GTM Engineer

About the Role A fast-moving, 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 high-visibility, one-person outpost role reporting directly to the founding team — you'll be the face of the company in the San Francisco AI infrastructure scene, turning authentic technical relationships into a thriving community and measurable pipeline. The company builds an open-source platform for orchestrating ML pipelines and AI agent workflows across any cloud or tool stack — a product that resonates deeply with ML engineers and MLOps practitioners. You'll operate at the intersection of developer relations, community building, and modern GTM systems. What You'll Do Own and run the SF developer community from zero — including hosting a regular meetup series that becomes the go-to event for the ML infrastructure crowd. Represent the company at AI/ML meetups, hackathons, and conferences across the Bay Area, building a visible personal brand and network. Be the connector — the person who knows everyone, brings people together, and turns community momentum into business outcomes. Evangelize credibly through talks, blog posts, social content, and short demo videos grounded in real community insights. Demo a Python-based open-source framework live in front of technical audiences; hold your own with ML engineers on real questions. Instrument community and product signals (e.g. Mixpanel, GitHub, CRM, enrichment tools like Clay) into an automated GTM flow — enrichment, scoring, follow-up — so every conversation becomes a traceable pipeline. Serve as the eyes and ears in the Valley: surface what people are building, what frustrates them, and who's evaluating what — and feed that intelligence directly into product and GTM strategy. What We're Looking For Required: 1–3+ years in DevRel, community building, growth, or developer-facing GTM roles, with demonstrated experience hosting events and converting attendee engagement into measurable business outcomes. Technical enough to demo and explain a Python framework live, read and understand code, work with APIs, and communicate technical concepts clearly to ML engineers. Proven track record of building and scaling developer communities or technical event series from zero. Proficiency with modern GTM stack tools: CRM platforms, data enrichment tools (Clay or similar), API integrations, and basic automation workflows. Experience instrumenting community/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 media) that resonates with developer audiences. Experience converting manual, one-off community activities into repeatable, scalable, and measurable systems. Comfort working in early-stage, scrappy startup environments with a high degree of autonomy. Nice to Have: Existing professional network within the San Francisco AI, ML infrastructure, or MLOps community. Prior experience contributing to or building open-source communities; fluency with 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 with public speaking experience, conference talks, or recognizable community presence. Compensation & Benefits Salary: $120,000 – $250,000 annually (USD), depending on experience. Direct access to founders and meaningful strategic ownership of the US GTM motion. Opportunity to build a category-defining community in one of the most active AI infrastructure scenes in the world. Please note: visa sponsorship is not available for this role. Location This role is based on-site in San Francisco, CA . Presence in the Bay Area is essential — remote work is not an option for this position.