Senior Product Manager - Generative AI Tech Services (2C4D011) — Referment, New York, NY

Referment is working with a global investment firm hiring a senior product manager for its generative AI technology services team. The team develops and operates a firmwide suite of generative AI products and infrastructure, acting as a centralized platform for the firm. This role owns the user-facing generative AI products, and the work centers on deeply understanding users and connecting their asks to product changes — including technical implementation.

The Role

• Own product direction and delivery for the firm's flagship user-facing AI agent and chat experiences, expanding to other end-user generative AI products over time.

• Spend time understanding both technical and non-technical users, identifying new ways AI products can support or transform their workflows.

• Partner with the firm's Learning & Development and generative AI business teams to increase adoption, experimentation, and AI skill development across the firm.

• Systematically prioritize product work across the team and in collaboration with key infrastructure teams and partners.

• Work with senior engineering counterparts to keep the products stable and performant.

What We're Looking For

• Five to ten years of product management experience, ideally building AI/ML or generative AI products, developer tools, or enterprise software.

• A bachelor's degree or higher; computer science or a related technical discipline is preferred but not required.

• A technologist's mindset — enough depth to understand the product and ecosystem and to read code and see how components fit together; some coding experience is beneficial.

• An evangelist's energy for encouraging learning and adoption of AI solutions across the firm.

• Keen prioritization and cost/benefit analysis skills, with a data-driven approach to evaluating product success.

• Excellent user interviewing skills and a deep interest in working closely with users to understand problems and transform workflows.

This could suit a product manager from an AI/ML, developer-tool, or enterprise software company who wants broad ownership of a firm's user-facing AI stack in a technically deep environment.

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