Vị trí GTM AI Engineer tại Customer.io

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The GTM AI Engineer opening at Customer.io is centered on 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… The employer also lists Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We… and Craft over quick wins — energized by making things robust, not just making them work. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: GTM AI Engineer opportunity with Customer.io. See the official posting for responsibilities and application details. The named technologies include GCP, Kubernetes.

The posting identifies 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company. and Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Americas Remote / Oregon, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Customer.io before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Trách nhiệm

• Thiết kế, triển khai và vận hành phần mềm, dữ liệu hoặc hệ thống hạ tầng sản xuất phù hợp với vai trò.
• Phối hợp với các nhóm kỹ thuật, sản phẩm và khách hàng trong quá trình lập kế hoạch, đánh giá và bàn giao.
• Xử lý sự cố, ghi chép quyết định và cải thiện độ tin cậy, bảo mật và chất lượng.

Yêu cầu

• Kinh nghiệm chuyên môn phù hợp về phần mềm, dữ liệu, AI, bảo mật hoặc hạ tầng.
• Kỹ năng lập trình, giải quyết vấn đề và giao tiếp tốt.
• Có khả năng cộng tác hiệu quả với các nhóm phân tán và đáp ứng yêu cầu khu vực được nêu.

Công nghệ trong công việc

• GCP: The named technologies include GCP, .
• Kubernetes: The named technologies include GCP, .
• Go: We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real .
• LLM: Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent .
• Google Cloud: Google Cloud experience strongly .
• CAN: The GTM AI Engineer opening at Customer.io is centered on 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… The .

Phúc lợi

• Xem tin chính thức để biết phúc lợi và điều kiện việc làm hiện hành.

Về Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive.

We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, and AI help us ship fast and scale with confidence.

You take on the problems nobody's claimed — the ones that span squads with no obvious owner — and carry them from a fuzzy first conversation to what's actually live. If it touches the customer, it's yours to chase down.

Half-formed problems and conflicting signals are your starting material, not a blocker. You define the problem before you solve it, form a point of view on what's worth building, and move without waiting for someone else to de-risk the call.

You think from the customer's problem backward, not the codebase forward. Every technical call traces back to what it does for the person on the other end of the message — and you can explain that connection to people who don't write code. Given the choice, you ship the thing that changes their experience, not the thing that's merely elegant.

A healthy skepticism for "the way things are done"

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