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Support recruiting, talent sourcing, candidate experience, interviewing, offers, and onboarding. Improve people operations, employee experience, and internal processes while owning cross-functional company operations projects. Identify manual or unclear workflows and build lightweight systems that help Boltz scale efficiently. The role requires strong judgment, organization, communication, initiative, attention to detail, and comfort working in a fast-changing environment.

Lead Boltz's community-led growth by designing PLG strategy, building conversion funnels, driving content and demand generation, defining metrics and analytics, and managing cross-functional teams to convert open-source users into enterprise customers.

Lead and grow Boltz's global developer and scientific community by engaging users across Discord, GitHub, and other channels; support onboarding and troubleshooting; contribute to open-source models and repos; create technical content (guides, notebooks, demos); run community programs and events; translate user feedback into product and growth insights.

Own Boltz's developer ecosystem strategy by building partnerships with software platforms, cloud providers, and AI labs. Lead revenue-generating integrations and strategic distribution deals, drive technical integrations, and work cross-functionally with engineering and product to make Boltz a foundational layer in the bio+AI stack.

Lead Boltz's enterprise sales, converting inbound interest into $1M+ ACV platform contracts. Drive high-value deals, scope complex engagements, negotiate contracts, expand accounts, and build a repeatable enterprise sales motion while partnering with CEO, science, and product teams.

Partner with the CEO and leadership team to build GTM operational infrastructure: planning cadence, KPIs, board and investor materials, dashboards, cross-functional coordination, and processes to enable scaling and faster decision-making.

As an Applied ML Engineer/Scientist, you'll adapt machine learning models to drug discovery problems, collaborating with domain experts and managing end-to-end modeling projects.

The Software Engineer in Product will design and implement user-facing systems for Boltz Lab, focusing on usability and integration of complex machine-learning and molecular modeling features.

As an ML Research Engineer/Scientist, you'll develop machine learning models for Boltz Lab, collaborating with ML researchers and domain experts in chemistry and biology to enhance drug discovery processes.

As a Software Engineer in Infrastructure, you will design, implement, and maintain backend systems for Boltz Lab, ensuring reliable and scalable molecular modeling workflows.