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AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Capgemini
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Product Engineer
Job Description & How to Apply Below
Location: New York

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…

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