Onsite Associate PM, AI-Driven Biopharma Platform

Cheiron; Los Altos, Northern (CA, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Cheiron, a Los Altos‑based AI biotech startup, seeks a product‑minded teammate to turn concepts into engineering specs. You will own the how, coordinating with product, life sciences, and engineering to fit the existing architecture.

You’ll learn the life sciences domain from a dedicated team and translate needs into clear specs used by pharma teams for regulatory decisions. This ground‑floor role offers close collaboration with founders and rapid impact.

Qualifications

• 0–3 years of experience in product management, technical program management, software engineering, or a related technical role (internships count)
• Strong technical foundation: you can read a codebase, reason about system architecture, and ground a spec in what already exists.
• You have written structured technical documents: specs, design docs, architecture proposals, or research papers with clear requirements and edge cases.
• You have built something in an environment with real constraints: a startup internship, a research lab, a side project with users, or an entrepreneurial venture.
• Fluent with AI tools like Claude Code, Cursor, or equivalent. You use them as a natural part of how you work.

Responsibilities

• Break a product brief into its components, define relationships and boundaries with the product team and SMEs, and scope what goes into the build
• Write numbered feature stories with acceptance criteria, edge cases, and state transitions that an engineer can pick up cold
• Review data models and API contracts against the existing schema; identify what to extend, what to refactor, and what to leave alone
• Run specs through review with engineering and the life sciences team before handoff; resolve ambiguity during build rather than letting it travel
• Connect proactively with the life sciences team for domain input and approval on regulatory content; know when to engage them and when to move independently
• Define what “correct” looks like for AI‑driven features: document extraction, regulatory classification, compliance state derivation
• Own product quality for shipped features

Skills

Technical foundation

Structured writing

Product mindset

AI tooling familiarity

Clear communication

Education

CS/Engineering degree

Tools

Claude Code

Cursor

Job description

Cheiron, a Los Altos‑based AI biotech startup, seeks a product‑minded teammate to turn concepts into engineering specs. You will own the how, coordinating with product, life sciences, and engineering to fit the existing architecture.

You’ll learn the life sciences domain from a dedicated team and translate needs into clear specs used by pharma teams for regulatory decisions. This ground‑floor role offers close collaboration with founders and rapid impact.