GTM AI Engineer

Summary

Customer.io is a platform that helps businesses automate communication through various channels. They are seeking a GTM AI Engineer to enhance their AI agents, ensuring they are production-ready and reliable for their GTM teams.

Responsibilities

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hygiene on our GCP stack
• Database administration — own how agents read from and write to our databases, safely and at scale
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it

Skills

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly 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 — Kubernetes, VMs, or equivalent
• Experience with how agents interact with and edit databases, including some 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 — this is an AI-native role, not a hand-coding one
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale
• A point of view, and the willingness to ask 'why did you build it that way?'
• Google Cloud experience strongly preferred

Qualifications

Must Haves

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly 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 — Kubernetes, VMs, or equivalent
• Experience with how agents interact with and edit databases, including some 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 — this is an AI-native role, not a hand-coding one
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale
• A point of view, and the willingness to ask 'why did you build it that way?'

Nice to Haves

• Google Cloud experience strongly preferred

Benefits

• 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
• A professional development budget