GTM AI Engineer

Details

Customer.io is a platform used by over 9,000 companies to send emails, push notifications, in‑app messages, and SMS using real‑time behavioral data. The GTM AI team builds AI agents that help GTM teams automate work; this role owns the scale and reliability layer so agent builders can focus on product and iteration.

Responsibilities

• Take AI agents from alpha/prototype to production-ready systems: 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 to catch regressions before end users do.
• Stand up and maintain deployment pipelines and infrastructure, owning environment parity and release hygiene on the GCP stack.
• Own how agents read from and write to databases, ensuring safe and scalable access.
• Monitor agent behavior in production, triage issues, and ship ongoing improvements to increase reliability and usefulness.
• Partner closely with the GTM AI team to free up agent builders to stay focused on zero-to-one work while you own scale and stability.
• Provide an outside point of view: question existing implementations and propose concrete plans to improve them.

Requirements

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role (ideally at a B2B SaaS company).
• Comfortable working in the terminal daily and using a GitHub PR-and-deploy workflow.
• Cloud hosting experience (Kubernetes, VMs, or equivalent); Google Cloud experience is strongly preferred.
• Hands-on experience with how agents interact with and edit databases, including 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 (an AI-native role rather than hand-coding everything).
• Comfortable iterating quickly while disciplined about consistency and scale when a system matures.

What we value

• Craft over quick wins: energized by making things robust, not just making them work.
• A point of view: someone who asks “why did you build it that way?” and can recommend a better approach.
• Comfortable being wrong and iterating quickly.
• AI-native by default — preferring to direct models (the posting mentions Claude) to write and QA code rather than hand-coding everything.

Compensation & Benefits

• Starting salary: $140,000–$170,000 USD (or equivalent in local currency), depending on experience and subject to market rate adjustment.
• 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, and more.

Our Process

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of pre-employment.