AI Product Manager

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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 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

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 

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.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incent