Remote GTM AI Engineer — Scale Production‑Grade AI Agents

WeHireYou; United States; Remote; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical & dental coverage for you and家

Job summary

Customer.io is seeking a GTM AI Engineer to drive agent scale and reliability from v1 to production in a remote Americas setting. You will own the end-to-end lifecycle, from prompts and tool definitions to production-grade code and observability across a fleet serving GTM users.

You will work with a team that values robust engineering, clear decision-making, and rapid iteration. Expect strong collaboration with GTM AI and a path to impact on a fast-growing platform.

Qualifications

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• 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?"

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.

Skills

Software engineering

CLI proficiency

GitHub workflows

Cloud platforms

Kubernetes

Google Cloud

Tools

GitHub

CI/CD

Job description

Customer.io is seeking a GTM AI Engineer to drive agent scale and reliability from v1 to production in a remote Americas setting. You will own the end-to-end lifecycle, from prompts and tool definitions to production-grade code and observability across a fleet serving GTM users.

You will work with a team that values robust engineering, clear decision-making, and rapid iteration. Expect strong collaboration with GTM AI and a path to impact on a fast-growing platform.