Responsibilities

• 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.

Requirements

• 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.

Preferred

• 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.

Benefits

• 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.