: The Sleep Access and Reimbursement Manager (ARM) is responsible for executing the Oxybate market access business plan pertaining to the assigned geography, working with provider offices and outpatient care centers to ensure both providers and their staff are educated on payer and reimbursement policies and procedures, as well as providing expertise on the REMS program and patient support services. The ARM will work in collaboration with Field Sales, Sales Management, Patient Support Services, Managed Markets, Trade & Distribution, internal commercial teams, and other cross-functional partners to achieve the business unit objectives. The ARM will also develop relationships with all key personnel, targeted physicians, office managers, and staff vital to making Jazz's products accessible within key customer accounts. Provider and account interface, as well as billing and coding education within compliance, will be a key focus. This position will also play a critical role in ensuring REMS provider and patient enrollment, education on REMS process and requirements, and serve as an expert on patient support services. Essential Functions/Responsibilities * The ARM will implement strategies that achieve Business Unit and Corporate goals and objectives. * Analyze Data and develop Action Steps * Establish and maintain strategic relationships with assigned providers and provider accounts. * Educate and enhance awareness and utilization of patient access services, ensure providers understand payer prior authorization requirements and information, and educate offices on coding and billing * Serve as a field-based expert on the REMS program processes and procedures, including enrollment requirements for providers and patients. * Educate and inform provider offices on available patient services, collaborating and communicating with the Patient Access group and the Specialty Pharmacy to ensure optimal customer experience. * Collaborate and coordinate with area and regional sales teams to develop payer and reimbursement action plans for key provider accounts. * Monitor, document, and communicate coverage policy and changes. * Collaborate with internal and external partners to maintain a payer coverage and reimbursement database, and communicate changes to field sales and sales management teams. * Collaborates with Managed Markets to educate customers surrounding Commercial Payers, state Medicaid Agencies, Managed Medicaid Organizations, Healthcare Maintenance Organizations, Pharmacy Benefit Organizations, Health Care Plans, GPOs, DOD and Veterans Integrated Service Networks and other strategic healthcare entities specific to assigned initiatives and product requirements. * Conducts annual business development reviews for Jazz corporate and division management, as well as required updates and reviews with assigned area and regional sales team(s). * Provide managed care and reimbursement training and educational activities for internal and external stakeholders. * Remain current on key managed care, reimbursement, and policy activities, as well as serve as an expert for Jazz on business trends within key provider accounts. * Ensure all pertinent information regarding current products, new products, competitive data and overall information important to Jazz is brought to the attention of proper company personnel. * Represent Jazz at various industry functions such as payer and reimbursement meetings, payer policy meetings, professional organization meetings, and other meetings as assigned. * Demonstrates territory planning, priorities, and time management specific to geographical area of responsibility * Maintains accurate expenses within budget, timely and accurate completion of all reports, correspondence, and records as required by Jazz. * Execution of all activities within the defined Jazz regulatory and compliance program. * Maintain company manuals, reports, computer systems, records, brochures, computers and other equipment assigned to the position. #LI-Remote Required Knowledge, Skills, and Abilities * BA/BS Degree (MBA preferred), and at least 5 years of pharma, biopharmaceutical, and/or medical device experience calling on field based customers with demonstrated successful track record. * Account Management and/or Reimbursement experience working in the provider office setting, building strong customer relationships. * Experience working with HUB, Patient Services, and/or REMS programs * Experience working with Integrated Health Systems-- preferred * Managed Care and Reimbursement Knowledge --preferred * Experience in building a team atmosphere with sales representatives, either with direct or indirect leadership authority. * Ability to make sound decisions within time/resource constraints. * Proven skills in strategic decision-making and problem-solving. * Excellent analytical skills focusing on key accounts and uncovering business opportunities. * Experience working with billing and medical claims personnel in healthcare settings preferred. * Proficient with MS Office including Excel, Word, PowerPoint preferred * Candidates should live near a major airport and be willing and able to travel approximately 70-75% of the time (average 3-4 days per week). Required/Preferred Education and Licenses * BA/BS Degree (MBA preferred) * CPC, PAC or similar coding certification preferred, not require Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $148,000.00 - $222,000.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Leukemia & Transplant Senior Oncology Account Manager is responsible for direct promotion of Jazz Pharmaceuticals’ products, and the development and management of business relationships with therapeutic specialists within an assigned geographical territory. The Senior Oncology Account Manager (OAM) is an integral part of the commercial team that includes all personnel dedicated to the sales and marketing functions. The Senior Oncology Account Manager will implement Jazz Pharmaceuticals’ marketing strategies and marketing tactics to achieve sales goals through short-term and long-term objectives. This position reports directly to the Regional Sales Manager and covers New York City and Long Island, NY. Key Skills: Strategic Account Management: * Customer Understanding * Possess strong sales analytics capabilities with demonstrated understanding of prescribing and purchasing decision processes and any marked differences from national trends * Demonstrate a thorough understanding of: * Internal customer business models - how profit is generated, business and financial risks, cost impacts of managing patient care * External customers - current reimbursement landscape/ managed care, payer issues and trends, and other factors which inform the development of one’s annual territory business plan * Gain understanding of customer needs through thorough research and analysis to understand the specific needs and requirement of each customer/and or account * Identify key stakeholders within the account and understand their roles, priorities, motivations and patient needs * Proven excellence to leverage all available resources - dashboards, alerts, omnichannel reports, speaker programs, conference attendance * Actively gain customer insights and provide timely feedback to cross-functional partners and regional sales manager regarding account business trends, changes in the therapeutic landscape, performance, industry issues and business opportunities and obstacles * Strategic Planning: Keep the needs and expectations of the customer/patients at the forefront of all that we do * Define clear, measurable objectives that align both with the company goals and the goals and needs of the customer * Develop tailored strategies and tactics to address the unique needs and challenges of each customer * Determine the resources required to execute the strategic account plan effectively * Continuously review and adjust the strategic account plan based on activities, feedback, changing market conditions and evolving customer needs * Develop and implement customized account strategic plans with clear next steps, specific strategies and tactics and appropriate utilization of resources while meeting the needs of our customers * Demonstrated collaborative efforts with cross-functional teams including marketing, medical affairs and market access to align and execute on account strategies to achieve common business objectives * Work with customer facing colleagues to facilitate achievement of the respective functional tactical objectives * Recognize changes in the work environment to ensure effective development and implementation of alternate plans to achieve objectives, modify call plan/business plan activities as needed * Strong ability to identify patterns and trends from multi-source data (OmniChannel) for divergent collaborative problem solving Teamwork & Collaboration: * Maintain an enterprise mindset and cross-functional thinking to maximize one Jazz customer engagement * Highly effective at leveraging cross-functional partnerships with marketing, medical affairs and market access with the goal to advance Business Unit and organizational interests * Engage and align with cross-functional partners to mobilize resources and ideas to deliver to successfully meet customer and patient needs * Actively shares insights and best practices across the team; demonstrates trust in others by consistently finding opportunities to contribute to their effectiveness and impact * Work effectively with customer facing colleagues to facilitate achievement of the respective functional teams tactical objectives * Lead where appropriate as the main point of contact for designated accounts and collaborate with cross-functional partners to create a streamlined, organized interface between account stakeholders and all field facing colleagues Selling Effectiveness: * Effective promotion of Jazz Pharmaceuticals Adult Oncology products to physicians and other health care providers within the designated area at both community and Academic centers * Institute a network-selling mindset to customer relationships, seeing them as part of a connected healthcare ecosystem to broaden connections across an account * Stay abreast of industry trends, competitive landscape, and clinical developments in oncology to effectively communicate product differentiation and value proposition * Ability to adapt quickly to new tools and resources for successful customer engagement; leverages analytics to assist with developing insights and next best action plans * Identify, establish and maintain strong relationships with key physicians, health care providers and organizations within assigned territory Product and Scientific Knowledge: * Educate physicians and other health care professionals about Jazz Pharmaceuticals product(s), providing the most current information about the approved indications for the company’s products within the current disease areas of focus: pediatric and young adult acute lymphoblastic leukemia (ALL) and bone marrow transplant * Demonstrates a superior level of effectiveness in communicating, educating, and consulting across multiple disease states * Effectively and appropriately responds to the customer’s questions about other approved products/therapies, based on the clinical information contained in the package insert and per company compliance guidelines * Demonstrate to customers and internal team members a high level of clinical knowledge of a) the disease state, and b) Jazz product(s), based on the clinical information contained in the package insert * Demonstrates confidence in appropriately challenging prescribers about treatment decisions associated with assigned product Execution: * Participate in organizing and facilitating meetings for the exchange of medical and product information in line with the company’s policies, regulatory and legal requirements * Represent company at live and virtual conferences, attend company meetings, educational events, training programs and functions as needed * Utilize CRM tools to effectively manage customer interactions, track sales activities and maintain accurate territory records * Present a positive and professional image of Jazz Pharmaceuticals, and ensure activities are consistent with and enhance the company’s ethical pharmaceutical marketing policies and procedures * Special projects as assigned * Comply with all legal/regulatory guidelines of the Food, Drug and Cosmetic Act, the Prescription Drug Marketing Act, the Pharma Code, OIG guidelines, and all other applicable federal and state regulations * Perform all activities within allocated budget Required Experience * Four-year college/university degree * Experience in Oncology * Excellent verbal and written communication skills with an effective presentation style both in face to face and virtual interactions to connect and build credibility with healthcare professionals * Ability to meet territorial travel requirements Preferred Experience * Post-graduate business school study, training * Minimum of 5 years in the oncology market * Strong clinical, technical and scientific knowledge of product(s); applicable disease states desired * Strategic thinker who can drive a strategic account business plan * Strong key account management experience working in complex academic and community accounts, identifying influential stakeholders, and working with them to better serve patients * Demonstrated history of strong business acumen, problem solving, effective prioritization, account management and effective sales data analytics skills * Skillful in fostering teamwork and collaboration in cross-functional account management * Results oriented with a proactive and Self-motivated approach to driving sales growth * Experience with pediatric and young adult ALL and bone marrow transplant highly preferred * Key Account & Market dynamics knowledge Description of Physical Demands * Frequent travel between meeting sites * Frequently operating a computer, printer, telephone and other similar office machinery * Frequent interactions with external contacts in their office environment with little exposure to excessive noise, dust, fumes, vibrations and temperature changes * Frequent computer laptop or tablet use, not usually at a workstation * Responsibilities may require a work schedule that may include working outside of “normal” work hours, in order to meet business demands * Frequent public contact requiring appropriate business apparel #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $155,200.00 - $232,800.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Regional Account Director is responsible for developing and managing all aspects of the relationship with assigned accounts, including regional commercial payers, PBMs and government payers. The Regional Account Director will represent the entire Jazz portfolio of products and be responsible for ensuring appropriate market access within assigned accounts. The Regional Account Director serves as the key Market Access point of contact to the field sales organization. The Regional Account Director will model the Jazz core values of integrity, passion, collaboration, innovation, and pursuit of excellence. Territory Includes North Carolina, South Carolina, Virginia, Maryland, Washington DC, New Jersey and West Virginia. Essential Functions * Execute on market access strategies to ensure appropriate access for Jazz portfolio of products within assigned Regional Accounts * Establish broad and deep relationships with targeted regional accounts (Regional Payers, PBMs, and Government Payers) and key decision-makers/influencers (e.g., pharmacy directors, medical directors, trade VPs, and directors) who impact coverage and reimbursement decisions. * Positively influence decision-makers, policies, guidelines, and contracts to facilitate timely and clinically appropriate coverage, access, and reimbursement for Jazz products. * Create, maintain, and execute stakeholder engagement plans for targeted regional accounts. * Represent Jazz and its products at industry events and conferences such as PCMA, AMCP, regional AMCP affiliate meetings, state pharmacy association meetings, Asembia, and others as appropriate to engage target accounts and industry stakeholders. * Create opportunities for live engagement with targeted accounts to deliver payer value propositions and business updates. * Collaborate with National Account Directors and field sales colleagues to leverage access opportunities and overcome access obstacles for Jazz products. * Cultivate and leverage an expansive network of relationships with key managed markets individuals within target payers (Pharmacy, Medical, Industry Relations, Case Management, Contracting Directors/VPs/Chiefs), industry organizations and other pharmaceutical companies. * Coordinate all Jazz activities and resources with target payers and serve as the single point of contact. * Collaborate across multiple internal channels to implement and execute Market Access Strategy * Conduct quarterly business reviews of market access landscape and opportunity with appropriate sales colleagues in each business unit * Collaborate with internal and external partners to ensure that all applicable Jazz reimbursement support services are optimized for target payers. * Ensure that all appropriate internal stakeholders, reporting tools and reimbursement support programs are kept up to date with Jazz product access and reimbursement information for target payers. * Identify opportunities to demonstrate or provide value to target payers and work with internal and external partners to develop and execute on these opportunities. * Anticipate potential obstacles within target payers and bring together all appropriate stakeholders to proactively develop mitigation plans. * Leverage all applicable marketing tools and resources to educate target payers on Jazz products, their associated diseases and the value that these products provide. * Create and maintain detailed account plans for each target payer and present these plans during regular business reviews with senior management. * Mobilize resources and senior management support to capitalize on new opportunities and/or to address unforeseen threats with target payers. * Help to inform managed markets and brand strategy development and management decisions by providing account and market segment subject matter expertise. * Negotiate rebate agreements with target payers as per strategy that are consistent with Jazz contracting guidelines and are compliant with applicable policies, laws and regulations. Desired Skills and Experience * At least 10 years of pharma/biopharmaceutical experience and 4 years of proven success as an Account Manager calling on regional commercial and/or government payers. * At least two years of experience in a direct management or team leadership role, either field or headquarters based. * Demonstrated ability to develop a network of relationships with key individuals within assigned Regional Accounts. * Demonstrated ability to effectively lead cross-organizational projects and teams with and without direct management authority. * Demonstrate and understanding of healthcare, payers, formulary/PDL development, coverage and reimbursement issues, and compliance laws and regulations. * Demonstrate a high level of proficiency across all Jazz core competencies of Business Acumen, Communication Skills, Critical Thinking / Decision-Making, Drive for Results, Influence and Impact, Interpersonal Skills / Self-Awareness, Planning and Organization and Self-Management / Development. * Demonstrate Jazz core values of integrity, passion, collaboration, innovation and pursuit of excellence. * Operate in a compliant manner that algins with company policies in all activities and communications. Preferred Education and qualifications * Must have BA/BS Degree (MBA, JD or PharmD preferred) * Experience with injectable or infused oncology or specialty products that are administered “incident to” a physician service (reimbursed as a medical benefit) preferred. * Experience with rare disease drugs, limited distribution, buy & bill, specialty pharmacy and HUBs * Experience with pull-through and contracting in a retail/generic market is preferred. * Ability to be flexible and manage change within a dynamic growing organization and an evolving health care marketplace as needs dictate. * Clinical knowledge in one or more of the follow therapeutic areas preferred: Sleep/Neuroscience or Oncology (injectable/oral). * Candidates should live near a major airport and be willing and able to travel approximately 60% of the time (average 3 days per week). #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $216,000.00 - $324,000.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications [choose correct set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Applied Researcher Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr Distinguished Applied Researcher (World Models) Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Richmond, VA: $311,900 - $356,000 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: 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. Team Description: 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. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Fast Retailing, recognized for our flagship brand UNIQLO and Theory, Helmut Lang, Comptoir Des Cotonnier, GU, PLST, and Princesse Tam Tam brands, operates with the mission of “Changing clothes. Changing conventional wisdom. Change the world.” and the concept of “LifeWear = ultimate everyday wear to improve everyone’s daily life.” Fast Retailing Group aims to become the world’s No.1 brand, loved by customers globally, by serving as an essential “clothing infrastructure” for everyday life. As business operations increasingly shift to digital platforms, establishing a robust global security framework for system development and operations has become a critical priority. This position seeks a professional who can assess the reality of our information systems, identify risks comprehensively, and lead the implementation of optimal security controls in collaboration with IT and business departments, thereby strengthening global information security. Department Overview: The Information Security Office is responsible for protecting customer personal data and all internal confidential information. Operating globally with a diverse team, the office develops and enforces security rules, provides education, and continuously monitors implementation across all regions. Headquartered in Japan, the team leads global initiatives to assess and mitigate security risks that may impact business operations. Rather than pursuing local optimization, the office designs and executes security strategies that are optimal for the entire group, working with a wide range of stakeholders, business functions, and technologies to implement and operate security solutions. Position Overivew: This position is based in North America (NYC) but primarily functions as part of the Global Headquarter (GHQ) team. In addition to GHQ responsibilities, the role may also support certain activities of the North America Information Security Office. As a member of the Global Security Operations Center (SOC), this role will handle security monitoring and Tier 2 incident response across multiple environments, including our e‑commerce platform, enterprise systems, and IaaS cloud infrastructure. The projects under this role are not limited to routine alert handling; rather, they involve complex, high‑autonomy initiatives such as: End‑to‑end oversight of monitoring improvements • Analyzing detection gaps in our EC, Enterprise, and IaaS environments, • Designing enhanced detection logic and workflows, • Identifying inefficiencies in existing SOC processes, • Proposing and implementing automation (e.g., SOAR workflows, log enrichment, playbook optimization), • Leading technical assessments and PoCs for new SOC technologies, • Designing deployment plans and integration strategies, • Executing rollout in coordination with global teams while owning the technical decision-making process These key projects require the ideal candidate to work independently, evaluate complex security challenges, design appropriate technical solutions, and drive the implementation from concept to completion. The expectation is not to perform basic alert monitoring, but to actively enhance the SOC’s capabilities by applying technical judgment, initiative, and ownership over key security improvements. Responsibilities: Based on your strengths and interests, you will take ownership of multiple areas from the list below: • Implementation, operation, and continuous improvement of cybersecurity technologies (e.g., WAF, AntiBot, email/web/endpoint protection), • Deployment and enhancement of insider threat prevention solutions (e.g., DLP, CASB, data security platforms), • Building and managing log monitoring infrastructure, including development of detection and monitoring content, • Planning and executing security assessments and cyberattack simulation exercises, • Responding to security incidents, conducting investigations, and driving technical remediation, • Performing other information security tasks necessary to support the company’s overall risk management Education & Qualifications: • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field, • 4-7+ years of experience in Cyber Threat Intelligence, Security Operations, Incident Response, and/or related roles, • Experience in incident response and related investigations, • Strong knowledge of Incident Response principles, framework, and processes, • Strong, analytical approach to problem solving and solution development, • Able to manage multiple projects and support functions in a fast-paced, dynamic environment. Salary: $95,000.00 to 120,000.00* *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, Fast Retailing does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state or local law. Ensure your Fast Retailing US job offer is legitimate and don’t fall victim to fraud. Fast Retailing never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for an interview and ensure your communication is coming from Fast Retailing or sister company email address. For added security, where possible, apply directly through our job posting.

🚀 Applied Scientist (Machine Learning / Data Science) 📍 Remote (U.S.) | 🕒 3-Month Contract (Medical Leave Coverage) 💼 4–8 Years Experience IntePros is currently seeking an Applied Scientist to support a leading streaming/media organization (MGM+ environment). This is a high-impact, short-term contract focused on advancing data-driven decision making across content strategy, audience engagement, and subscriber growth. 🔍 What You’ll Be Doing • Evaluate and scope new data science initiatives that influence content acquisition, programming strategy, and subscriber growth, • Develop and enhance machine learning models for:, • Content recommendations, • Viewership prediction, • Subscriber behavior forecasting, • Campaign performance measurement, • Analyze streaming, audience, and social media data to generate actionable insights, • Perform customer cohort analysis to better understand user behavior and retention trends, • Partner cross-functionally with product, marketing, and content teams to drive data-backed decisions, • Bring innovative, algorithmic thinking to improve overall platform performance and user experience 🧠 What We’re Looking For • 4–8 years of experience in data science / applied science / machine learning, • Strong background in forecasting and predictive modeling (consumer behavior, engagement, etc.), • Experience with customer segmentation / cohort analysis, • Comfortable working in ambiguous, fast-moving environments, • Hands-on experience with:, • Python, • SQL, • ETL processes, • Excel (VBA a plus), • Generative AI tools and frameworks, • Experience working with large-scale datasets (streaming, behavioral, or product data preferred), • Media / entertainment industry experience is a strong plus 💡 Nice to Have • Exposure to recommendation systems, NLP, or predictive analytics, • Experience analyzing content performance or audience engagement metrics, • Familiarity with competitive intelligence or social sentiment analysis 📌 Why This Role? • Opportunity to work on cutting-edge ML applications in streaming/media, • Direct impact on content strategy and subscriber growth, • Fast-moving, high-visibility project with meaningful business outcomes

Home Infusion Registered Nurse – Accredo Specialty Pharmacy Join Accredo Specialty Pharmacy, part of Evernorth Health Services, and bring your nursing expertise to patients where they feel most comfortable—their homes. As a Home Infusion Registered Nurse, you’ll deliver life-changing care while building meaningful relationships and driving positive health outcomes. Responsibilities: Provide safe and effective administration of specialty medications (including IV infusion) in patients’ homes. Partner with pharmacists and care teams to ensure holistic patient well-being. Document assessments, treatments, and progress to maintain accurate patient records. Serve as the primary point of contact for patient updates and care coordination. Demonstrate autonomy in clinical decision-making to achieve optimal outcomes. Required Qualifications: Active RN license in the state of practice. Minimum 2 years of RN experience. At least 1 year in critical care, acute care, or home healthcare. Proficiency in IV insertion and infusion techniques. Valid driver’s license and ability to travel within a large geographic region. Availability for a 40-hour workweek, including evenings and weekends as needed. Preferred Qualifications: Bachelor of Science in Nursing (BSN). Experience with specialty pharmacy or infusion therapy programs. Benefits: Medical, Dental, Vision, and Life insurance 401k with strong company match Mileage reimbursement and/or company car 26 Paid Days Off (18 days PTO, plus 8 company holidays) Merit and Bonus eligibility If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 79,200 - 132,000 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here . About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Chief Technology Officer The Chief Technology Officer is a key member of the executive team responsible for defining and executing the technology vision that powers our grocery retail business across stores, e-commerce, and supply chain. This role leads all technology functions, including IT, infrastructure, store systems, digital, data, and cybersecurity, to deliver secure, reliable, and innovative solutions that drive sales growth, operational efficiency, and outstanding customer experiences. Chief Technology Officer Role: Develop and own a multi-year technology roadmap aligned with company growth, merchandising, operations, and e-commerce strategies. Partner with the CEO and executive team to translate business goals into a clear, prioritized portfolio of technology initiatives and investments. Stay current on grocery and retail tech trends (unified POS, automation, AI, digital traceability, IoT) and turn them into practical, value-creating initiatives. Oversee strategy and performance for store technology, including POS, self-checkout, mobile POS, price/shelf systems, and in-store Wi-Fi and devices. Ensure high availability and resilience of all store systems to minimize downtime and protect sales and customer satisfaction. Drive automation and smart store capabilities, including inventory automation, real-time shelf monitoring, and labor-saving digital tools for associates. Own the technical strategy and performance for our e-commerce platforms, mobile apps, and digital experiences, from ordering and delivery to loyalty and personalization. Enable seamless omnichannel journeys (delivery, curbside, BOPIS, subscriptions) through unified inventory, order orchestration, and customer data across channels. Partner with Marketing and Merchandising to leverage data and digital tools for targeted promotions, recommendations, and customer engagement. Define the data architecture and governance needed to support real-time decision making in merchandising, pricing, supply chain, and store operations. Lead the adoption of advanced analytics and AI for demand forecasting, dynamic pricing, inventory optimization, space planning, and customer insights. Establish KPIs and dashboards that track technology performance, customer experience, and business outcomes. Oversee enterprise IT infrastructure (networks, cloud, data centers, endpoints) to ensure secure, scalable, and cost-effective operations across all locations. Lead cybersecurity strategy and execution, protecting customer, payment, and operational data in compliance with PCI and applicable privacy regulations. Implement robust business continuity and disaster recovery plans for stores, distribution centers, and digital platforms. Build, mentor, and retain a high-performing technology organization covering engineering, IT operations, products, data, and security. Establish clear objectives, processes, and operating rhythms (e.g., agile delivery, change management) to improve speed, quality, and reliability. Manage technology budgets, vendor relationships, and major contracts, ensuring strong ROI and alignment with the technology roadmap. Chief Technology Officer Background Profile: 5+ years of progressively senior technology leadership experience, including prior accountability for large-scale retail, grocery, or consumer-facing environments. Demonstrated success leading omnichannel initiatives that integrate store, POS, and e-commerce systems into a unified customer experience. Deep understanding of retail technologies such as POS, ERP, WMS, e-commerce platforms, CRM/loyalty systems, and data/analytics platforms. Proven experience in modernizing legacy systems and migrating to cloud-based architectures, APIs, and event-driven integrations. Strong background in cybersecurity, data privacy, and compliance in a high-transaction, regulated environment. Exceptional leadership, communication, and stakeholder management skills, with a track record of influencing at Board and C-suite levels. Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred. Features and Benefits of Client: Comprehensive medical, dental, and vision insurance. Generous PTO Supportive, collaborative team culture. 401(k) with company match Bonus incentive plan

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Director, Applied AI Product Manager: At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Director, Applied AI Product Manager to join our Innovation Team and lead AI-driven business transformation initiatives that reimagine how work gets done across the bank. This leader will combine deep technical fluency in AI systems with strong product strategy and execution experience in large, complex organizations. The ideal candidate has successfully built and scaled AI-enabled platforms, led multidisciplinary teams, and driven measurable business outcomes in regulated enterprise environments. This role is located in New York, NY (4 days in office per week). Role Overview: As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready. In this role, you’ll make an impact in the following ways: Product Vision & Strategy * Define and own the product vision, strategy, and roadmap for AI-driven business process transformation initiatives with key business stakeholders * Responsible for client segment strategies, market/competitive analysis, pricing, commercialization and GTM, revenue/organic growth objectives * Align roadmap priorities to enterprise modernization, AI strategy, and operational efficiency objectives * Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and enhance decision intelligence (transform business processes into digital products) * Translate ambiguous, complex business problems into clear product tenets, PR/FAQs, and scalable execution plans * Champion an AI-first mindset across the organization, embedding modern product thinking and experimentation frameworks AI-Native Process Reimagination at Scale * Oversee orchestration frameworks spanning: * Event-driven architecture * APIs and microservices * Workflow engines and state management * Metadata-aware retrieval systems * Multi-agent coordination models * Balance innovation velocity with enterprise-grade reliability and governance * Partner with Engineering and Data Science to operationalize AI at scale, incorporating model lifecycle management, observability, guardrails, and performance optimization * Ensure responsible AI governance, addressing bias, explainability, privacy, data security, and operational resilience Execution & Cross-Functional Delivery * Influence senior executives on investment prioritization and enterprise adoption * Translate complex AI and agentic concepts into clear, outcome-driven business narratives * Drive adoption through executive storytelling and structured change management * Lead a high-performing product team with strong systems-thinking capabilities * Remove blockers, align stakeholders, and ensure consistent value delivery across concurrent workstreams Enterprise & Stakeholder Leadership * Partner with senior executives and enterprise stakeholders to align AI strategies with business objectives * Role model practice proficiency + liaison responsibilities across product, design, engineering, and commercial practices to communicate vision, strategy, progress, and measurable impact to leadership * Drive field-to-product feedback mechanisms to continuously refine AI solutions for enterprise-grade performance * Enable adoption through playbooks, governance frameworks, and change management strategies Impact Measurement & Outcomes * Define and track clear success metrics including: * Multi-product portfolio integration, trade-off decisioning, portfolio scorecards and enterprise checkpoints (OKRs, controls) * Productivity gains and operational efficiency improvements (e.g., 20-50% time reduction) * Cost savings and automation impact * Risk mitigation and compliance enhancements * Client experience and engagement growth * Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation To be successful in this role, we’re seeking the following: Required * Bachelor's degree in STEM, Economics, or related discipline * ~10+ years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery * Strong understanding of: * Generative AI and LLM-powered systems * Agentic architectures and orchestration frameworks * Distributed systems and microservices * Event-driven design * APIs and integration layers * Metadata indexing and retrieval systems * AI lifecycle management and model performance metrics * Experience operationalizing enterprise-grade AI systems with: * Secure tenant-aware access controls * Observability and telemetry * Production reliability standards * Demonstrated ability to influence senior leadership and drive alignment across large organizations Preferred * Experience in highly regulated industries * Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises * Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization. * Advanced degree preferred At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: * America’s Most Innovative Companies, Fortune, 2025 * World’s Most Admired Companies, Fortune 2025 * “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $260,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

We are seeking a dedicated and experienced Registered Nurse Weekend Supervisor. This role is ideal for a nurse who thrives in a leadership position and is committed to delivering high-quality patient care during overnight weekend shifts. The position offers consistent scheduling with the opportunity for additional hours. Key Responsibilities • Supervise and support nursing staff during weekend night shifts, • Ensure high standards of patient care and safety are maintained, • Act as the primary point of contact for clinical and operational issues, • Coordinate staffing assignments and workflow, • Monitor patient conditions and respond to emergencies as needed, • Ensure compliance with facility policies, procedures, and regulations, • Collaborate with interdisciplinary teams to optimize patient outcomes, • Provide guidance, mentoring, and leadership to nursing staff Qualifications • Active Registered Nurse (RN) license (State of New York), • Active Registered Nurse (RN) license, • BSN (Bachelor of Science in Nursing) – Required, • BLS (Basic Life Support) Certification – Required, • Previous supervisory or charge nurse experience preferred, • Strong leadership, communication, and decision-making skills, • Ability to work independently in a fast-paced environment Important Details: • 13-week contract position, • Shift is 12 hrs/Nights Sat–Sun | 8:00 PM – 8:00 AM | 24 hrs/week, • Location is Brooklyn, NY 11219, • Hourly Pay Range: $70 - $74 Call to Action: • Spots Are Filling Quickly — Apply Now! Company Description: “Pride Health offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors”

Senior Vice President, Equities and Fixed Income Front Office Engineering Lead (Full-Stack Engineer) At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Senior Vice President, Equities and Fixed Income Front Office Engineering Lead – Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partner with Product, Trading, and end clients to analyze, define, challenge, and solution technical trading workflows., • Manage and mentor a high performing engineering team, • Play a key role in the design, architecture, and implementation of:, • Trading research platform, • Real-time decision support service, • Reporting platform and service, • Build a historical and real-time data management platform for a global, multi-asset trading organization., • Design and architect API-driven solutions, utilizing open-source resources., • Partner with extended BNY Controls, Risk and Networking teams to maintain overall architecture and trading compliance, • Drive with an AI first mind-set towards automation and code-refactoring, • Drive system stability and reliability through data quality and automation to mitigate risks associated with trade execution., • Strong understanding of either Equities or Fixed Income trading workflows, • Experience working with Execution Management Systems (EMS) and Order Management Systems (OMS)., • FIX protocol/messaging knowledge, • Experience managing a team of highly skilled engineers, • Experience in Python coding. Java or C plus is a plus., • Experience with Equities, Derivatives, Futures, FX, and/or Fixed Income data, analytics, and reporting., • Broad experience with front-end and server-side, multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $116,000 and $240,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. As we continue to grow as one QuidelOrtho we are seeking a Program Lead, Digital Informatics QMS Strategy. This Program Lead is responsible for developing, maintaining, and communicating QuidelOrtho' s Quality Management System strategy for Digital Informatics, Software as a Medical Device (SaMD), Artificial Intelligence (AI/ML), and Automation platforms as they pertain to in vitro diagnostic (IVD) products and associated services across all global markets. This role serves as the strategic quality authority for digitalenabled products, ensuring that regulatory, quality, and compliance expectations are proactively embedded into product lifecycle processes, digital delivery models, and organizational ways of working. This position will be onsite in Rochester, NY. * Define and evolve the global QMS strategy for digital health technologies, including SaMD, AI/MLenabled systems, cloudbased platforms, and automated workflows. * Interpret and operationalize global regulatory and standards requirements (e.g., FDA, EU MDR/IVDR, ISO 13485, IEC 62304, ISO 62366, ISO 14971, GxP data integrity) as they apply to digital and informatics solutions. * Partner with R&D, IT, Product Management, Regulatory Affairs, PMO, and Technical Quality to ensure quality by design is embedded throughout the digital product lifecycle. * Establish governance models, procedural frameworks, and decision pathways that enable agile and scalable digital innovation while maintaining regulatory compliance. * Lead riskbased approaches for software lifecycle management, cybersecurity, data governance, AI/ML change control, and algorithm performance monitoring. * Serve as a thought leader and internal consultant on emerging regulatory expectations related to AI/ML, realworld data, automation, and digital transformation. * Perform other work-related duties as assigned. Required: * Bachelors and/or technical degree in Life Sciences, Pharmacy, Engineering, Computer Science, Biomedical Engineering or a related technical discipline. * 8-10 years of progressively responsible experience within a regulated Quality Management System environment, with significant exposure to software, digital health, or informatics solutions. * Demonstrated ability to lead QMS strategy development and influence senior stakeholders across complex, matrixed organizations. * Strong understanding of global regulatory frameworks applicable to digital health, SaMD, AI/ML, and automated systems. * Proven experience applying risk management, design controls, software lifecycle processes, and post market surveillance to digital products. * Ability to translate regulatory and quality requirements into practical, scalable processes that support innovation. * Bias toward action, with a track record of driving execution aligned to organizational strategy. * Excellent written and verbal communication skills, including the ability to represent quality positions to executive leadership. * Strong collaboration skills and the ability to operate effectively across technical, regulatory, and business functions. * Willingness and ability to travel approximately 10-15%. Preferred: * Advanced degree (MS, PhD, or PharmD) strongly preferred. * Experience with AI/ML governance, algorithm change management, or real-world performance monitoring. * Background in cloudbased systems, cybersecurity, data integrity, or regulated automation platforms. * Experience supporting global regulatory inspections involving software or digital health products. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, GSO, Quality & Compliance teams globally and regionally. External: Regulatory agencies, Notified Bodies, Contract manufacturers, Suppliers, and service providers. The work environment characteristics are representative of a manufacturing, laboratory, or warehouse environment. No strenuous physical activity. Standard activities include sitting, standing, walking, talking, hearing, and visual work. May include occasional travel for site visits, leadership meetings, or regulatory support. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $155,000 to $202,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

Over the span of more than 16 years, Miramar Global Executive Search has grown to become one of the most respected and highly recommended Executive Search and Recruiting firms in the country. Miramar Global is a leader in executive search, talent acquisition and high performance leadership coaching. We help the greatest companies fulfil their ambitions by providing world-class talent. Serving the most innovative companies in the world across technology, automotive, science, industrial and consumer markets, we combine deep commercial insight with leading-edge head-hunting capabilities to deliver high performing talent that sets our clients apart. Operating from our offices in North America, London, Dubai, Zurich, Singapore and Cape Town, we deliver a unified global service. Companies hire us to identify, assess and recruit ‘best in class’ forward thinkers that will future-proof their business whilst driving continued success and growth. We assist our customers to outpace their competition through delivering executive teams with a combination of diversity, creativity, technical prowess and commercial rigor. Our goal is to deliver innovative talent solutions that challenge thinking, whilst bringing creativity and effectiveness in a recruitment process. Location: New York, NY (Midtown Manhattan office 2-3 days per week) Role: Executive Search and Recruiting, Senior Candidate Management, Team Management, Search Delivery Excellence Salary: Commensurate with Experience ROLE OVERVIEW You will be responsible for managing senior searches for the US business, working closely with the US Managing Partner and Principals. You will collaborate closely with the search team, provide strategic guidance, optimize search processes to enhance efficiency and effectiveness and drive delivery excellence throughout. You are an integral part of Miramar’s success in delivering exceptional candidate and client experiences. As part of the engine room for the business you will be providing insightful information, through a variety of tasks, including industry research, headhunting, candidate qualification, process management and client co-ordination. As a Principal, you will lead client delivery with our Partners. This role requires at least 5 years of retained executive search experience ideally. KEY RESPONSIBILITIES • This role is critical to the continued success of the US business, responsible for developing and implementing best practices for search operations, focusing on streamlining processes, enhancing efficiency, and delivering exceptional candidate & client experiences., • Lead the search delivery team, providing guidance, coaching, and mentoring to ensure consistent high-quality delivery across all search assignments., • Collaborate with search partners and consultants to understand client requirements, develop customized search strategies, and deliver successful outcomes., • Drive continuous improvement initiatives, regularly assessing and enhancing search methodologies, tools, and technologies to stay ahead in a competitive market., • Implement performance metrics and track key performance indicators (KPIs) to monitor and evaluate search delivery effectiveness, providing regular reporting and insights to leadership., • Foster a culture of excellence, knowledge sharing, and learning within the search delivery team, promoting professional growth and development opportunities., • Stay updated on industry trends, market insights, and emerging best practices, leveraging this knowledge to drive innovation and operational excellence., • Collaborate with internal stakeholders to improve cross-functional collaboration, ensuring effective communication and coordination between search delivery and sales principals., • Build relationships with senior candidates within selective industry specializations, building long term relationships and candidate pipelines., • Managing client search kick-off meetings, leading the development of the search strategy, overseeing, and leading project timescales and running regular assignment update sessions with clients., • Conduct all interviews with senior executives on assigned searches., • Manage and support candidates through the interview process, providing them with an exceptional service and after care., • To act as a mentor and guide to delivery team members, and a business partner to the wider organization., • Be a ‘Miramar - best practice champion’ – driving process orientated global standards, continuously focusing on customer experience and satisfaction., • Ensure the Invenias database is accurate and up to date at all times. PREVIOUS EXPERIENCE • Proven experience in executive search, including search delivery & operational excellence. (Ideally the successful candidate will have at least 3-5 years of experience working at a Retained Executive Search firm)., • Strong knowledge of executive search processes, methodologies, and best practices., • Demonstrated leadership skills with the ability to lead, inspire, and mentor a team., • Excellent communication and interpersonal skills, with the ability to engage with clients, candidates, and internal stakeholders effectively. Analytical mindset with the ability to drive data-driven decision-making and performance improvements., • Exceptional organizational skills and attention to detail, capable of managing multiple projects simultaneously., • Proficient in using search tools, databases, and technology platforms., • Results-oriented mindset with a focus on delivering exceptional candidate experiences and achieving business objectives., • Demonstrated ability to adapt to changing priorities and navigate in a fast-paced, performance focused environment. ABOUT US • Miramar is an open and entrepreneurial environment, we enjoy working together and actively nurture a cohesive, high-performance culture., • Everyone in the business meets for virtual ‘townhalls’ every two weeks. We regroup and connect as a global company, discuss projects, themes, news and share successes from around the business., • Each staff member has a bespoke business and personal development plan, supported through regular meetings with their Regional Partners and our Global Operations Director., • The company enjoys regular socials, including key events during summer and winter. Annual trips to the UK Headquarters. PERSONAL DEVELOPMENT We will take an active role in supporting and developing your career, with regular one to one sessions, monthly performance meetings and regular training workshops. We use professional performance coaches and leading figures to support the Miramar team in ensuring positive wellbeing and productivity.

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

Summary of Job Provide a bridge between analytics and strategic client engagement and EmblemHealth’s largest and most complex account: the City of New York. Provide insight and guidance in the decision-making process. Grounded in data and insight generation, serve as a client-facing, strategic planning partner that supports the SVP and AVPs in shaping the City of New York product portfolio. Prepare and present performance narratives for monthly City meetings, partner with Finance, Network, Medical Management, and Product teams, and ensure insights drive both operational excellence and strategic growth. Responsibilities • Research and utilize appropriate metrics and analytics to track performance and identify/predict potential issues that could impede EmblemHealth’s ability to deliver outstanding results., • Develop and maintain dashboards, scorecards, and reporting packages for internal and external stakeholders., • Partner with Finance and Analytics to track financial performance, utilization trends, and cost drivers., • Collaborate with Network, Medical Management, and Product teams to synthesize clinical, operational, and strategic insights., • Serve as an analytical advisor to AVPs, ensuring alignment between data insights and business objectives across product strategy, client engagement, and partnership governance., • Translate complex data into clear recommendations for AVPs, supporting portfolio planning, performance improvement, and monthly City of New York meetings., • Prepare and deliver data narratives and performance summaries for monthly City of NY meetings, demonstrating executive presence and client-facing communication skills., • Ensure that presentations are clear, concise, and complete – and provide actionable information to all stakeholders., • Identify trends, risks, and opportunities across the account and recommend strategic actions., • Provide ad hoc analysis to support strategic initiatives. Qualifications • Bachelor’s degree in business, analytics, data science, or related field; Master’s preferred, • 10 – 12+ years of experience in healthcare analytics, reporting, or strategy (Required), • Knowledge of healthcare environment, products, and processes (Required), • Strong proficiency in Excel, Power BI/Tableau, and SQL or similar tools (Required), • Experience in client-facing roles with demonstrated executive presence (Required), • Ability to communicate data-driven insights to senior stakeholders and external partners (Required), • Background in payer analytics or public sector healthcare (Preferred), • Strategic planning experience and ability to partner with product teams (Required), • Enthusiasm for engaging with AI solutions (e.g., Co-Pilot) to enhance and expedite all deliverables (Required)

Overview KORRES is a Greek natural beauty brand built from powerful natural ingredients, delivering clean, effective formulas nurtured by science. With a 30-year history and a presence in more than 30 markets globally, KORRES brings plant-powered skincare to life through a balance of tradition, scientific research, and proven efficacy. KORRES is seeking a CRM Senior Manager to build, scale, and optimize our lifecycle revenue engine across email and SMS for the US market. This role will drive customer retention, repeat purchase behavior, and lifetime value through data-driven segmentation, personalized journeys, and strategic experimentation. This position is both strategic and hands-on, requiring a balance of lifecycle planning, campaign execution, analytics, and operational excellence. Key Responsibilities CRM & Lifecycle • Own end-to-end lifecycle revenue growth across email, sms, and loyalty, accountable for delivering year-over-year retention and LTV targets, • Develop and execute end-to-end lifecycle strategies across Email and SMS, including onboarding, post-purchase, replenishment, and reactivation, • Own and manage the CRM campaign calendar aligned with launches, promotions, and brand priorities, • Define segmentation and personalization frameworks that drive retention, repeat purchase rate, and CLV growth, • Own campaign execution and automation architecture, including workflows, trigger logic, cadence, and QA governance, • Troubleshoot audience, logic, and data-related issues Customer Insights, Engagement + Retention • Develop and optimize engagement levers including loyalty, incentives, referral initiatives, and value-based rewards, • Support new customer acquisition and lead monetization strategies, • Leverage behavioral, transactional, and loyalty data to build actionable segments, • Lead churn and cohort analysis to identify revenue risks and architect proactive retention strategies, • Translate behavioral and transactional data into personalized lifecycle strategies and revenue-driving initiatives Reporting & Performance Optimization • Own CRM and loyalty performance reporting, • Monitor KPIs including engagement, CTR, CVR, repeat purchase rate, and LTV, • Translate results into actionable insights and optimization strategies, • Lead A/B and multivariate testing across messaging, creative, cadence, and offers CRM Infrastructure & Database Health • Maintain ownership of CRM tech stack performance, • Ensure list hygiene, deliverability, and database health, • Monitor compliance with privacy and communication regulations, • Evaluate new tools, features, and CRM capabilities, • Support vendor and budget oversight KORRES Circle Loyalty Program • Own the strategy and evolution of the KORRES Circle loyalty program, building experiences that reflect our Greek heritage and science-led lab expertise, • Manage daily loyalty program performance, including member acquisition, engagement, redemption behavior, and churn, • Develop loyalty campaigns, rewards, and experiences aligned with the broader marketing calendar, • Analyze loyalty performance alongside product and margin data to drive LTV, profitable growth, and repeat purchase, • Connect with the development team for loyalty platform updates, features, and optimizations Cross-Functional Collaboration • Partner with Creative, E-Commerce, Brand, and Analytics teams, • Align CRM initiatives with broader GTM strategies, • Collaborate with external partners and agencies as needed, • Present performance insights and strategic recommendations Qualifications Required • Bachelor’s degree in marketing, business, analytics, or related field, • 4+ years of experience in CRM, Lifecycle, or Retention Marketing, • Hands-on proficiency with Attentive, Klaviyo, Wunderkind, and Shopify Plus, • Familiarity with Triple Whale or similar analytics platforms, • Familiarity with SAP or similar ERP systems, • Strong analytical mindset with experience owning revenue goals and interpreting campaign data Preferred • Ability to balance strategy, execution, and analytics, • Excellent project management and prioritization skills, • Detail-oriented with strong QA discipline, • Data-driven decision maker, • Strong cross-functional collaboration skills Role Details Salary: $130K-$140K Role type: Full-time Work model: Hybrid (3 days/week in NYC office T-TH) Level: Senior Manager Location: NYC Travel: Limited, occasional

Overview: AmTrust Financial is seeking an ambitious and self-motivated intern to join the Excess & Surplus (E&S) Home Office Underwriting team this summer. In this role, you will leverage your analytical and data skills to help solve complex business issues impacting E&S Underwriting. This role may serve as a liaison between the E&S Home Office Underwriting department and all of the other departments that interface with the group. Responsibilities, May Include: • Be a key member of the Home Office Underwriting team that is accountable for the governance and operational performance of the E&S Underwriting group., • Working independently, effectively manage assigned project(s) using available tools and data systems to develop hypothesis, test and solve for strategic business issues within the company data/reports; troubleshoots when there are inconsistencies and presents findings to management., • Support development of business reporting tool(s) that monitor and drive Underwriting benchmarking and KPI tracking., • Collaborate across data analytics, IT, finance, underwriting business units and other corporate functions to gather relevant data and insights., • May assist in the preparation of any weekly, monthly, quarterly and/or annual reporting for the Underwriting units. Desired Qualifications: • Rising Senior (graduating in December 2026 or May 2027) actively pursuing a bachelor’s degree in a data-oriented field of study. This can include Data Science, Data Systems/Architecture, Analytics, Actuarial Science, Statistics, or related field with a demonstrated level of data analysis (e.g. Economics or Finance)., • Strong level of comfortability working in a data environment that may be limited, fragmented, or incomplete and seeing issues through to resolution, • Proficiency with data analytics software (MS-SQL or Snowflake preferred) and skilled in linking multiple data sources to organize data into a logical format for analysis. Experience with R and/or Python a plus but, not required., • Proficiency in Microsoft Office tools, particularly Excel, • Familiarity with PowerBI or other business intelligence tools (e.g. Tableau), • Excellent written, verbal, and interpersonal communication skills., • Strong organizational, analytical, and interpretive skills; attention to detail., • Ability to effectively multi-task and work in a fast-paced, team-oriented environment., • Minimum 3.0 cumulative GPA; additional requirements may apply The expected compensation for this role is $25/hour Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

About Proximo Spirits Proximo Spirits is a global leader in premium and craft spirits, home to iconic brands including Jose Cuervo®, 1800® Tequila, Kraken® Rum, and Bushmills® Irish Whiskey. We are driving growth through bold innovation, entrepreneurial energy, and a relentless focus on commercial excellence. Position Summary This leadership role is responsible for a technical team of 5 based across NJ (corporate office) and IN (manufacturing site). Works closely with Operations and Marketing teams in developing premium, innovative, first-to-market products, while driving existing margin enhancements. Acts as the gate keeper for the NPD Stage Gate process, ensuring adherence to standards and cross-functional collaboration. Evaluates and resolves technical feasibilities, design optimizations, and manufacturing capabilities. Most importantly, builds & develops talent within the organization to provide bench strength and career growth opportunities. Role & Responsibilities • Manages the NPD process to ensure quality, efficiency, profitability for the Proximo produced brand portfolio., • Continuously matures the Stage Gate process, by developing and fostering professional relationships with Marketing colleagues., • Works across functions in establishing component design, material selection, process technology, liquid compatibility, assembly feasibility and vendor strategy to meet profitability targets of the business., • Manages project budgets and prepares financial analyses for reviews with the Executive Leadership Team., • Ensures that product launch deadlines and gross margin targets are set according to pre-agreed standards., • Fosters a Continuous Improvement mindset in optimizing quality, cost and assembly performance of existing products., • Benchmarks across the industry by attending trade shows, technology seminars, etc. to bring the latest market innovation opportunities into the organization., • Leads, coaches, and develops a team that provides meaningful and actionable insights/opportunities for the broader organization., • Builds talent and succession plans to grow the pipeline of future leaders at Proximo. Key Competencies • PMO--Strong in program management: prioritizes, plans, and communicates work activity across a broad suite of projects. Sets goals & objectives, organizes timelines and realistic action plans., • Business Acumen--Understands business implications of decisions. Demonstrates knowledge of market and competition, aligns work with strategic goals., • Analytical--Synthesizes complex information into actionable insights, using intuition and experience to complement data., • Quality Management--Continuously seeks ways to improve quality; demonstrates accuracy and thoroughness., • Adaptability--Adapts to changes in priorities, manages and prioritizes competing demands., • Managing Team -- Includes direct reports in planning, decision-making, and process improvements. Ensures accountability throughout the team, provides regular coaching. Key Relationships • Internal: Marketing, Global Supply Chain & Manufacturing & Operations, • External: Supplier base & 3rd Party contract manufacturers Knowledge and Experience • Technical bachelor’s degree required (Packaging Science degree a plus), • 5+ years’ experience in Spirits or related industry, • Managerial experience overseeing team of direct reports, • Proficiency Project Management software and techniques, • Working knowledge of SAP, • Excellent written and communication skills, ability to present to Executive Leadership Team The salary range for this role is a base salary of $134,400 - $168,500 along with an annual bonus, 401K match, and medical and wellness benefits. The range will vary if outside of this location. Base salaries are determined during our interview process, by assessing a candidate’s experience and skill set against internal peers and against the scope and responsibilities of the position. Proximo is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment based on race, color, sex (including pregnancy), sexual orientation, gender identity or expression, religion, national origin, citizenship status, age, genetic information, physical or mental disability of an otherwise qualified individual, membership or application for membership in a uniformed service, engaging in legally protected activity, or any other characteristic protected under applicable law.

One of the top Hedge Funds is looking to hire a Data Analyst/Associate. Coverage includes Financials, Consumer, TMT, Healthcare, and Energy/Industrials. The opportunity to turn high-velocity, unstructured alternative data into sector-deep signals that inform investment decisions Your impact  Triangulate investor theses with data analyses that inform entry/exit, sizing, and risk.  Build scalable pipelines, features, and tools used across teams; produce promising research.  Partner directly with PMs/analysts; deliver time‐critical insights with clear caveats and recommendations.  Evaluate and sequence research requests, translating investment hypotheses into actionable data analyses.  Collaborate within a team of data scientists to design and maintain shared infrastructure, including tooling and ETL/feature pipelines, with testing, CI, observability, versioning, and lineage. Ideal background  5+ years in alternative data, statistics, data science, or quantitative research.  Python + SQL proficiency; exceptional data modeling, testing, and tooling.  Bridges data and investing - clear communicator who partners with investors to convert technical depth into decision-driving guidance.

Senior Director, Marketing for American Technion Society – New York Metro Region (Hybrid: 2 days week in person) Our Mission Cultivate a growing network of supporters who fuel the Technion’s global innovation engine to create a better future for Israel and humanity. Our Vision Together, as one team, we enable breakthrough science and engineering, the education of future leaders, and the strengthening of Israel and the global community through innovation. ATS represents thousands of U.S. donors, alumni, and stakeholders, and has supported Technion scholarships, research, labs, and facilities for more than 80 years. Our team of 70+ professionals works across NYC and regional offices nationwide. Your Role The Senior Director, Marketing develops and executes innovative strategies that amplify the Technion brand in the U.S. to raise funds, recruit supporters, and educate diverse audiences. Grounded in mission and data, this leader: • Creates persuasive, donor‑centric content and marketing collateral, • Supports major gifts and annual fund initiatives, • Grows the ATS donor base, • Uses donor research, data insights, and market segmentation to move prospects through the donor journey You will supervise a team of content developers and oversee direct response fundraising, impact report development, social media, video content, graphic design, messaging, and brand integrity. This role also ensures the marketing department serves as a strategic internal agency partner to teams across ATS. Primary Duties: Creative & Editorial Leadership • Co‑lead the creative vision and editorial strategy with the CMO across all channels, ensuring consistency, clarity, and brand integrity., • Develop audience‑specific strategies tailored to geography, donor segment, and constituency., • Create and maintain the annual department calendar, including the editorial calendar. Content & Channel Management In collaboration with your team: • Produce compelling marketing collateral to support major gift fundraising and institutional priorities., • Manage the direct response program to drive revenue, donor acquisition, retention, and email list growth., • Develop persuasive one‑to‑many impact reports and proposals., • Lead a robust and engaging social media program., • Advance and operationalize a video‑first content strategy., • Uphold and evolve visual and narrative standards, ensuring brand cohesion and style guide integrity., • Conceptualize and deliver advertising creative across digital and traditional channels. Data, Analytics & Optimization • Partner with the Director of MarTech & Analytics to implement a data‑first approach—defining KPIs, running A/B tests, and continuously optimizing content performance to maximize engagement and ROI. Team Leadership & Operations • Lead, mentor, and develop a team of five professionals., • Establish processes and integrate technology tools that support collaboration, creativity, and efficient workflows., • Manage vendors, agencies, and freelancers—ensuring alignment with scope, budget, and performance expectations., • Participate in annual planning and budgeting; manage spend throughout the year. Cross‑Organizational Collaboration • Drive and support cross‑departmental initiatives., • Present timely updates to colleagues, stakeholders, and senior leadership. Qualifications/Skills: • Bachelor’s degree in English, marketing, communications, or related field (preferred), • 10+ years of marketing leadership experience, • Minimum 5 years in digital marketing, social media, and direct mail, • Proficiency with Microsoft Word, Excel, PowerPoint, and project management tools (Monday.com a plus), • Exceptional writing, editorial, and verbal communication skills, • Strong aptitude for data analytics, KPI creation, and performance reporting, • Highly organized with a systematic approach to process and project management, • Demonstrated ability to manage multiple projects and deadlines with attention to detail, • Strategic, creative thinker with sound decision‑making skills in fast‑paced environments, • Mission‑aligned, with familiarity with Israel and the American Jewish community, • Successful track record executing national marketing campaigns for a fundraising nonprofit Strongly Preferred • Deep understanding of the Jewish and Israeli world, • Experience with Microsoft 365 environments and collaboration tool migrations, • Background in mission driven, nonprofit, public sector, or values based organizations Our Organizational Values • Act as one team, with accountability to each other, • Share our strengths for the betterment of the organization, • Be curious, ask questions, assume best intent, • Adapt readily to change in our internal and external environments Professional Growth at ATS At ATS, we’re committed to fostering your professional journey through targeted development programs, ensuring your career growth is at the forefront of our priorities. Culture & Benefits Join a collaborative, mission-driven team that values innovation and creativity. ATS offers competitive benefits, flexible work options, and generous time off. Salary Range: $165,000 to $180,000 Overtime Classification: Exempt Have we described a role that you have been seeking, along with a set of skills you possess? If so, we’d like to hear from you immediately. Please forward your resume to . Our client is an equal opportunity employer. M/F/H/V ATS is an equal opportunity employer. We support the diverse cultures, perspectives, skills, and experience of our employees and are committed to creating an inclusive environment for all staff. It is further the policy of ATS to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process.

Company Overview ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured hospital referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, ExaCare AI powers more than 1,500 facilities, and is growing rapidly. We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make a real impact, come join us! About the Role We’re hiring a Senior Product Manager to join our Product team, perfect for someone who thrives in ambiguity and loves building alongside customers. We move fast, and many of the most important problems we’re tackling aren’t perfectly defined yet — we have a clear north star, but the path requires deep customer understanding, sharp product judgment, and relentless execution. You’ll own major areas of our product roadmap end-to-end, from discovery and strategy to shipping and iteration. The scope includes improving our current platform, expanding feature depth in Skilled Nursing Facilities (SNFs), and building new functionality across six newer verticals we’ve launched in: Home Health, Hospice, Palliative Care, Behavioral Health, Critical Care Hospitals, and Dialysis Centers. This is an earlier-stage product-building environment: you’ll talk to customers constantly, validate needs, explore opportunities, and ship meaningful improvements quickly. You’ll work closely with Engineering (including AI/ML), Sales, Customer Success, BizOps, and Growth, and you’ll have real ownership over what we build, why we build it, and how it shows up for customers. What You’ll Do • Own your roadmap end-to-end: Define what we build and why — set strategy, prioritize ruthlessly, and drive execution from discovery to launch to iteration., • Build through ambiguity: Take unclear customer pain points and turn them into crisp problems, product bets, and shipped solutions that deliver measurable value., • Lead deep customer discovery: Spend significant time with customers to uncover workflows, frictions, and decision drivers, then translate those insights into product direction., • Leverage AI to accelerate product development: Use AI-powered tools (e.g., Claude Code) to explore product concepts, mock up features, and validate workflows to gain alignment with customers and internal teams before scoping for Engineering., • Improve the core platform: Identify high-leverage areas to make ExaCare faster, more reliable, and more delightful for users across referral intake, clinical insights, and workflow execution., • Expand features in Skilled Nursing: Build new capabilities that deepen our leadership in our core market and strengthen adoption and retention., • Build for new verticals (0 → 1): Develop and launch features tailored to newer industries we’ve entered, including Home Health, Hospice, Palliative Care, Behavioral Health, Critical Care Hospitals, and Dialysis Centers., • Partner with AI/ML teams: Work hands-on with engineering to shape AI-powered product experiences, from data inputs and model outputs to user-facing workflows and trust., • Collaborate across GTM: Partner closely with Sales and Customer Success on deal support, customer feedback loops, and expansion opportunities, ensuring we build what helps us win and retain., • Drive high-quality shipping: Write clear product requirements, align stakeholders, unblock teams, and ensure we ship quickly without sacrificing quality., • Mentor and raise the bar: Provide guidance and mentorship to more junior PMs as the team grows, and help build strong product practices and culture. What You’ll Bring • Experience: 5+ years of product management experience, ideally in a fast-paced B2B SaaS environment, owning complex software products through the full product lifecycle., • Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience)., • Strong product judgment: You can navigate ambiguity, identify the real problem, and make smart tradeoffs to ship impactful work fast., • Customer-centric instincts: You love talking to users, you’re great at uncovering underlying pain, and you translate insights into product direction., • Analytical rigor: Strong analytical and problem-solving skills, with comfort using data to evaluate performance, prioritize work, and measure impact., • Cross-functional leadership: Excellent communication and collaboration skills, with experience partnering deeply with Engineering, Sales, and Business Operations., • Comfort with AI tools: Experience leveraging AI to accelerate product work, from drafting PRDs and synthesizing customer feedback to exploring designs., • Execution in Agile: Experience working in an Agile development environment and driving teams from idea → spec → ship → learn., • Tooling fluency: Experience with product management tools such as Linear/Jira, data analysis and visualization tools such as Excel and Tableau, and customer analytics tools such as PostHog, • People leadership: Ability to lead and mentor junior product managers and raise quality across the team., • Low ego, high output: You take ownership, move fast, communicate clearly, and don’t need perfect conditions to make progress (and you want to have fun while doing it). Bonus Points • Experience working on AI/ML-powered products and workflows, • Comfortable with early-stage messiness, rapid iteration, and shifting priorities Benefits + Perks • Competitive salary and equity in a high-growth startup, • Flexible PTO, take what you need, • Medical, dental, and vision coverage, • Great startup culture, including company off-sites, • High-achieving team, including ex-Amazon engineers and alumni of Bain, BCG, Goldman Sachs, and more

Aventis Solutions is igniting the AI revolution: Now, we’re partnering with a high-growth US technology firm in the food and drink / hospitality sector that is undergoing one of the most significant AI-led digital transformations in its industry. From real-time data intelligence to personalised customer experiences and GenAI-enabled automation, this company is building a next-generation digital ecosystem, powered by insight, innovation, and intelligence at scale. At the heart of this transformation sits a newly created AI Strategy & Innovation function, responsible for embedding data, analytics, and AI thinking into every decision the business makes. As an AI Analyst, you’ll play a key role in bringing this vision to life, turning data into actionable intelligence, uncovering opportunities for AI application, and shaping how insights are delivered across the organisation. This is an opportunity to work alongside senior AI leaders, engineers, and strategists, contributing to initiatives that redefine how technology powers customer experience, operations, and product development. Key Details: • 4x roles available: Mid-level, Senior, Lead/Principal, • Salary Range: $95,000 to $175,000 base, plus 15% bonus, private healthcare, meal vouchers at partnership restaurants, and career development sponsorships, • Location: Remote-first with technology hubs in New York and San Francisco, • Career Outlook: A clear path to progress into Senior/Principal AI Analyst, Head of or equivalent, or AI Product Manager roles. This role sits within the newly formed AI Strategy & Innovation team, offering exceptional exposure to leadership and cutting-edge projects. Key Experience and Skills Desired: • AI and Analytics Expertise: Proven experience using modern analytics tools to extract insights from large and complex datasets. Familiarity with machine learning workflows, model evaluation, and basic LLM applications preferred., • Data Storytelling: Ability to translate technical findings into clear, actionable insights for non-technical stakeholders. Experience with data visualisation tools such as Power BI or Tableau is highly valued., • GenAI and Emerging Tech Curiosity: Interest or hands-on experimentation with OpenAI, Azure AI Studio, or similar GenAI frameworks for automation, content generation, or customer engagement., • Business Understanding: A commercially aware mindset, with experience using data to inform product development, marketing strategy, or customer experience improvements., • Collaboration and Communication: Strong cross-functional communication skills, able to partner with engineers, data scientists, and business leaders to shape and execute data-led initiatives., • Continuous Learning: A passion for innovation, curiosity about the latest developments in AI and data science, and an appetite to grow within a fast-evolving technology environment. Role Overview: This is your opportunity to join a high-impact, high-visibility AI team at the start of its journey. You’ll analyse data, prototype AI solutions, and contribute to strategic innovation projects that use data and machine intelligence to create smarter, faster, and more intuitive business decisions. If you want to learn fast, work with industry-leading technology, and be part of a team shaping the future of digital transformation, this is the opportunity. Believe the AI hype. Be part of building it. Interested? Please submit your CV via LinkedIn or message Billy Hall for further information. Aventis is working on behalf of its partner.

About AccountAbility: AccountAbility is a global consulting and standards firm that works with businesses, investors, governments, and multilateral organizations to innovate and advance the global sustainability / ESG agenda by improving the practices, performance, and impact of organizations. The firm focuses on delivering practical, effective, and enduring results that enable our clients to succeed. AccountAbility is a Public Benefit Corporation, operating globally through a highly qualified team from offices in New York, London, Riyadh, and Dubai. The firm is the recipient of multiple business awards from the Financial Times, Forbes, and Capital Finance International. Please visit our website ___ to learn more about us and our work. About this position: This role is based in New York, NY and requires an in-office presence four (4) days per week, with remote work flexibility on Fridays. The Global Head of Standards will report to the Chief Executive Officer and will serve as a key member of the senior leadership team, with responsibility for driving global strategy, adoption, and revenue growth related to the AA1000 Series of Standards. This role will have oversight of a global and/or matrixed team and will collaborate cross-functionally with Advisory, Research, and Operations functions to ensure alignment and execution of strategic priorities. The Global Head of Standards at AccountAbility will be working with a wide variety of international businesses, governmental and non-governmental organizations, standard setters, framework developers and professional institutes to support the scaling and adoption of the AA1000 Series of Standards. S/he must demonstrate a) the ability to generate, manage, and build stakeholder relationships for firm growth; b) excellent advocacy skills and adaptability to effectively lead a multitude of stakeholder engagements simultaneously; and c) strong leadership skills and experience. The successful candidate will be expected to raise awareness of the ___ with collaborating partners, including licensed assurance providers, training organizations, regulatory bodies, prospects and companies world-wide to enhance global implementation. The Global Head of Standards role is responsible for leading advocacy and promotion efforts across geographies and will require travel accordingly – likely about 50% of the time. The successful candidate will be one that is driven by client work and comfortable operating in a fast-paced, client-facing, consulting-driven environment. Responsibilities for this position include, but are not limited to: Clients • Lead the global promotion and development of the AA1000 Series of Standards, including advancing research into effective methodologies for their development, implementation, and application, • Drive the advancement and dissemination of knowledge, education, and training related to the AA1000 Series of Standards, including facilitating the exchange of insights, best practices, and thought leadership, • Identify, prospect, and develop business with new and existing clients to meet revenue generation targets, • Actively and effectively oversee/manage multiple projects with multiple stakeholders simultaneously, including management of team members, to ensure high-quality and influential delivery, • Drive measurable growth in global adoption and implementation of the AA1000 Series of Standards across priority markets and sectors, • Deliver against annual revenue targets tied to standards-related services, partnerships, engagements along with cross-selling, • Expand and strengthen strategic partnerships with key stakeholders, including regulators, standard-setting bodies, assurance providers, and global institutions, • Represent AccountAbility as a senior thought leader through industry events, publications, and speaking engagements People • Lead, develop, and scale a high-performing global standards function, including direct and/or matrixed team members, • Foster cross-regional collaboration to ensure consistency in standards application and stakeholder engagement globally, • Collaborate with AccountAbility’s Advisory Management Team for coordinated initiatives, knowledge sharing, resource management, decision-making and cross-selling, • Provide guidance and coaching to support learning and professional development of staff members, • Seek professional and personal development independently, • Facilitate a high standard of performance, quality, and delivery expectations, • Embrace, and champion an inclusive and collaborative working environment Firm and Operations • Collaborate in executing AccountAbility’s global and regional strategy, • Maintain up-to-date knowledge of relevant sustainability / standards topics, policies, regulations, and general trends for key industries, • Support various internal initiatives, such as directing delivery of content and materials for panel sessions and events, • Collaborate effectively with the AccountAbility’s Advisory practice & align with the firm’s overall “go to market” strategy, • Oversee financial management of the AA1000 Standards, including budgeting, forecasting, resource allocation, and performance monitoring in coordination with finance, • Provide strategic input into the evolution and positioning of the AA1000 Series of Standards in alignment with global regulatory and market trends, • Partner cross-functionally with internal teams to integrate standards into broader client solutions and firm offerings Qualifications The successful candidate for this position will be engaging and dynamic, and able to demonstrate a high emotional intelligence, have experience in the field of sustainability standards, and strong business acumen. Candidates are expected to be client-focused and should have a proven track record in building a wide range of stakeholder relationships for standards development and promotion, with experience in developing sustainability thought leadership. The following qualifications are required for consideration: • 15+ years of experience in management consulting and sustainability standards / assurance with a focus on revenue generation, • Excellent written skills, including technical standards development, associated communications and presentations, • Excellent verbal communication skills for representing the firm through public speaking engagements, stakeholder / work groups and meeting facilitation, • Master’s Degree, including an MBA, MA, MS, or MPA preferred with a demonstrated record of academic excellence. BA/BS degree required in Business Management, Sustainability, Environmental Science, Accounting, Economics, or a related field. Successful candidates will: • Demonstrate an ability to build cross-cultural relationships for collaborative efforts with a wide range of stakeholders, clients, partner organizations and colleagues, • Have an expert understanding of relevant Sustainability standards / ESG topics, and related trends in business and management practices, • Have knowledge of relevant sustainability frameworks / standards and the international regulatory and policy landscape, including ESRS / CSRD, SASB, ISSB, TCFD, GRI, UN SDGs, • Have knowledge or experience with sustainability-related auditing and assurance standards (e.g., AA1000AS v3, ISAE3000, ISAE3410, ISO14064-3 and ISSA5000), • Have an existing network of senior-level contacts across sustainability standard-setting bodies, accounting organizations and regulatory institutions (e.g., ISSB, IAASB, IESBA, AICPA, EFRAG)., • Show self-initiative and the ability to work well independently and lead teams, • Think critically, grasp new concepts quickly, and embrace new ideas / emerging perspectives AccountAbility is an Equal Employment Opportunity Employer, committed to a diverse and inclusive work environment.

Job Description: Product Owner – Banking | Agentic AI | Data & AI Job Title Product Owner – Banking, Data & AI / Agentic AI Location New York (NY), New Jersey (NJ), Pennsylvania (PA), Minnesota (MN) Experience 10+ years Role Overview We are seeking an experienced Product Owner with strong expertise in the banking domain, proven exposure to Agentic AI, and deep experience in Data & AI product delivery. The ideal candidate will drive the vision, roadmap, and execution of AI-powered banking solutions, working closely with business, engineering, and data science teams to deliver innovative products that improve customer journeys and operational efficiency. Experience in consumer banking is highly preferred. Key Responsibilities • Own the end-to-end product lifecycle for Data & AI initiatives within the banking domain, • Define and communicate product vision, roadmap, and business priorities, • Gather requirements from stakeholders and convert them into epics, user stories, and acceptance criteria, • Manage and prioritize the product backlog aligned with strategic goals, • Partner with engineering, architecture, data science, and business teams to deliver scalable AI-led solutions, • Lead use cases involving Agentic AI, including:, • autonomous AI workflows, • intelligent assistants / copilots, • workflow orchestration, • decision automation, • AI agents for customer servicing and operations, • Collaborate with banking business teams to identify opportunities across:, • customer onboarding, • fraud & risk, • lending / credit journeys, • account servicing, • customer engagement & personalization, • Track product KPIs, adoption metrics, and business outcomes, • Ensure product compliance with banking regulations, data governance, and risk standards, • Strong experience in the Banking domain, • Proven experience as a Product Owner / Product Manager, • Hands-on experience with Agentic AI, • Strong expertise in Data & AI products / solutions, • Experience working with AI/ML, analytics, and data platforms, • Strong understanding of agile methodologies and backlog ownership, • Experience in Consumer Banking, • Exposure to digital banking transformation initiatives, • Experience with GenAI / LLM-based products, • Knowledge of AI governance, responsible AI, and compliance frameworks, • Bachelor’s / Master’s degree in Engineering, Computer Science, Business, or related discipline, • CSPO / SAFe Product Owner certification preferred

Company Overview ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, ExaCare AI powers more than 1,500 facilities, and is growing rapidly. We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make a real impact, come join us! About the Role ExaCare AI is hiring a Product Manager, Data to design, develop, and scale our data model, customer data platform, reporting infrastructure, and data as a product offering. We are looking for someone to own and stand up this function. ExaCare has a uniquely rich dataset and is well poised to provide immense value to its customers, it captures critical operational and clinical signals that are largely invisible to our customers today. Unlocking it represents one of the biggest opportunities to create differentiated product value and long-term competitive advantage. Data includes: benchmarking across 1500+ facilities, 350K+ referrals processed, 25K+ admissions and is growing in depth and in scope as we continue to roll out to more customers and introduce new product features. This data is heavily underleveraged today, and this role exists to transform it into a core product offering and competitive advantage.This is a senior role that bridges technical data capabilities and customer-facing product value. This individual will co-develop data solutions, translate complex analytics into clear business outcomes, and build a high-performing data team from the ground up. The ideal candidate is equally comfortable designing a data model and writing SQL as they are presenting insights to customers or defining product success metrics. You’re a curious, data-minded problem-solver who can operate independently and translate complex data into products, insights, and workflows that drive measurable outcomes for customers. What You’ll Do Data Modelling and Engineering • Own and evolve ExaCare's reporting data model, ensuring schemas are well-structured, scalable, and designed to support both product and analytics needs, • Partner with engineering to design data schemas for new features: define table structures, relationships, and evaluate tradeoffs in data architecture decisions, • Define and own ExaCare's data stack and tooling strategy, establishing best practices for data transformation, quality, and governance Data Product Strategy • Identify and evaluate new opportunities to productize ExaCare's data: determine which insights, analytics capabilities, and AI-driven features can deliver the most customer value and competitive differentiation, • Own the product vision and strategic roadmap for customer-facing data products, continuously exploring innovative ways to leverage our data as a product, • Work directly with customers to understand their needs, validate roadmaps, and co-develop new data capabilities Product Execution and Go-To-Market • Partner with Product Marketing, Sales, and BizOps to develop launch plans, sales collateral, training materials, and communication plans for new data features, • Own the rollout and onboarding of all data-related initiatives including developing training cadences for internal teams and external customers, • Lead execution for all customer-facing data and reporting, including building and maintaining dashboards and reports, • Serve as the primary escalation point for customer reporting issues, diagnosing and resolving problems independently What You’ll Bring Core experience • 5+ years in data product management, analytics engineering, data engineering or a similar technical data role, • Bachelor's degree in Computer Science, Engineering, or a related field, • Strong SQL skills and deep familiarity with relational database design, • Experience designing data models for new product features and translating business requirements into database design, • Hands-on experience with BI and reporting tools; experience with Omni, Looker, Metabase, Tableau, or similar platforms strongly preferred, • Demonstrated ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI, efficiency gains, or retention), • Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops, • Track record of driving data initiatives from problem definition to delivery, including managing backlogs, making trade-offs, and aligning cross-functional teams Preferred • Experience building analytics or data products in a high-growth B2B SaaS or health tech environment, • Exposure to AI/ML features or working with data science teams to define requirements for predictive models, • Familiarity with modern data stack tooling and cloud database infrastructure (e.g., AWS Aurora PostgreSQL, AWS Redshift, Snowflake) Benefits + Perks • Competitive salary and equity in a high-growth startup, • Flexible PTO, take what you need, • Medical, dental, and vision coverage, • Great startup culture, including company off-sites, • High-achieving team, including ex-FAANG engineers and alumni of Bain, BCG, Goldman Sachs, and more An insight into our Core Values Only the Best Belong Here We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft. We work even harder to keep our partners than we did to earn them initially The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery. We keep the patient downstream of every decision At the end of the day, this is about the patient. We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care. Raise the Bar on Ownership We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build. The World is Moving Fast. We move Faster. This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us. Radical Candor, Zero Politics. We say what’s true, early, and we keep communication direct and clean so the team can move. Bring Good Vibes and Win Together We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up to. If this sounds like you, we'd love to have a chat!

Company Insight: A leading global investment firm is expanding its sector-focused data science capability, embedding data more deeply into the investment research process. This team partners directly with investors to generate differentiated insights by applying rigorous analytics to large, complex, and often unstructured datasets. This is a high-impact role for someone who enjoys turning raw data into clear, decision-ready insight — and who wants their work to directly influence how capital is allocated. You’ll operate as a thought partner to investment teams, bringing structure, speed, and analytical rigour to how data informs research and portfolio construction The Role: • Partner with investment teams to understand their research approach and identify how data can strengthen decision-making, • Analyse data from multiple structured and unstructured sources to test complex investment theses, • Rapidly assess data relevance, detect emerging trends, and separate signal from noise, • Identify the key operational and fundamental drivers across companies and sectors, • Deliver high-quality research outputs in a clear, concise format tailored for senior investors, • Help build and evolve scalable datasets, analytical frameworks, and decision-support tools Experience/Skills Required: • Strong intellectual curiosity with a genuine interest in markets and investing, • Ability to quickly digest fundamental research and translate narratives into data-driven analysis, • Advanced Python skills (including Pandas) and strong SQL, • Solid background in statistical modelling and quantitative analysis, • Experience working with large, complex, or unstructured datasets, • Prior exposure to investment management, equity research, or buy-side analytics, • Bachelor’s degree in statistics, engineering, economics, computer science, physics, or a related discipline Pre-Application: • Please do not apply if you are looking for a contract or remote work, • Please ensure you meet the required experience section prior to applying, • Allow 1-5 working days for a response to any job enquiry

Job Title: Quantitative Researcher (Agentic AI Focus) Location: [Insert Location or Remote] Employment Type: Full-time About the Role We are seeking a highly skilled Quantitative Researcher with expertise in Agentic AI systems to join our team. This role sits at the intersection of quantitative finance, machine learning, and autonomous AI agents. You will design, develop, and deploy intelligent systems capable of independently generating insights, strategies, and decisions in complex, dynamic environments. Key Responsibilities • Develop and implement quantitative models for trading, risk management, and portfolio optimization, • Design and build agentic AI systems that can autonomously analyze data, form hypotheses, and execute strategies, • Conduct research on reinforcement learning, multi-agent systems, and decision-making under uncertainty, • Integrate large language models (LLMs) into quantitative workflows for research automation and strategy generation, • Backtest and validate models using historical and real-time market data, • Collaborate with engineering teams to productionize models and ensure scalability, • Monitor model performance and continuously improve through iteration and experimentation, • Advanced degree (Master’s or PhD) in Mathematics, Statistics, Computer Science, Physics, or a related field, • Strong background in quantitative modeling and statistical analysis, • Experience with Agentic AI, autonomous systems, or multi-agent frameworks, • Proficiency in Python and common data science libraries (NumPy, pandas, PyTorch, TensorFlow, etc.), • Solid understanding of machine learning techniques, including reinforcement learning, • Experience working with large datasets and building data pipelines, • Experience in financial markets (equities, derivatives, crypto, or FX), • Familiarity with LLM orchestration frameworks and tool-use agents, • Knowledge of distributed systems and scalable architecture, • Experience with backtesting platforms and quantitative research tools, • Competitive salary and performance-based bonuses, • Opportunity to work on cutting-edge AI and quantitative research problems, • Collaborative and intellectually stimulating environment, • Access to high-quality datasets and compute resources

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values – proximity, teamwork, diversity, excellence – our 850 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore. About the Role We are seeking an experienced IT Project Manager to lead and coordinate technology initiatives within a fast-paced capital markets environment. The role involves managing cross-functional projects involving front-to-back trading systems, regulatory initiatives, and technology transformation programs, working closely with global technology teams, business analysts, and developers across multiple regions. This position requires strong organizational skills, the ability to manage multiple stakeholders, and a solid understanding of financial markets technology and project delivery frameworks. Key Responsibilities Project Initiation & Scope Definition • Lead project kickoff activities and facilitate requirements gathering with business and technology stakeholders, • Define project scope, objectives, and success criteria, • Identify dependencies, risks, and key deliverables Project Planning & Coordination • Build and maintain detailed project plans, timelines, and resource allocation, • Coordinate with distributed teams including developers, business analysts, and infrastructure teams, • Ensure proper change management and scope control throughout the project lifecycle Budget & Resource Management • Track project budgets, resource utilization, and timelines, • Monitor project financials and report on variance and forecasts Governance & Compliance • Implement governance frameworks, escalation processes, and decision checkpoints, • Ensure projects adhere to internal technology standards and regulatory requirements, • Maintain complete and auditable project documentation Stakeholder Communication • Provide regular updates to senior stakeholders and leadership, • Facilitate collaboration across business, technology, and operations teams, • Manage expectations and resolve cross-functional issues Project Monitoring & Delivery • Track milestones, risks, and project dependencies, • Ensure deliverables meet quality standards and timelines, • Coordinate production readiness, rollout activities, and operational handover Project Closure • Obtain final approvals and stakeholder sign-off, • Conduct post-implementation reviews and capture lessons learned, • Ensure proper documentation and project archival Required Qualifications • 5–15 years of experience in IT project management within financial services or capital markets, • Experience working with technology teams (development, business analysis, QA), • Strong understanding of financial systems, regulatory initiatives, or trading platforms, • Proven ability to manage multiple concurrent projects in complex environments Technical & Methodology Skills • Agile / Scrum project delivery methodologies, • Project management frameworks such as PMP, Agile, or similar, • Experience using Jira or equivalent project tracking tools, • Strong communication, stakeholder management, and organizational skills Education Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field.

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

We are seeking a Sales Engineer to partner with Named Account Managers in our mid-market territory. This role is designed for a technically strong but strategically minded individual who thrives in customer-facing engagements. The candidate will act as a trusted advisor, guiding organizations through cybersecurity transformation initiatives that span SecOps, Zero Trust, cloud, endpoint and network security. Responsibilities * Partner with sales to qualify opportunities, define solution strategy, and align technical capabilities with customer business outcomes. * Lead discovery sessions, workshops, and security assessments that uncover operational and architectural requirements in complex environments. * Design and present secure architectures that incorporate networking, cloud, and SecOps components. * Deliver impactful presentations and demos to both technical stakeholders and executive decision-makers (CISOs, CIOs, CTOs, and business leaders). Customer Engagement & Strategy * Serve as the primary technical expert in sales cycles, guiding named accounts through evaluation and decision processes. * Advise on cybersecurity strategies such as Zero Trust, SASE, cloud security, and SecOps modernization. * Build and maintain long-term trusted relationships with C-level executives and senior technical leadership, positioning yourself as a strategic advisor. * Translate technical concepts into business value discussions tailored for executive-level conversations. Post-Sales Partnership * Support smooth deployment transitions by working closely with professional services, technical support, and customer success teams. * Provide roadmap guidance, operational reviews, and strategic check-ins to reinforce customer value realization. * Continue as a trusted advisor to enterprise leadership, ensuring ongoing alignment of their evolving needs with solution capabilities. Required Skills & Experience * 3-5 year experience in pre-sales or sales engineering roles in multi-location cybersecurity, networking, or cloud environments. * Strong understanding of networking (Firewall, Network Segmentation, LAN/WAN, Wireless, routing, switching, VPNs, TCP/IP) and core security protocols (IPSec, TLS/SSL, PKI, SAML, OAuth, RADIUS, etc.). * Ability to articulate and design solutions across: * Endpoint Security (EDR, DLP) * SecOps modernization (SIEM, SOAR, XDR) * Zero Trust and SASE architectures * Cloud and hybrid security (IaaS, SaaS, containerized workloads) * Identity and access management (MFA, SSO, PAM) * Excellent presentation, communication, and storytelling skills-capable of engaging both deeply technical audiences and executive decision-makers. * Proven track record of leading architectural discussions and aligning technical solutions with business priorities at the enterprise level. Preferred Qualifications * Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). * Industry certifications such as CISSP, CCSP, or vendor-specific credentials (e.g., NSE, CCNP Security, AWS Security Specialty). * Experience in consulting or advisory roles for medium enterprise customers, especially in CISO/CIO-level conversations. * Familiarity with compliance and security frameworks (MITRE ATT&CK, NIST CSF, ISO 27001, SOC 2). Why Join Us This is an opportunity to operate at the intersection of cybersecurity strategy, executive engagement, and customer success, influencing large-scale enterprise organizations as they modernize operations and adopt cutting-edge solutions. If you excel at combining technical depth with executive presence, this role will allow you to shape customer outcomes while growing your career in a dynamic security landscape. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $190,000 - $240,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is undergoing a transformative period as we anticipate and adapt to the shifting needs of our customers while harnessing the possibilities enabled by technology and innovation. With new products and services fueling our global expansion, this is a pivotal moment to join Wiley's executive leadership as Corporate Vice President of Enterprise Strategy. This role will lead the strategic initiatives that define the organization's future - driving research, analysis, and enterprise-wide transformation. Reporting directly to the SVP, Strategy, this executive will partner with C-suite leaders and the Board of Directors to architect and execute Wiley's long-term vision, while building and leading a high-performing strategy team. Job Responsibilities: Enterprise Strategy & Portfolio Leadership • Own Wiley's 3-5 year strategic roadmap, defining the next chapter of the company's evolution and driving execution against strategic priorities., • Lead portfolio strategy, partnering with the CEO and Board to make disciplined decisions on where to invest and transform., • Establish strategic KPIs and performance frameworks, delivering regular Board and executive insights on progress against priorities. Market Intelligence & Competitive Positioning • Build and own market intelligence capabilities, delivering rigorous competitive analysis and strategic foresight in high-growth areas including life sciences data services, and AI-enabled publishing innovation., • Partner with Corporate Development to identify and evaluate M&A opportunities, leading strategic due diligence and ensuring alignment with enterprise strategy., • Collaborate with Business Development on partnerships and alliances that support Wiley's long-term roadmap., • Support investor relations and corporate marketing in articulating Wiley's strategic narrative and competitive differentiation to external stakeholders. Strategic Enablement & Cross-Functional Leadership • Build strategic planning capabilities across the organization through frameworks, tools, and processes that elevate strategic thinking., • Partner closely with Finance to ensure strategic plans are grounded in rigorous financial analysis and appropriately resourced., • Serve as executive sponsor for high-priority transformation initiatives, driving cross-functional alignment and measurable business impact. Required Qualifications: • MBA from a top-tier business school; advanced degree (PhD, MS) in a relevant field is a plus, • 12-15+ years of progressive experience in strategy consulting (Partner/Principal level at MBB or equivalent) and/or senior strategy roles in publishing, education technology, or information services, • Proven track record of leading enterprise transformation initiatives with demonstrated P&L impact, • Executive presence with extensive experience presenting to and influencing Board of Directors and C-suite executives, • Experience leading and scaling teams of 10+ professionals Core Competencies: • Strategic Vision: Ability to synthesize complex market dynamics, anticipate disruption, and shape breakthrough corporate strategies., • Executive Leadership: Proven capacity to influence without authority, align diverse stakeholders, and drive consensus at the senior-most levels., • Analytical Rigor: Strength in market analysis, competitive intelligence, and data-driven decision-making to guide strategic priorities., • Innovation & Transformation: Deep expertise in digital transformation, AI/ML applications, and emerging business models that drive sustainable growth., • Communication Mastery: Exceptional storytelling and narrative-building skills, with experience preparing Board-level materials and investor communications., • Global Perspective: Hands-on experience leading cross-border initiatives and navigating diverse regulatory and cultural contexts., • Industry Expertise: Deep understanding of data services and content ecosystems, with exposure to key verticals (e.g., Life Sciences). We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 210,000 USD to 315,333 USD#LI-JL1 Job Posting Title: Corporate Vice President, Strategy Location: Hoboken (HQ), NJ, USA

Client Overview: Our client is a global organization focused on delivering innovative, sustainability-driven solutions that help businesses optimize performance, reduce environmental impact, and accelerate the transition to a low-carbon future. With a strong emphasis on collaboration, data-driven decision-making, and operational excellence, the company partners with clients to deliver measurable value through technology and strategic insight. They are currently looking to add a Product Operations Manager to their team. If you are a driven Product Operations Manager looking to make an impact in a fast-paced, mission-driven environment, this is an excellent opportunity to grow your career while contributing to meaningful change. Salary/Hourly Rate: $35/hr - $45/hr Position Overview: The Product Operations Manager will play a critical role in orchestrating cross-functional collaboration to drive efficient, high-quality product delivery. This Product Operations Manager will work closely with Product Managers, Program Managers, Engineering teams, and key stakeholders to streamline processes, enhance governance, and improve operational efficiency. The ideal Product Operations Manager is highly analytical, process-driven, and passionate about enabling teams to deliver exceptional B2B software solutions at scale. This is a contract position covering maternity leave from mid-April until November. Responsibilities of the Product Operations Manager: • Serve as a central point of coordination as a Product Operations Manager, driving alignment across Product, Engineering, and Business teams., • Develop, manage, and continuously improve scalable processes and governance frameworks., • Own and optimize product and program management tools (Aha!, Azure DevOps, Microsoft suite), • Drive prioritization, planning, and execution processes across design, build, testing, and release cycles, • Establish and maintain PDLC workflows, documentation, and best practices., • Build and manage internal visibility tools such as dashboards, roadmaps, calendars, and release communications., • Define, track, and report key success metrics to measure operational effectiveness., • Partner with Finance on budgeting, forecasting, and financial tracking initiatives, • Enable product and program managers with the tools, insights, and structure needed for effective decision-making. Required Experience/Skills for the Product Operations Manager:, • 5+ years of experience as a Product Operations Manager or in a similar product operations role, • Proven experience supporting the delivery of B2B software products, • Strong background in agile methodologies and product development lifecycle management, • Hands-on experience with Aha!, Azure DevOps (ADO), Jira, and Microsoft Office tools (including SharePoint and Planner), • Excellent analytical, problem-solving, and organizational skills, • Strong communication skills with the ability to engage stakeholders from technical teams to executive leadership, • Demonstrated ability to influence cross-functional teams and drive results Preferred Experience/Skills for the Product Operations Manager:, • Experience in sustainability, decarbonization, or energy management domains, • Familiarity with enterprise-scale product operations environments, • Entrepreneurial mindset with a proactive, solutions-oriented approach, • Experience building dashboards, reporting frameworks, and operational KPIs Education Requirements:, • Bachelor's degree in Engineering, Software, Environmental Science, Business Administration, or a related field (or equivalent practical experience) is required. Benefits:, • Flexible hybrid work environment., • Opportunity to contribute to sustainability and environmental impact initiatives., • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off). By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, 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 opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy . As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation. EOE/M/F/D/V/SO Position ID: 391231

This position is only open to W2 candidates who do not need sponsorship now or in the future. The ideal candidate will use their passion Performance Improvement and Analytics to provide insights to the business covering a range of topics. Job Description: We are seeking a highly skilled and detail-oriented Data Analyst specializing in Quality Improvement and Patient Safety to join our dynamic team. As a Data Analyst, you will play a critical role in analyzing and interpreting healthcare data to drive improvements in patient safety, care quality, and operational efficiency. Your expertise in data analysis, statistical modeling, and healthcare systems will be instrumental in identifying opportunities for enhancing patient outcomes, strategic decision making, providing data-driven insights, reducing errors, and promoting a culture of safety within our organization. Requirements: • Bachelor's degree in healthcare administration, data science, statistics, or a related field. A master's degree is preferred., • Proven experience in healthcare data analysis, preferably within a Quality and Safety department or within a clinical or hospital setting., • CHDA, CPHQ or CPPS certification preferred or other healthcare data analyst certification, • Knowledge of healthcare systems, patient safety principles, quality improvement methodologies (e.g., CPHQ, CPPS, or Lean Six Sigma certifications preferred), and regulatory requirements (e.g., CMS guidelines) is highly desirable., • Familiarity with Meditech EMR, incident reporting systems, patient safety indicators, and other relevant quality improvement metrics is a plus., • Proficiency in statistical analysis software and data visualization tools (e.g., Tableau)., • Strong analytical and problem-solving skills, with the ability to work with large datasets and draw meaningful conclusions from complex data., • Knowledge of healthcare systems, terminologies (e.g., ICD-10, CPT), and industry standards (e.g., HL7) is highly desirable., • Familiarity with healthcare regulations, compliance, and privacy requirements, including HIPAA., • Excellent communication skills, both written and verbal, with the ability to present findings to diverse audiences., • Strong attention to detail and ability to handle sensitive and confidential information securely