Technical Product Management Intern (Los Altos)

Cheiron • Los Altos, CA

2d • $35 - $55 • Onsite

About The Position

Cheiron is building the first AI-native operating system designed to represent an entire drug program as a single connected system. The platform helps biopharma teams represent, reason over, and stress-test the claims, evidence, decisions, and commitments driving the drug program to completion. We are looking for a Technical Product Management Intern to turn product concepts into engineering-ready specs, working across product, life sciences, and engineering. Concepts arrive with the “what” and “why” framed. You own the “how, specifically”: how each component fits the existing architecture, what to extend, what to leave alone, and what the build looks like on paper before a line of code is written. CMC (Chemistry, Manufacturing, and Controls) is a specialized domain with its own regulatory frameworks and workflows (e.g. post-approval changes). You do not need to know it coming in. You will have a life sciences team alongside you who own the domain vocabulary and regulatory rules, and you will learn it by working closely with them.

Requirements

• A strong technical foundation: you can read a codebase, reason about system architecture, and ground a spec in what already exists.
• CS, engineering, or a related technical degree.
• Experience producing structured technical documents that someone else could build from: design docs, specs, architecture proposals, research papers, or detailed project writeups.
• Clear personal ownership of the work: you can explain what you defined, the decisions you made about scope and tradeoffs, and what you would improve.
• Fluency with AI tools like Claude Code, Cursor, or equivalent. You use them as a natural part of how you work.
• Initiative, sound judgment, and comfort working through ambiguous problems in a fast-moving environment.

Nice To Haves

• Experience with healthcare, life sciences, regulated industries, or AI-native products is a plus but not required.

Responsibilities

• Break product briefs into components, define relationships and boundaries with the product team and domain experts, 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.
• Define what “correct” looks like for AI-driven features: document extraction, regulatory classification, compliance state derivation.
• Run specs through review with engineering and the life sciences team before handoff; resolve ambiguity during build rather than letting it travel.
• Work directly with founders, engineers, and domain experts, demonstrate progress frequently, and make pragmatic scope decisions.

Benefits

• $35–$55 per hour. Exact compensation within the range depends on demonstrated expertise, relevant experience, and the time the student can commit.
• Relocation support may be available on a case-by-case basis.
• We consider candidates with different immigration and work-authorization circumstances where lawful employment is possible.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: Associate degree