Clera
GTM Engineer
About this role
A founding GTM Engineer role at a seed-stage AI infrastructure company where you'll build and own the entire growth data layer, outbound engine, and PLG experiments from day one. You'll instrument the funnel, connect the GTM stack through APIs and automation, and ship AI-powered internal tools while driving market creation.
What you'll do
- Design and own the growth data layer end-to-end: instrument funnels, enrich signups, and build dashboards as the company's source of truth
- Build automated outbound campaigns using lookalike modeling, LinkedIn plays, and champion identification within existing accounts
- Run and scale PLG experiments across content, integrations, backlinks, and paid channels to drive signup growth
- Connect GTM tools via APIs, webhooks, and automation to ensure clean data flow between analytics, CRM, enrichment, and outbound platforms
- Make tooling decisions and own what stays, goes, or gets built internally
- Prototype and ship AI-powered internal tools, then drive adoption across the team
What they're looking for
- Python, TypeScript, JavaScript, or SQL with production experience
- Growth data layer and pipeline design
- REST/GraphQL API design and integration
- Cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes)
- PLG growth experimentation and A/B testing
- Analytics and dashboarding tools (PostHog preferred)
- Lookalike modeling and outbound automation
- High agency and systems thinking in ambiguity
Benefits
- Founding team position with high agency and ownership of entire functions
- Opportunity to invent a market rather than execute an existing playbook
- On-site role in Los Angeles with flexibility to consider San Francisco or New York
- Seed-stage growth opportunity at AI infrastructure company
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a time you designed and owned a growth data layer from scratch—what tools did you choose and why?
- Describe your experience with lookalike modeling and automated outbound. What did you learn about scaling it responsibly?