Responsibilities

• Launch and run a recurring SF meetup series targeting the ML-infra community, growing it from zero into a must-attend event.
• Represent the company at AI/ML meetups, hackathons, and conferences across the Bay Area, building a visible personal brand and network.
• Act as the community connector — knowing everyone, making introductions, and turning relationships into momentum.
• Evangelize credibly through live demos, talks, blog posts, social content, and short demo videos tailored to technical audiences.
• Demo a Python-based open-source framework live in front of ML engineers, fielding real questions and engaging at a technical level.
• Instrument community and product signals (using tools like Mixpanel, GitHub, CRM, and enrichment platforms) into automated enrichment, scoring, and follow-up flows that turn every conversation into a traceable pipeline.
• Feed field intelligence — what teams are building, what frustrates them, who's evaluating what — directly back into product and GTM strategy.

Requirements

• 1–3+ years in DevRel, community building, growth, or developer-facing GTM roles, with demonstrated experience running events and converting engagement into measurable business outcomes.
• Ability to demo and explain Python frameworks live to technical audiences, read code, work with APIs, and communicate comfortably with ML engineers.
• Track record of building developer communities or technical event series from scratch, growing attendance and engagement over time.
• Proficiency with modern GTM tooling: CRM platforms, data enrichment tools (e.g. Clay or similar), API integrations, and basic automation workflows.
• Experience instrumenting community and event initiatives using product analytics, GitHub signals, and CRM data to track pipeline and ROI.
• Demonstrated ability to produce technical content — blog posts, demo videos, social posts — that resonates with developer audiences.
• Systems mindset: you can turn manual one-off hustle into repeatable, scalable, measurable workflows.
• Comfortable operating with high autonomy in an early-stage startup environment.
• Existing network in the SF AI/ML/infrastructure community is a strong plus.
• Familiarity with MLOps, LLMOps, or agent infrastructure landscapes is a strong plus.

Preferred

• Existing network in the SF AI/ML/infrastructure community is a strong plus.
• Familiarity with MLOps, LLMOps, or agent infrastructure landscapes is a strong plus.
• Experience with product-led growth (PLG) or usage-based GTM motions is a plus.
• Visible personal brand — public talks, conference appearances, or recognizable community presence — is a plus.