Customer.io
GTM AI Engineer
Customer.io
$140k - $170k
Americas Remote
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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