About The Role

ABOUT THE ROLE

This is a one-person US outpost role for an early-stage open-source MLOps infrastructure company, reporting directly to the founding team. You'll own the entire San Francisco community and GTM presence from the ground up — hosting events, building relationships, and turning authentic technical evangelism into a measurable pipeline. It's a high-ownership, high-visibility role at the intersection of community, developer relations, and growth.

WHAT YOU'LL DO

Launch and run a recurring SF meetup series targeting the ML infrastructure community, growing it from zero into a must-attend event.
Represent the company at AI/ML meetups, hackathons, and conferences across the Bay Area, building a visible personal brand and network.
Act as the community connector — the person who knows everyone and turns relationships into momentum.
Evangelize through talks, blog posts, social content, and demo videos grounded in real community conversations.
Demo a Python-based open-source framework live to technical audiences and hold your own with ML engineers on real questions.
Instrument community and product signals (CRM, enrichment tools, product analytics, GitHub) into automated workflows for enrichment, scoring, and follow-up.
Feed Valley market intelligence — what people are building, what frustrates them, who's evaluating what — directly back into product and GTM strategy.

WHAT WE'RE LOOKING FOR

1–3+ years in DevRel, community building, growth, or developer-facing GTM, with a track record of hosting events and converting engagement into measurable outcomes.
Technically fluent enough to demo a Python framework live, read code, work with APIs, and communicate credibly with ML engineers — engineering experience is a plus but not required.
Proven experience building developer communities or running technical events from scratch.
Proficiency with modern GTM tooling: CRM platforms, data enrichment tools (e.g. Clay), API integrations, and basic automation workflows.
Experience measuring community initiatives using product analytics (e.g. Mixpanel), GitHub signals, and CRM data.
Demonstrated ability to create technical content (blog posts, demo videos, social) that resonates with developer audiences.
A knack for converting one-off manual efforts into repeatable, scalable systems.
Self-directed and comfortable running a solo operation with founders as close strategic partners.
Background at early-stage or scrappy environments rather than large enterprises.
Nice to have: existing network in the SF AI/ML/infra scene; experience with PLG or usage-based GTM motions; familiarity with MLOps, LLMOps, or agent infrastructure; open-source community experience; visible public speaking presence.