Product Engineer, Full Stack (AI for Investors)
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)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 33 open product engineer listings that state pay, the middle half runs $180,000 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 Series A startup building an AI knowledge platform for investment professionals is hiring product engineers who like building the product from first principles. Engineers here work close to customers, ship fast and handle sensitive financial information with care.
Day to day
Design interfaces that become part of investors’ everyday workflows, including features that show analysts where each AI answer originated
Create APIs that let the platform operate inside conversational tools, bespoke workflows and applications like spreadsheets
Develop ingestion pipelines that convert scattered, messy data like PDFs, emails and spreadsheets into one knowledge engine
Speak directly with customers, learn their pain points and deliver fixes within days
Uphold strict standards for security, privacy and reliability
Build thorough evaluation sets to keep LLM systems dependable
What you bring
Five to ten years shipping full-stack products with React and TypeScript plus Python or Node
Background designing schemas and APIs for large systems
Enthusiasm for putting AI into production and building reliable products around it
Time at a company known for a high engineering bar and a record of rapid progression
A computer science degree from a strong program
Real motivation for early-stage startup work; finance or fintech knowledge is a bonus
On-site in the San Francisco Bay Area or New York, NY. Visa transfers considered; new sponsorship is not available.