Senior AI Product Manager

Bankrate is seeking a Senior AI Product Manager to identify high-impact business problems and build AI products for its Human Resources, Marketing, and Commercial teams. The role owns products from prototype through production and adoption, and measures their business impact.

Responsibilities:

• Own the product end to end. Find the problem worth solving, define what to build and why, and drive it from prototype to production to adoption. You set the direction and you own the outcome, not the output
• Prototype it yourself. You don't wait for an engineer to test an idea. You build the first working version, put it in front of real users, and learn fast. Working code beats a perfect spec
• Translate business problems into AI products. Sit with HR, Marketing, and Commercial, learn how they actually operate, and turn messy problems into products with a clear thesis, a way to measure success, and a path to scale
• Decide what not to build. Ruthless prioritization is the job. You kill low-value work, sequence the roadmap around leverage, and defend the focus when everyone wants everything
• Partner with Forward Deployed Engineers. When a product outgrows a prototype, you hand engineering a sharp spec and a working reference, then stay close through production. You speak their language because you can build too
• Measure what matters. Define the metric that proves the product changed the business, instrument it, and report against it. Usage is a leading indicator, not the goal
• Move at the speed of the tools. Agentic coding tools (Claude Code, Cursor, Codex), AI APIs, vector databases (Pinecone, Weaviate, pgvector), prototyping platforms (v0, Lovable, Replit), and automation layers (Zapier, n8n) are how you get from idea to working software in days. You keep up as they change

Requirements:

• 5 to 10 years of work experience, with real technical depth
• You've shipped products and you can build them yourself
• A background in data science or engineering is exactly what we're after, but the idea of owning a product end-to-end excites you
• You're comfortable in a notebook, with APIs, and with modern AI tooling
• You've shipped working prototypes with your own hands, not just directed others to
• You build with agents, models, and APIs as a default, and you have a real point of view on what these systems can and can't do
• You know the difference between a feature and a product, and between motion and progress
• You prioritize hard and defend the call
• You care about the business metric that moved, not the roadmap you shipped
• You measure it and you own the number
• You sit between non-technical business teams and technical builders and make both better
• You bring clarity where there's ambiguity