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Clera

GTM Engineer

San Francisco$120k–$200kfulltimemidAdded 2 days ago

About this role

Build the growth infrastructure for an early-stage AI infrastructure company. Own the end-to-end growth data layer, automate outbound campaigns, run PLG experiments, and connect the entire stack through APIs and automation.

What you'll do

  • Design and maintain the growth data layer, funnel instrumentation, and company-wide dashboards serving as source of truth
  • Build lookalike models and automated outbound campaigns using enrichment providers and LinkedIn playbooks
  • Run experiments across PLG channels (content, integrations, backlinks, paid) and measure impact on signups
  • Connect analytics platforms, CRMs, enrichment tools, and outbound systems via APIs, webhooks, and automation
  • Evaluate and manage the growth tech stack, deciding what tools to adopt or remove
  • Develop and ship AI-powered internal tools with governance and adoption strategies

What they're looking for

  • Python, TypeScript, and SQL scripting
  • Data pipeline design and ETL via APIs/webhooks
  • Growth data layer architecture and instrumentation
  • A/B testing and PLG growth experimentation
  • Lookalike modeling and outbound campaign automation
  • Analytics and dashboard platforms (PostHog or similar)
  • AI-powered tool development and prototyping
  • CRM and enrichment tool integration

Benefits

  • Salary: $120,000–$200,000 USD annually
  • Early-stage equity
  • On-site role in San Francisco, Los Angeles, or New York City
  • Ownership of critical growth infrastructure
  • Opportunity to shape a new AI infrastructure market
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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 Clera

Likely interview questions

  • Walk us through a growth data layer you've built end-to-end—what metrics did you instrument and how did the dashboards influence company decisions?
  • Describe an experiment you ran in a PLG channel that significantly moved signups. How did you set it up, measure it, and iterate?