Developer Relations Engineer
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.