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About the Role
This is the founding US hire for an open-source MLOps and AI agent infrastructure company, reporting directly to leadership. You will own the entire San Francisco presence, sitting at the intersection of community building, technical evangelism, and growth-oriented GTM, turning community signals into pipeline and reputation into measurable outcomes.
Responsibilities
- Launch and grow a recurring SF meetup from scratch into a must-attend event for the ML infrastructure community.
- Represent the company credibly and technically at AI infrastructure meetups, hackathons, and conferences across the Valley.
- Build relationships across the SF AI/ML community, acting as a connector who turns conversations into lasting partnerships.
- Create and distribute technical content including talks, blog posts, social posts, and demo videos grounded in real community observations.
- Demo a Python framework live in front of engineering audiences, answer technical questions, and engage confidently without relying on slides.
- Instrument community and product signals into automated workflows so every conversation becomes a traceable lead.
- Feed market intelligence back to product and GTM teams regarding community building, frustrations, and evaluations.
Requirements
- 2+ years in DevRel, community building, growth, or developer-facing GTM, ideally at an early-stage or resource-constrained company.
- Demonstrated ability to design and run recurring community events with documented attendance growth and engagement metrics.
- Track record of converting community or product activity into leads, partnerships, or other measurable business outcomes.
- Proficiency with Python: able to demo a framework live, read production code, work with APIs, and troubleshoot.
- Hands-on experience with modern GTM tools, including CRM platforms, enrichment tools, automation workflows, and LLM-based outreach.
- Experience integrating product usage signals, GitHub activity, and CRM data into automated lead-scoring and follow-up workflows.
- Track record creating technical content that drives developer awareness and engagement.
- Familiarity with open-source community dynamics, GitHub-native audiences, and contributor engagement strategies.
- Existing network within the SF AI, ML infrastructure, or MLOps community and a visible personal or professional brand.
- Self-directed and comfortable operating solo with minimal oversight.
- Genuine interest in AI engineering, ML infrastructure, or agent-infrastructure ecosystems.
- Based in San Francisco or fully committed to relocating; this role requires on-site presence.
Skills
- Python
- CRM platforms
- Enrichment tools
- Automation workflows
- LLM-based outreach
- GitHub
- Mixpanel
Location
- San Francisco, United States
Work Type
- On-site
Experience Level
- 2+ years
Salary/Compensations
- $160,000 to $220,000 USD annually