GTM AI Engineer

🕒 July 10

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $140k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Customer.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

📣 Marketing

💰 Series A on 2022-03

SaaS • Marketing

Customer. io is a customer engagement platform that helps businesses create personalized journeys across multiple channels, such as email, SMS, and in-app messaging, by leveraging first-party data. The platform offers solutions for crafting and automating messages with high flexibility and customization. It includes features such as data pipelines for managing customer data, visual workflow builders for automation, and tools for analytics and A/B testing to optimize messaging campaigns. Designed to scale with businesses of all sizes, Customer. io integrates with existing tools and provides a secure, compliant environment with high uptime, making it a trusted choice for over 7,400 brands globally.

📋 Description

• 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.

🎯 Requirements

• 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?"

🏖️ 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