Senior Product Manager - Generative AI Tech Services (AB6B492)
Spotted 9h agofulltime
Job description
About this role
Employer-provided description, formatted for easier reading.
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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