Clera
GTM Engineer
About this role
Join a Y Combinator-backed AI infrastructure startup as a GTM Engineer to own the complete growth data infrastructure. You'll architect data pipelines, run PLG experiments, and build AI-powered internal tools that drive company-wide decision-making in a small, high-agency team.
What you'll do
- Design and own end-to-end growth data layer including funnel instrumentation, signup enrichment, and company-wide dashboards
- Execute lookalike modeling and automated outbound campaigns to expand from top customers and identify champions within accounts
- Run PLG experiments across content, integrations, backlinks, and paid channels to optimize signup growth
- Integrate GTM stack via APIs, webhooks, and automation across analytics platforms, CRM, enrichment tools, and outbound systems
- Make tooling decisions for the GTM team and ensure clean data discipline across all systems
- Build and ship AI-powered internal tools from prototype through rollout, ensuring team adoption and governance
What they're looking for
- Python, JavaScript/TypeScript, or similar production-level programming
- SQL and data pipeline design connecting multiple platforms via APIs and webhooks
- Growth data modeling, dashboarding, and analytics infrastructure
- PLG experimentation including A/B testing, lookalike modeling, and channel analysis
- API design and integration patterns (REST, GraphQL)
- Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Git and collaborative development workflows
- High agency and systems thinking in ambiguous environments
Benefits
- Equity in a well-funded Y Combinator-backed company
- High agency role with ownership over critical company systems
- On-site collaboration in Los Angeles with flexibility for San Francisco or New York
- Work on AI infrastructure at the intersection of developer tools and autonomous agents
- Small team environment enabling rapid learning and impact
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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 owned a growth data layer end-to-end—what metrics did you instrument and how did they influence company decisions?
- Describe your experience building and maintaining data pipelines that move data between 3+ platforms. What challenges did you encounter and how did you solve them?