Product Manager, AI Agents (Scientific Software)
ScrumAID
San Francisco, CA · Posted October 30, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 325 open product manager listings that state pay, the middle half runs $130,500 to $220,000 and the median is $167,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among marketing managers, AI is already used for a large share of the tasks. Measured exposure for marketing managers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
A Series B software company serving scientific research teams wants a product manager devoted to its AI agents. New AI functionality lands on the platform weekly, and you will convert it into ready-to-sell packaged capabilities that clients actually adopt. The position connects core product teams with colleagues embedded at customer sites; you will not lead a dedicated engineering squad.
What the role covers
Be accountable for each agent skill from first idea to market, applying the platform’s components to genuine research and materials-science workflows
Author, trial and polish prompts, skills and evaluation sets personally, involving engineers only as needed
Study how customers work together with embedded scientists, choose the most valuable automation opportunities and package them as repeatable paid offerings
Move through compact projects, each lasting around four weeks, before starting the next one
Help define how the company builds, tests and measures agent features
What you bring
Four to seven years of B2B product management, including recent AI-related work
A history of bringing AI products (agents, copilots or assistants) to outside customers, plus daily personal use of AI tools
Background in vertical or specialist software and some experience starting new products from zero
Scientific training is welcome but optional
Bay Area, hybrid with one or two office days per week. Visa sponsorship is not available.