GTM AI Engineer - Scale & Reliability (Remote)

Kenyan Edu; Northern (KY); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Mental health support

Parental leave 16 weeks

Unlimited PTO

Remote work stipend

Wellness stipend

Professional development budget

Job summary

Customer.io in Americas Remote is seeking a GTM AI Engineer to scale production-grade AI agents and own the reliability layer across the fleet, enabling GTM teams to ship with confidence.

You will own alpha-to-production automation, observability, deployment pipelines on GCP, and image-safe database interaction at scale, collaborating with the GTM AI team to ensure robust, scalable systems.

Qualifications

• 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; 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.

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

Software engineering

Platform engineering

LLM-based development

CLI tooling

Tools

Kubernetes

VMs

GCP

PostgreSQL

Job description

Customer.io in Americas Remote is seeking a GTM AI Engineer to scale production-grade AI agents and own the reliability layer across the fleet, enabling GTM teams to ship with confidence.

You will own alpha-to-production automation, observability, deployment pipelines on GCP, and image-safe database interaction at scale, collaborating with the GTM AI team to ensure robust, scalable systems.