GTM AI Engineer
GTM AI Engineer responsible for taking prototype AI agents to production-grade systems. Owns observability, deployment pipelines, database interactions, monitoring, and reliability on GCP for the GTM team's 11+ agents serving 120 users.
About the job
What you'll do
- Alpha-to-production ownership: take newly built agents from working v1 to production-ready by writing evals, hardening prompts and tool definitions, and refactoring prototype scaffolding into clean, production-quality code.
- Observability & stability: instrument tracing, logging, and monitoring across the agent fleet to catch regressions before GTM users notice.
- Deployment & infrastructure: stand up and maintain pipelines that deploy agents to users without surprises; own environment parity and release hygiene on GCP stack.
- Database administration: own how agents read from and write to databases safely and at scale.
- Fleet maintenance: monitor agent behavior in production, triage issues, and ship improvements that make agents indispensable.
- Partner closely with the GTM AI team to free agent builders to focus on zero-to-one work while owning scale and reliability.
- Bring an outside point of view: identify what was built incorrectly and provide a plan to fix it.
What we're looking for
- 4+ years in software engineering, platform/infrastructure engineering, or similar technical role, ideally at a B2B SaaS company.
- Comfort working in the terminal daily with a real GitHub PR-and-deploy workflow.
- Cloud hosting experience with Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
- Experience with how agents interact with and edit databases, including hands-on database administration.
- Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
- Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work (AI-native role).
- Scrappy enough to iterate fast, disciplined enough to think about consistency at scale.
- A point of view and willingness to ask "why did you build it that way?"
Compensation & Benefits
Starting salary for this role is $140,000–$170,000 USD depending on experience and subject to market rate adjustment.
Benefits include 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family; 16 weeks paid parental leave; unlimited PTO; stipends for remote work and wellness; professional development budget; and more.
Skills
Kubernetes, GCP, LLMs, Prompt Engineering, Evals, Agent Frameworks, Database Administration, Observability, Tracing, Logging, Monitoring, Git, Python
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