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
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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.
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Work AI-infra meetups, hackathons, and conferences across the Valley to build a visible personal brand and technical network.
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Be the connector: know everyone, introduce them to each other, and turn relationships into community momentum.
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Evangelize credibly through talks, blog posts, social content, and short demo videos grounded in real community insight.
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Demo a Python-based open-source framework live to technical audiences, hold your own with ML engineers, and answer real code-level questions.
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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.
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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:
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1–3+ years in DevRel, community building, growth, or developer-facing GTM — you've run this motion before and know what works.
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Demonstrated experience hosting technical events and converting attendee engagement into measurable business outcomes.
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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.
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Experience building and scaling developer communities or technical events from zero, with a track record of growing attendance and engagement.
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Proficiency with modern GTM stack tools: CRM platforms, data enrichment tools (Clay or similar), API integrations, and basic automation workflows.
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Experience measuring community and event initiatives using product analytics (Mixpanel or similar), GitHub signals, and CRM data to track pipeline and ROI.
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Ability to create and distribute technical content (blog posts, demo videos, social) that resonates with developer audiences.
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Track record of turning manual, one-off community activities into repeatable, scalable, measurable systems.
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Experience in early-stage or scrappy startup environments — not large enterprises.
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Based in San Francisco or ready to relocate — this role is fully on-site and does not work remotely.
Nice to Have:
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Existing network within the SF AI, ML infrastructure, or MLOps community.
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Prior experience contributing to or building open-source communities; understanding of GitHub-native developer behaviors.
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Familiarity with the MLOps, LLMOps, or agent infrastructure landscape.
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Experience running product-led growth (PLG) or usage-based GTM motions.
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Visible personal brand: public speaking, conference talks, or recognizable community presence.
Compensation & Benefits
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Salary: $120,000 – $250,000 USD annually, depending on experience.
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Direct access to founders and meaningful influence over US GTM strategy from day one.
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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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