GTM Engineer

About the Role We're an early-stage open-source MLOps infrastructure company building the unified orchestration layer for ML pipelines and AI agent workflows. We're hiring a GTM Engineer to own our entire US presence and community from the ground up — based on-site in San Francisco. This is a one-person outpost role with direct access to founding leadership. You'll build our name in the SF AI-infrastructure scene through events, community building, and authentic technical evangelism. The mission is presence: you'll be the connector, the voice, and the person who turns conversations into a traceable, measurable pipeline. No visa sponsorship is available for this role. What You'll Do Own and run the SF developer community from zero — hosting a recurring meetup series that becomes a must-attend event for the ML-infrastructure crowd. Work the AI-infra meetups, hackathons, and conferences that matter; build a visible personal brand and network across the Bay Area. Be the connector — the person who knows everyone, introduces them to each other, and turns relationships into community momentum. Evangelize credibly through talks, blog posts, social content, and short demo videos rooted in real community insights. Demo the product live in front of technical audiences, answer real questions, and hold your own with ML engineers. Instrument community and product signals (e.g. Mixpanel, GitHub, CRM, Clay) into automated enrichment, scoring, and follow-up flows — so every conversation becomes a traceable pipeline, not just a business card. Serve as the eyes and ears in the Valley: report back to product and GTM on what people are building, what frustrates them, and who's evaluating what. 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 credibly with ML engineers — you don't need to be a full-time engineer, but you need real technical fluency. Experience building and scaling developer communities or technical event programs from zero. 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. Demonstrated ability to create and distribute technical content (blog posts, demo videos, social media) that resonates with developer audiences. Track record of converting manual community activities into repeatable, scalable, measurable systems. Experience working in early-stage or scrappy startup environments. Self-directed and comfortable running a solo market presence with light remote oversight. Based in San Francisco or committed to relocating — this role is fully on-site. Nice to Have Existing professional network within the SF AI, ML infrastructure, or MLOps community. Prior experience with open-source communities and GitHub-native developer behaviors. Familiarity with the MLOps, LLMOps, or AI agent infrastructure landscape. Experience running product-led growth (PLG) or usage-based GTM motions. Visible personal brand — public speaking, conference talks, or recognized community presence. Compensation & Benefits Salary: $120,000 – $250,000 USD annually, depending on experience. Direct access to founders and a high-impact, high-autonomy role at an early stage. Opportunity to define and own the US market presence from the ground up. Location This role is on-site in San Francisco, CA . Remote work is not available. Candidates must be based in San Francisco or willing to relocate. Visa sponsorship is not available.