About the Role

This is the founding US presence for a seed/Series A-stage open-source MLOps and AI infrastructure company, reporting directly to the founders. You will own the entire San Francisco developer relations and go-to-market motion, sitting at the intersection of community building, technical evangelism, and growth. It is a high-autonomy, high-ownership role where your work translates directly into pipeline and product direction.

What You'll Do

• Launch and run a recurring ML-infrastructure meetup in San Francisco, growing it from zero into a must-attend community event.

• Represent the company at AI/ML conferences, hackathons, and community gatherings across the Bay Area.

• Demo a Python-based open-source framework live in front of technical audiences and field real engineering questions.

• Create and ship content including talks, blog posts, demo videos, and social content grounded in real community observations.

• Instrument community and event engagement by wiring product-usage signals, GitHub activity, and CRM data into automated lead-scoring and follow-up workflows.

• Act as the eyes and ears in the Valley, feeding product and GTM teams with structured intelligence on what practitioners are building, evaluating, and struggling with.

• Convert conversations and relationships into traceable pipeline using the modern GTM stack.

What We're Looking For

• 2+ years in DevRel, community building, growth, or developer-facing GTM, preferably at an early-stage or resource-constrained company rather than a large enterprise.

• Proficiency in Python with the ability to demo a framework live, read production code, work with APIs, and troubleshoot in front of engineering audiences.

• Hands-on experience building community engagement funnels with tools such as CRM platforms, enrichment tools like Clay, Mixpanel, GitHub APIs, and light automation or LLM-based workflows.

• Documented track record of running recurring events with measurable attendance growth and converting attendee engagement into business outcomes.

• Experience with open-source community dynamics, GitHub-native audiences, and product-led or usage-based GTM motions.

• Familiarity with the MLOps, LLMOps, or AI-agent infrastructure landscape.

• An existing network in the San Francisco AI and ML infrastructure community and a visible personal brand through talks, events, or social presence.

• Self-directed and comfortable building from scratch with minimal process or oversight.

Compensation & Benefits

Base salary: $160,000 to $220,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in San Francisco, CA, United States. In-person presence is a core requirement of this role; remote or hybrid arrangements are not available.