From the listing
About the role
Over 9,000 companies — from scrappy startups to global brands — use Customer.io to send billions of emails, push notifications, in-app messages, and SMS every day. We help teams send smarter, more relevant messages using real-time behavioral data.
We're 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.
Our GTM AI team has built 11 agents running in production, serving 120 active users and roughly 25,000 tool calls a day. This role owns the scale and reliability layer so the rest of the team can keep building.
What you'll do
- 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.
- Instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
- Stand up and maintain deployment pipelines, owning environment parity and release hygiene on our GCP stack.
- Own how agents read from and write to our databases, safely and at scale.
- Monitor agent behavior in production, triage issues, and ship ongoing improvements.
- Partner closely with the GTM AI team, freeing up agent builders 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.
What they're looking for
- 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.
- 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?"
- Energized by making things robust, not just making them work.
- Comfortable being wrong: try things fast and course-correct just as fast.
Nice to have
- Experience at a B2B SaaS company.
- Google Cloud experience strongly preferred.
From the company page
Customer.io benefits
◉ Remote policy · in their words
“As a fully remote company, we don't have any requirements for where you live (wherever makes you happiest!)”
Pulled from their careers page · verified by Atlas
The hot takeJeff's read on Customer.io
They have a very solid careers page, clear perks package, and even a map...I'm such a sucker for a map. What I want MORE of is a better explanation of their remote work policy, and hiring location policies. Put it on my wishlist, please! Help me get you out there to our readers! I particularly like their async work culture that tries to keep meetings to a minimum (a HUGE plus from me). I also really like their extensive perk and benefit package (see below for full list). Make sure to take a look at their careers page, it's extensive!
✔️ Note that Customer.io's Glassdoor score has increased from 3.3 to 3.8. Don't put all your stock in GD reviews, but use them as an indicator.