Staff AI Product Manager
Leads vision, strategy, and delivery for a major area of an AI platform or agent, partnering with research, engineering, design, and go-to-market teams. Requires strong AI/ML fluency, product judgment, customer insight, and leadership in ambiguous technical environments.
About the job
Responsibilities
- Lead a major area of Fin’s AI platform or AI agent, owning its vision, strategy, roadmap, and impact.
- Develop deep customer, business, and technical understanding to make high-quality product decisions.
- Collaborate with ML scientists, ML engineers, AI designers, and ML researchers to explore ideas, assess feasibility, evaluate trade-offs, and turn AI capabilities into product experiences.
- Take AI concepts from exploration through production launch.
- Run experiments, define success metrics, evaluate performance, and iterate on AI systems and user-facing features.
- Partner with the core product organization to integrate AI across the platform.
- Collaborate with go-to-market, marketing, support, and operations teams to drive adoption and customer impact.
- Create alignment, communicate decisions clearly, and lead teams toward impactful outcomes.
Requirements
- Strong technical fluency and deep experience with AI/ML products, ideally including generative AI.
- Ability to discuss model behavior, evaluation, prompts, architectures, constraints, and trade-offs with technical partners.
- Excellent product judgment across customer needs, business goals, and technical realities.
- Strong problem-framing and customer-insight skills, using research, data, and direct customer conversations.
- Ability to collaborate with engineering and design to ship high-quality software.
- Experience testing, measuring, and iterating on AI systems and user-facing AI features.
- Strong focus on safety, reliability, and customer value.
- Strong communication, influence, leadership, ownership, and ability to create momentum in ambiguous environments.
Benefits
- Autonomy, impact, and responsibility on an experienced AI team.
- Benefits and programs supporting health and wellbeing, family, time away from work, and financial future; offerings vary by location.
Work Arrangement
- Hybrid working policy requiring employees to work in the office at least three days per week.
Skills
Artificial Intelligence, Machine Learning, Generative AI, Model Evaluation, Prompt Engineering, Ai Architectures, Product Strategy, Product Roadmapping, Experimentation, Success Metrics, Customer Research, Ai Safety, Ai Reliability
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