Compensation
Salary undisclosedDescription
About Boltz
Boltz is a public benefit company building the next generation of AI-powered molecular modeling tools to make biology programmable and accelerate drug discovery, while keeping frontier capabilities broadly accessible.
Boltz-1, Boltz-2, and BoltzGen are open models trusted by 100,000+ scientists across biotech and academia, and used in programs at every Top 20 pharma as well as leading agrichemical and industrial research organizations.
We deliver these capabilities through Boltz Lab, our platform for running our latest models and design agents as reliable, production-grade tools. Boltz Lab is designed around real chemistry and biology workflows, so teams can start from a target and a hypothesis and quickly generate, evaluate, and rank candidate molecules.
About the role
As Head of Partnerships & Developer Relations, you will own Boltz’s developer ecosystem strategy.
This role sits at the intersection of business development and technical integration. You will build partnerships with software platforms, cloud providers, and frontier AI labs. You will lead both revenue-generating integrations and strategic distribution partnerships, shaping how Boltz becomes a foundational layer across the bio + AI stack.
About you
Essentials:
- Experience building partnerships at a developer-tools, infrastructure, or platform company
- Strong understanding of APIs, developer ecosystems, and technical integrations
- Track record of structuring and closing partnership deals (commercial and/or strategic)
- Ability to work cross-functionally with engineering, product, and external partners
- Strong communication skills with both technical and business stakeholders
Nice to have:
- Experience in AI/ML platforms or cloud ecosystems
- Familiarity with life sciences software (e.g. Benchling, Veeva, CDD Vault, Dotmatics)
- Scientific or technical background
- Experience at B2D companies like (Stripe, Twilio, AWS, etc)
What we offer:
- Opportunity to define Boltz’s ecosystem and distribution strategy
- Ownership of high-leverage partnerships across AI and life sciences
- Work at the intersection of frontier AI and real-world scientific impact
- Competitive compensation and equity
Stack
AWSMachine Learning
- Posted
- Aug 16, 2026
- Last seen
- Aug 28, 2026
- First seen
- Aug 16, 2026
.png?1758583343)
