AI Product Manager
Capgemini, New York, NY, United States
AI Product Manager
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
As an AI Product Manager you will be responsible for defining the strategy roadmap and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with managing large scale complex production environments. You will partner closely with engineering, production support and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity, reliability and safety. You will be the central hub for the product, bringing consistent product management practices from discovery and planning to launch and iteration to successfully deliver business aligned outcomes.
Responsibilities
Define Product Vision and Strategy
Develop and champion the product vision, strategy and roadmap for agentic AI systems. Define what success looks like by translating user pain points into clear product requirements, user stories and objective functions linked to reliability, risk reduction and cost savings.
Lead the Product Lifecycle for LLMs
Guide the end‑to‑end product lifecycle from discovery to launch and iteration.
Establish the business‑facing evaluation framework for foundational and open‑source LLMs and prioritize the development of retrieval pipelines, prompt synthesis and validation loops to meet user needs in production operations.
Drive Integration and Ecosystem Strategy
Define and prioritize integrations with key runtime ecosystems including observability, incident management and deployment systems.
Articulate the value proposition for each integration to enable automated diagnostics, runbook execution and intelligent post‑incident analysis.
Collaborate directly with production engineers and application teams through deep user research. Translate their production challenges into a prioritized AI product roadmap and ensure the solutions delivered are auditable, effective and solve real‑world problems.
Own AI Safety, Reliability and Governance
Establish and own the product framework for AI safety, reliability and governance. Work with engineering, legal and compliance teams to define product policies, deterministic fallbacks and rollback strategies ensuring all solutions adhere to the highest standards of safety and least‑privilege access.
Manage Product Performance and Scale
Define and monitor product SLOs and key performance indicators (KPIs) for cost, latency and user satisfaction.
Prioritize engineering efforts to optimize performance through techniques like prompt engineering, caching and model routing to meet stringent business requirements.
Oversee Data and Knowledge Strategy
Own the product strategy for the RAG pipeline. Define the scope of required domain knowledge, set product requirements for data quality and validation and establish feedback loops to maintain knowledge freshness and relevance.
Drive Product Excellence and Raise the Bar
Lead product design reviews, champion data‑driven experimentation and instill high‑quality product management practices.
Mentor peers and stakeholders on AI product management evaluation methodologies and safe deployment patterns to foster a culture of innovation and excellence.
Compensation
The base compensation range for this role in the posted location is: 103,330 to 128,656. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Benefits
Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade; Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice
Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55‑year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code: 463746
Posted on: Apr 24, 2026
Experience Level: Experienced Professionals
Contract Type: Permanent
Location: New York, NY, US
#J-18808-Ljbffr
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
As an AI Product Manager you will be responsible for defining the strategy roadmap and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with managing large scale complex production environments. You will partner closely with engineering, production support and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity, reliability and safety. You will be the central hub for the product, bringing consistent product management practices from discovery and planning to launch and iteration to successfully deliver business aligned outcomes.
Responsibilities
Define Product Vision and Strategy
Develop and champion the product vision, strategy and roadmap for agentic AI systems. Define what success looks like by translating user pain points into clear product requirements, user stories and objective functions linked to reliability, risk reduction and cost savings.
Lead the Product Lifecycle for LLMs
Guide the end‑to‑end product lifecycle from discovery to launch and iteration.
Establish the business‑facing evaluation framework for foundational and open‑source LLMs and prioritize the development of retrieval pipelines, prompt synthesis and validation loops to meet user needs in production operations.
Drive Integration and Ecosystem Strategy
Define and prioritize integrations with key runtime ecosystems including observability, incident management and deployment systems.
Articulate the value proposition for each integration to enable automated diagnostics, runbook execution and intelligent post‑incident analysis.
Collaborate directly with production engineers and application teams through deep user research. Translate their production challenges into a prioritized AI product roadmap and ensure the solutions delivered are auditable, effective and solve real‑world problems.
Own AI Safety, Reliability and Governance
Establish and own the product framework for AI safety, reliability and governance. Work with engineering, legal and compliance teams to define product policies, deterministic fallbacks and rollback strategies ensuring all solutions adhere to the highest standards of safety and least‑privilege access.
Manage Product Performance and Scale
Define and monitor product SLOs and key performance indicators (KPIs) for cost, latency and user satisfaction.
Prioritize engineering efforts to optimize performance through techniques like prompt engineering, caching and model routing to meet stringent business requirements.
Oversee Data and Knowledge Strategy
Own the product strategy for the RAG pipeline. Define the scope of required domain knowledge, set product requirements for data quality and validation and establish feedback loops to maintain knowledge freshness and relevance.
Drive Product Excellence and Raise the Bar
Lead product design reviews, champion data‑driven experimentation and instill high‑quality product management practices.
Mentor peers and stakeholders on AI product management evaluation methodologies and safe deployment patterns to foster a culture of innovation and excellence.
Compensation
The base compensation range for this role in the posted location is: 103,330 to 128,656. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Benefits
Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade; Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice
Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55‑year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code: 463746
Posted on: Apr 24, 2026
Experience Level: Experienced Professionals
Contract Type: Permanent
Location: New York, NY, US
#J-18808-Ljbffr