Product Engineer (AI Engineering Simulation)
ScrumAID
San Francisco, CA · Posted November 1, 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 data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 39 open product engineer listings that state pay, the middle half runs $177,500 to $262,000 and the median is $210,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).
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
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About the job
A startup that applies machine learning to engineering simulation is hiring a product engineer to own the part of the product that customers touch directly. The role converts cutting-edge research into dependable, repeatable workflows for users in industrial and defense settings.
Scope
Take charge of the application that customers use, working across frontend, APIs and backend data systems
Build complete flows for bringing in CAD or 3D geometry
Set up and launch jobs for the company’s models through guided configuration
Present simulation output in clear visual form that engineers can trust
Work with the research team to make new capabilities usable, stable and reproducible
Carry features from specification through rollout, migrations and production reliability
Profile
Five to eight years of full-stack engineering, with frontend, APIs and backend or data systems all in your own hands
Experience at an early-stage startup or a tech scale-up
Has shipped customer-facing software that external users depend on
Strength in React and TypeScript plus Python, or equivalent skills; an exact stack match is not required
Plus: 3D or scientific visualization, WebGL, CAD or CAE tooling, enterprise authentication, or customer-controlled deployments
On-site in the San Francisco Bay Area. Visa transfers considered, with a preference for U.S. citizens and green card holders because of defense-related work.