About the Role

A fast-growing, early-stage open-source MLOps infrastructure company is hiring a GTM Engineer to own its entire US presence and community from the ground up. This is a solo outpost role based in San Francisco, reporting directly to founding leadership. You'll be the connector, the voice, and the person who turns authentic technical conversations into a traceable pipeline — building the company into a recognized name in the SF AI-infra scene through events, community, and credible technical evangelism.

The company builds the infrastructure layer for ML and AI pipelines, offering an open-source platform for orchestrating production ML workflows and AI agent evaluation across any cloud or tooling environment.

What You'll Do

Own and run the SF developer community from zero — host a bi-weekly meetup series that becomes a must-attend for the ML-infra crowd.
Work AI-infra meetups, hackathons, and conferences across the Valley to build a visible personal brand and technical network.
Be the connector: know everyone, introduce them to each other, and turn relationships into community momentum.
Evangelize credibly through talks, blog posts, social content, and short demo videos grounded in real community insight.
Demo a Python-based open-source framework live to technical audiences, hold your own with ML engineers, and answer real code-level questions.
Instrument community and product signals (Mixpanel, GitHub, CRM, enrichment tools like Clay) into automated flows — enrichment, scoring, follow-up — so every conversation becomes a traceable pipeline.
Be the eyes and ears in the Valley: surface what engineers are building, what frustrates them, and who's evaluating what — feeding insights directly back to product and GTM teams.

What We're Looking For

Required:

1–3+ years in DevRel, community building, growth, or developer-facing GTM — you've run this motion before and know what works.
Demonstrated experience hosting technical events and converting attendee engagement into measurable business outcomes.
Technical enough to demo a Python framework live, read code, work with APIs, and communicate with ML engineers — you don't need to be a full engineer, but you need the credibility.
Experience building and scaling developer communities or technical events from zero, with a track record of growing attendance and engagement.
Proficiency with modern GTM stack tools: CRM platforms, data enrichment tools (Clay or similar), API integrations, and basic automation workflows.
Experience measuring community and event initiatives using product analytics (Mixpanel or similar), GitHub signals, and CRM data to track pipeline and ROI.
Ability to create and distribute technical content (blog posts, demo videos, social) that resonates with developer audiences.
Track record of turning manual, one-off community activities into repeatable, scalable, measurable systems.
Experience in early-stage or scrappy startup environments — not large enterprises.
Based in San Francisco or ready to relocate — this role is fully on-site and does not work remotely.

Nice to Have:

Existing network within the SF AI, ML infrastructure, or MLOps community.
Prior experience contributing to or building open-source communities; understanding of GitHub-native developer behaviors.
Familiarity with the MLOps, LLMOps, or agent infrastructure landscape.
Experience running product-led growth (PLG) or usage-based GTM motions.
Visible personal brand: public speaking, conference talks, or recognizable community presence.

Compensation & Benefits

Salary: $120,000 – $250,000 USD annually, depending on experience.
Direct access to founders and meaningful influence over US GTM strategy from day one.
High-ownership, high-autonomy role at an early-stage company with strong open-source traction.

Visa sponsorship is not available for this role.

Location

This is a full-time, on-site role based in San Francisco, CA, USA. Candidates must be based in San Francisco or willing to relocate. Remote work is not an option for this position.

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