Member of Technical Staff, Product Engineering - Biomedical | South SF (On-site)
OtherMember Of Technical Staff
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Quick Summary
Key Responsibilities
TypeScript, Python Strong fit if you have: 3–7 years as a product, full-stack, or frontend-leaning eng
Technical Tools
OtherMember Of Technical Staff
Client is a 10-person applied research lab building agentic AI for biomedical scientists. $10M+ seed backed by a16z, Menlo Ventures, and Anthropic. Strong organic growth, significant enterprise inbound — and the category is still wide open.
You'll own product features end-to-end on an agent platform processing terabytes of data across complex biological domains. Rare environment where the intelligence bar is set by the demands of science itself.
Responsibilities
~1 min read- →Build and own full-stack product features from user-facing UI to backend services
- →Design frontend-heavy experiences for interacting with AI agents, workflows, and scientific tools
- →Own critical surfaces — billing, usage tracking, authentication, permissions, account management
- →Translate between scientists, AI researchers, and engineers to ship production-ready features fast
- 3–7 years as a product, full-stack, or frontend-leaning engineer at a high-pedigree AI startup
- End-to-end ownership of product features; founding engineer background a strong plus
- Strong product and design instincts — you have opinions on UX and polish
- Avid AI user — you direct agents, delegate tasks, and build AI workflows as part of how you work
- Interest in the intersection of AI and life sciences
- Full-time, on-site in South SF
- $200K–$300K depending on experience + competitive equity
- Open to most visa types; no net-new H1B
- Multiple stints of 6–12 months
Location & Eligibility
Where is the job
San Francisco, United States
On-site at the office
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- 115 days ago
Listing Details
- First seen
- June 29, 2026
- Last seen
- July 26, 2026
Posting Health
- Days active
- 114
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- October 22, 2026
Signal breakdown
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External application
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