Developer Relations Engineer

About the Role

This 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 & Benefits

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

Location

On-site in San Francisco, CA, USA. In-person presence is core to this role; remote arrangements are not available.