Senior Product Manager, AI, Paris

Role Responsibilities&Key Accountabilities

Contribute to the full AI product lifecycle: discovery, requirements definition, development, testing, and deployment

Design, build, and iterate on LLM-powered agentic workflows for complex, data-intensive use cases, applying sound orchestration patterns and tool-use design

Translate business and user needs into clear, actionable product requirements and agent configurations

Define and monitor product performance metrics and acceptance criteria for AI outputs in production— covering accuracy, latency, cost, and auditability

Manage the post-launch product lifecycle: track performance, gather user feedback, and contribute to model or feature refresh cycles

Contribute to system optimisation across performance, cost, and operational constraints

Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards

Maintain a forward-looking view on the evolving AI landscape— including model capabilities, agentic frameworks, and emerging protocol standards — and translate relevant developments into product opportunities

Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities

Support demos and presentations of prototypes and new capabilities

Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams

Qualifications&Experience

7+ years of experience spanning software or ML engineering and product development, or a closely related combination

Demonstrated hands‑on experience building with LLMs and/or agentic frameworks — shipped products or features preferred

Working knowledge of how large language models and agentic systems behave in production— including tool use, prompt design, orchestration patterns, output variability, and failure modes

Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support

Experience evaluating and testing AI outputs— defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues

Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure

Experience with real-time or near-real-time data systems, with a natural sensitivity to latency, throughput, and cost trade-offs

Familiarity with responsible AI principles— including data quality, model performance monitoring, and bias considerations — and their implications for product design in regulated environments

Comfortable working across technical and commercial stakeholders— able to translate product decisions clearly for engineering teams and client‑facing audiences alike

Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity is an advantage

BA, BS, or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Career Stage Manager

Benefits Health care, retirement planning, paid volunteering days, wellbeing initiatives, and tailored benefits and support.

Equal Opportunity Statement We are proud to be an equal opportunities employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

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