Technical Product Manager (AI for Data Teams)
ScrumAID
San Jose, CA · Posted November 1, 2026
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Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 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 42 open technical product manager listings that state pay, the middle half runs $138,000 to $177,500 and the median is $157,000.
Listed pay is what employers advertise, not what people are paid.
Technical Product Manager salaries by state · Check your own pay
How AI is used in this kind of work
Among sales representatives, wholesale and manufacturing, technical and scientific products, AI is already used for some of the tasks. Measured exposure for sales representatives, wholesale and manufacturing, technical and scientific products: 27% (some).
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.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
A fast-growing startup applies AI to the daily chores of data engineering teams, such as documentation and performance tuning, and delivers it inside tools those teams already use. Enterprise customers pay for the product and a large free user base keeps feeding requests, so the company is expanding its product group.
Responsibilities
Define strategy and roadmap by spending time with customers and users to uncover the key use cases
Partner with designers to craft interfaces built natively around generative AI
Pair with strong engineers to deliver new capabilities that surpass what customers expect
Speak for the user base internally and support sales and support colleagues on key enterprise accounts, before and after the sale
Work with marketing on pricing, positioning, messaging and demand generation
Work directly with the founders on engineering priorities as well as how the product reaches customers
Qualifications
Three or more years in product management, ideally at a seed to Series B startup
Experience building and launching products from zero to one for technical users
Solid grasp of the modern data stack, such as dbt, Snowflake, Spark, Airflow and Databricks
Daily use of AI coding tools
Experience with products built natively on generative AI is a bonus, as is a past data engineering role
Technical degree in math, computer science or similar is a plus
Hybrid in the South Bay Area of Silicon Valley. Visa transfers are considered case by case.