About the RoleThis is the founding US presence for an open-source MLOps and AI infrastructure company, reporting directly to leadership. You will own the San Francisco go-to-market motion end-to-end, sitting at the intersection of community building, technical evangelism, and growth. The role exists to turn community signals into pipeline and reputation into measurable outcomes.
What You'll Do- Launch and grow a recurring SF meetup series from scratch, targeting the ML infrastructure community.
- Represent the company credibly at AI/infra meetups, hackathons, and conferences across the Bay Area.
- Build and maintain relationships across the SF AI, ML, and infra ecosystem, connecting people and turning conversations into lasting partnerships.
- Create and ship technical content including talks, blog posts, demo videos, and social posts grounded in real community feedback.
- Demo a Python framework live in front of technical audiences, answer hard questions, and read production code without hiding behind slides.
- Instrument events and wire product and community signals (CRM, GitHub, analytics, and enrichment tools) into automated workflows so every conversation becomes a traceable pipeline entry.
- Feed product and GTM teams a steady stream of ground-level intelligence on what builders are making, what frustrates them, and who is evaluating what.
What We're Looking For- 2 or more years in DevRel, community building, growth, or developer-facing GTM, preferably at an early-stage or resource-constrained company rather than a large enterprise.
- Proficient enough in Python to demo a framework live, read production code, work with APIs, and troubleshoot in front of engineering audiences.
- Proven track record designing, executing, and growing recurring community events with documented attendance and engagement metrics.
- Experience converting community or product-usage activity (open-source signals, GitHub activity, product telemetry) into leads or measurable growth outcomes.
- Comfortable with the modern GTM stack: CRM, enrichment platforms, light automation, and LLM-based workflows.
- Strong systems thinking, turning one-off hustles into repeatable, measurable motions.
- Self-directed and comfortable running solo without heavy oversight.
- Existing network in the SF AI, ML, or infrastructure community and a visible personal brand (talks, events, or following).
- Familiarity with open-source community dynamics, MLOps, LLMOps, or agent-infrastructure landscapes is a strong plus.
- Based in San Francisco or willing to relocate.
Compensation & BenefitsSalary range:
$160,000 to $220,000 USD annually. Visa sponsorship is not available for this role.
LocationOn-site in
San Francisco, CA, USA. In-person presence is core to this role; remote arrangements are not available.
