
Kubernetes
Google Cloud
GTM AI Engineer
Overview
Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
Job Description
Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.
Responsibilities
- - Alpha-to-production ownership β 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 β instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
- - Deployment & infrastructure β 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 β own how agents read from and write to our databases, safely and at scale.
- - Fleet maintenance β 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 β 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 β tell us what we built wrong, and back it up with a plan to fix it.
Required 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 β 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 β 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?'
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.
About the company
Fueled by first-party data, create personalized journeys across all channels with our customer engagement platform.
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