AI Product Manager

Capgemini • New York, NY

1d

About The Position

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 by a 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. 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 largescale 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.

Requirements

• Defining the strategy roadmap and execution for Generative AI agentic solutions.
• Reducing risk and cost associated with managing large-scale complex production environments.
• Partnering closely with engineering, production support, and application teams.
• Translating complex operational challenges into a clear product vision.
• Delivering innovative AI solutions that improve productivity, reliability, and safety.
• Bringing consistent product management practices from discovery and planning to launch and iteration.
• Developing and championing the product vision, strategy, and roadmap for agentic AI systems.
• Defining success by translating user pain points into clear product requirements, user stories, and objective functions linked to reliability, risk reduction, and cost savings.
• Guiding the end-to-end product lifecycle from discovery to launch and iteration.
• Establishing a business-facing evaluation framework for foundational and open-source LLMs.
• Prioritizing the development of retrieval pipelines, prompt synthesis, and validation loops.
• Defining and prioritizing integrations with key runtime ecosystems (observability, incident management, deployment systems).
• Articulating the value proposition for each integration.
• Collaborating directly with production engineers and application teams through deep user research.
• Establishing and owning the product framework for AI safety, reliability, and governance.
• Working with engineering, legal, and compliance teams to define product policies, deterministic fallbacks, and rollback strategies.
• Defining and monitoring product SLOs and key performance indicators (KPIs) for cost, latency, and user satisfaction.
• Prioritizing engineering efforts to optimize performance through prompt engineering, caching, and model routing.
• Owning the product strategy for the RAG pipeline.
• Defining the scope of required domain knowledge, setting product requirements for data quality and validation, and establishing feedback loops.
• Leading product design reviews and championing data-driven experimentation.
• Instilling high-quality product management practices.
• Mentoring peers and stakeholders on AI product management evaluation methodologies and safe deployment patterns.

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 opensource 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.
• Champion the Voice of the Customer: 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees