GTM Engineer
About the Role
This is a ground-up, one-person US outpost role for an early-stage open-source MLOps infrastructure company. You'll own the entire San Francisco presence - community, events, technical evangelism, and pipeline - reporting directly to founding leadership. The goal is to make this company a household name in the SF AI-infra scene.
What You'll Do
Launch and run a recurring SF meetup series targeting the ML-infra 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 - knowing everyone, making introductions, and turning relationships into momentum.
Evangelize credibly through live demos, talks, blog posts, social content, and short demo videos tailored to technical audiences.
Demo a Python-based open-source framework live in front of ML engineers, fielding real questions and engaging at a technical level.
Instrument community and product signals (using tools like Mixpanel, GitHub, CRM, and enrichment platforms) into automated enrichment, scoring, and follow-up flows that turn every conversation into a traceable pipeline.
Feed field intelligence - what teams 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 roles, with demonstrated experience running events and converting engagement into measurable business outcomes.
Ability to demo and explain Python frameworks live to technical audiences, read code, work with APIs, and communicate comfortably with ML engineers.
Track record of building developer communities or technical event series from scratch, growing attendance and engagement over time.
Proficiency with modern GTM tooling: CRM platforms, data enrichment tools (e.g. Clay or similar), API integrations, and basic automation workflows.
Experience instrumenting community and event initiatives using product analytics, GitHub signals, and CRM data to track pipeline and ROI.
Demonstrated ability to produce technical content - blog posts, demo videos, social posts - that resonates with developer audiences.
Systems mindset: you can turn manual one-off hustle into repeatable, scalable, measurable workflows.
Comfortable operating with high autonomy in an early-stage startup environment.
Existing network in the SF AI/ML/infrastructure community is a strong plus.
Familiarity with MLOps, LLMOps, or agent infrastructure landscapes is a strong plus.
Experience with product-led growth (PLG) or usage-based GTM motions is a plus.
Visible personal brand - public talks, conference appearances, or recognizable community presence - is a plus.
Compensation & Benefits
Salary range: $120,000 - $250,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, California, United States. This role requires a physical presence in SF and is not available remotely.