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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.

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.

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.

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.

As a Product Designer, you'll shape Boltz Lab's design, creating intuitive user experiences for molecular modeling tools while collaborating with engineers and researchers.

The MLOps Engineer will optimize, deploy, and operate large-scale machine learning models for Boltz Lab, ensuring efficient and reliable performance across distributed systems while collaborating with ML Researchers.