Director of Product Management
Deep Origin
Director of Product Management
Deep Origin
Cloud-native platform accelerating life-sciences research
Deep Origin · South San Francisco, United States · Full-time · Posted 2026-10-07
Workplace: on_site
About Deep Origin
Deep Origin is a biotech startup building an operating system for science that transforms how life science research is conducted. Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery. Our AI-driven platform enables scientists to accelerate discovery, reduce cost, and bring breakthrough innovations to life faster. As we scale, engineering excellence is a critical lever in advancing our mission to dramatically reduce disease and extend human healthspan.
Role Description
We are looking for an experienced Director of Product Management to lead product execution and help build and scale the product organization at Deep Origin.
This role is for a product leader who has built and scaled B2B SaaS products in a startup environment, taken products from 0 → 1 through product-market fit and meaningful commercial scale, and knows how to deeply understand customer problems before deciding what to build.
You will work closely with executive leadership, Product, Engineering, AI/ML, Science, Sales, Marketing, and Business Development to translate customer and market needs into clear product strategy, priorities, roadmaps, and execution.
This is not a role focused only on maintaining an existing roadmap. We are looking for someone who can challenge assumptions, identify the right customer problems to solve, bring structure to the product organization, and help turn strong technology into scalable products customers value and are willing to pay for.
Experience in biotech, life sciences, biology, chemistry, or drug discovery will be helpful. The most important requirement is a demonstrated record of building and scaling successful software products.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Key Responsibilities:
Product Strategy & Execution
Lead product strategy and execution across our software platform and product portfolio.
Balance long-term product strategy with immediate customer and commercial needs.
Customer Discovery & Product-Market Fit
Spend significant time speaking directly with customers and prospects to understand their workflows, pain points, buying behavior, and unmet needs.
Translate customer insights into scalable product capabilities rather than one-off solutions.
Go-to-Market & Commercial Strategy
Partner closely with Sales, Marketing, Business Development, and Finance on go-to-market strategy.
Connect product decisions to business outcomes including adoption, revenue, retention, and growth.
Product Leadership
Lead, coach, and develop the existing Product Management team.
Develop Product Managers while remaining close enough to the work to help solve difficult product problems directly.
Cross-Functional Leadership
Translate highly technical capabilities into clear customer value.
Values & Working Style
Why This Role Matters Now
Deep Origin is entering a phase where our scientific platform, engineering organization, and commercial capabilities must scale simultaneously. Building a leadership infrastructure that can support this growth is critical.
The Director of Product Management will play a central role in building that capability and helping Deep Origin move from strong technology to products that achieve meaningful market adoption and scale.
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Cloud-native platform accelerating life-sciences research
Deep Origin provides a cloud-native platform that speeds up life sciences R&D by giving researchers a scalable, code-first environment for computational biology. It works through a code-first API that supports docking, free energy calculations, and molecular analyses, all run in parallel in the cloud and connected as an operating-system-like suite for scientific workflows. The company differentiates itself by merging physics-based molecular modeling with generative AI to address data gaps in biology, offering a practical, scalable hybrid approach. Its goal is to accelerate drug development, improve understanding of biological systems, and reduce R&D costs across biotech, pharma, and academia.
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