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GTM AI Engineer

Customer.io· Marketing
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Remote$140k - $170kfull-timePosted 3mo ago

About the role

GTM AI Engineer to scale and productionize AI agents for Customer.io's GTM team, moving from prototypes to production-grade systems with a focus on reliability, observability, and scalable infrastructure on GCP.

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.

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.
  • 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?"

Skills

Required:Alpha-to-production ownershipObservability & monitoringDeployment & infrastructure on GCPDatabase administration for agentsLLM-based application development

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
  • remote work stipends and wellness stipends
  • professional development budget
  • equity grant in the form of stock options
Last updated Oct 18, 2026. Interested? Apply on the company site.

About Customer.io

Customer.io Platform: Automation, Data, Content Creation

The customer engagement platform for personalized customer journeys across all channels, fueled by first-party data.

AutomationContent CreationCustomer JourneysCustomer engagementDataFirst-party dataPlatformbrex-fastest-growing-2025
Company profileWebsite

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