Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Good match if you like applied AI at the product–revenue boundary and can own delivery independently across time zones for a remote Customer.io role.
As a GTM AI Engineer at Customer.io, days center on shipping AI that helps go-to-market teams act on customer journeys: prototyping models/prompts, wiring them into GTM workflows, running evals, and partnering with growth, marketing, and sales stakeholders. The listing is remote worldwide, so async design docs and clear handoffs matter as much as the models.
Lean on LLM app design, evaluation, and event/campaign data fluency for GTM tools. The CERTS list is empty—no certification costs to cite.
Yes—the listing is remote and open to anywhere in the world.
Building AI for go-to-market workflows at Customer.io; deeper product scope is not spelled out in the supplied data.
No—neither compensation figures nor Glassdoor/Indeed-style ratings appear in the packet.
GTM AI Engineer at Customer.io - Anywhere in the World | Full Time, Remote Position Summary Headquarters based in the Americas, Customer.io is a global platform used by over 9,000 companies to send billions of emails, push notifications, in-app messages, and SMS daily. Our mission is to help teams automate communication with real-time behavioral data for smarter, more relevant messages. We are seeking a GTM AI Engineer to scale our AI agents from prototypes into production-grade systems that can be relied upon by our GTM teams. Key Responsibilities Alpha-to-production ownership: Transform working v1 of newly built agents into production-ready versions, including writing evaluations, hardening prompts and tool definitions, and refactoring prototype scaffolding into clean, production-quality code. Observability & stability: Instrument tracing, logging, and monitoring across the agent fleet to ensure robustness and reliability. Who We're Looking For Craft over quick wins — passionate about making things robust rather than just functional. A point of view — someone who questions decisions and proposes better alternatives. Comfortable being wrong — able to experiment quickly and adapt swiftly based on feedback. AI-native by default — prefers directing AI tools like Claude to write and QA code over manual coding. About Customer.io Over the past 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and approximately 25,000 tool calls a day — all through custom CLIs that work but weren't designed for scalability. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out this motion in real time. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-25 UTC · getajob.ai