Clera logo

GTM Engineer

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Data Science

Date Posted

August 11, 2026

Full Job Description

đź“‹ Description

  • • We're an early-stage open-source MLOps infrastructure startup building the orchestration layer for ML pipelines and AI agent workflows.
  • • This isn't a traditional marketing or sales role. You'll be the connector, the voice, and the person who turns conversations into traceable pipeline.
  • • The mission: make this company a known name in the SF AI-infra scene through events, community, and authentic technical evangelism.
  • • Own and run the SF developer community from zero — including hosting a bi-weekly meetup series that becomes the go-to event for the ML-infra crowd.
  • • Work the AI-infra meetups, hackathons, and conferences that matter; build a visible personal brand and network across the Valley.
  • • 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 (Mixpanel, GitHub, CRM, enrichment tools) into an automated flow — enrichment, scoring, follow-up — so every conversation becomes a traceable pipeline rather than a forgotten business card.
  • • Serve as the eyes and ears in the Valley: what people are building, what frustrates them, who's evaluating what — and feed that intelligence directly back into product and GTM strategy.

🎯 Requirements

  • • 1–3+ years in DevRel, community building, growth, or developer-facing GTM roles, with a demonstrated track record of hosting events and converting attendee engagement into measurable business outcomes.
  • • Ability to demo and explain Python frameworks live to technical audiences, read and understand code, work with APIs, and communicate technical concepts to ML engineers (you don't need to be an engineer yourself).
  • • Experience building and scaling developer communities or running technical events from zero, with a track record of growing attendance and engagement.
  • • Proficiency with modern GTM stack tools: CRM platforms, data enrichment tools (Clay or similar), API integrations, and basic automation workflows.
  • • Experience instrumenting and measuring community/event initiatives using product analytics (Mixpanel or similar), GitHub signals, and CRM data to track pipeline and ROI.
  • • Demonstrated ability to create and distribute technical content (blog posts, demo videos, social media) that resonates with developer audiences.
  • • Proven ability to convert manual, one-off community activities into repeatable, scalable, measurable systems.
  • • Comfortable operating in a self-directed, early-stage environment with minimal hand-holding.
  • • Based in San Francisco or willing to relocate — this role is on-site and does not work remotely.

🏖️ Benefits

  • • Salary: $120,000 – $250,000 USD annually, depending on experience.
  • • Direct access to founders and outsized early-stage impact.
  • • Visa sponsorship is not available for this role.

Skills & Technologies

Python
GitHub
Remote
$120k-250k

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About Clera

Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.

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