Cheiron just raised an $8 million seed round led by Menlo Ventures to build the operating system for drug programs.
In July 2026, Cheiron announced an $8 million seed round led by Menlo Ventures, bringing total funding to $13 million to date, with the backing and strategic support of industry veterans including Moderna co-founder and MIT Institute Professor Robert Langer, former Pfizer Chief Medical Officer Freda Lewis-Hall, Chai Discovery co-founder and CEO Josh Meier, former Starbucks CEO Laxman Narasimhan, and former Apple AI chief John Giannandrea.
Cheiron is building the first AI-native operating system designed to represent an entire drug program as a single connected system. The company's platform helps biopharma teams represent, reason over, and stress-test the full state of a drug development program — including the claims, evidence, assumptions, risks, decisions, and commitments that determine whether a therapy advances.
At the center of the platform is Cheiron's proprietary Life Sciences Knowledge Graph (LKG), connecting the world's biomedical, clinical, regulatory, patent, and commercial knowledge into a single model built for the inferences drug developers make every day. In less than six months since launch, Cheiron has been adopted by tens of thousands of biopharma professionals and deployed by major drug developers, and is already used by 7 of Korea's top 10 biopharma companies.
Founded in 2024 by Stanford-trained AI researchers and biopharma operators, Cheiron is headquartered in Los Altos, California.
LinkedIn: https://www.linkedin.com/company/phnyx-lab/
We're looking for a data-driven, execution-focused Product Manager to lead the full lifecycle of Cheiron's AI-powered search engine — from concept to launch — and drive measurable product impact across the pharmaceutical domain.
This role is ideal for someone who thrives at the intersection of data, strategy, and product execution, with strong ownership over defining user problems, prioritizing roadmaps, and aligning cross-functional teams.
Product Strategy & Planning
Define and manage product roadmaps and backlogs based on core metric priorities.
Translate business and user insights into clear hypotheses, success metrics, and actionable plans.
Data-Driven Decision-Making
Analyze quantitative and qualitative data (usage logs, behavioral data, interviews) to define opportunities.
Connect analytical insights to product decisions and performance improvements.
Feature Definition & Delivery
Draft PRDs, user stories, and product requirements with clear rationale and acceptance criteria.
Collaborate with engineering, design, and business teams to ensure smooth and timely delivery.
Market & User Insight
Conduct competitive, user, and market research to validate hypotheses and uncover unmet needs.
Partner with research and medical experts to identify high-value problems and test product-market fit.
Mindset
Relentlessly driven, resourceful, and fearless — thrives in ambiguity and takes ownership from day one.
"Now, not later" execution mindset; finds creative ways to make things happen.
Product Leadership
Problem Solving
Execution & Impact
