[All remote jobs](https://jobicy.com/jobs.md)[![Customer.io logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/b82146da-221.jpg)](https://jobicy.com/company/customer-io.md)[Customer.io](https://jobicy.com/company/customer-io.md) # GTM AI Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/customer-io.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [LATAM](https://jobicy.com/job-region/latam.md)SalaryUSD 140k–170k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished27 Oct 2026Apply before26 Nov 2026Listing views73Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Customer.io is seeking a GTM AI Engineer to productionize and operate AI agents used by go-to-market teams. The role focuses on agent evaluation, prompt and tool hardening, observability, CI/CD, GCP infrastructure, and safe database operations. The engineer will own reliability and scalability for an active fleet of production agents while partnering closely with rapid-prototyping agent builders. Success requires strong platform engineering judgment, practical LLM application experience, and comfort using AI-assisted development workflows critically. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a high-impact production engineering role supporting a rapidly evolving agent fleet with significant daily tool-call volume. It combines infrastructure ownership, database safety, release reliability, and nuanced LLM evaluation work in an environment that expects independent technical judgment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$155,000US market range (per year)$145k–$185k0$203.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The posting discloses a USD base-salary range of $140,000–$170,000. The annual cadence is inferred from the amount, full-time role context, and US-market professional engineering conventions because the listing does not explicitly state a pay period. Estimated US annual market range for a GTM AI/platform engineer with 4+ years of experience is $145,000–$185,000. ## Core skills Skills and capabilities most closely associated with this opportunity. [LLM application development](https://jobicy.com/jobs?search_keywords=LLM%20application%20development.md)[AI agent engineering](https://jobicy.com/jobs?search_keywords=AI%20agent%20engineering.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Agent evaluation](https://jobicy.com/jobs?search_keywords=Agent%20evaluation.md)[Tool and function calling](https://jobicy.com/jobs?search_keywords=Tool%20and%20function%20calling.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[CI/CD pipelines](https://jobicy.com/jobs?search_keywords=CICD%20pipelines.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Distributed tracing](https://jobicy.com/jobs?search_keywords=Distributed%20tracing.md)[Production monitoring](https://jobicy.com/jobs?search_keywords=Production%20monitoring.md)[Database administration](https://jobicy.com/jobs?search_keywords=Database%20administration.md)[GitHub workflows](https://jobicy.com/jobs?search_keywords=GitHub%20workflows.md)[Software reliability engineering](https://jobicy.com/jobs?search_keywords=Software%20reliability%20engineering.md)[Technical troubleshooting](https://jobicy.com/jobs?search_keywords=Technical%20troubleshooting.md) Sample interview questionsHow would you take an LLM agent from a functional prototype to a production-ready service?I would first define intended outcomes, failure modes, and measurable quality thresholds. I would create representative evaluation datasets, version prompts and tool schemas, add automated regression tests, and implement staged releases with rollback capability. I would then instrument latency, cost, tool failures, and task-success signals before expanding access. What observability signals would you prioritize for a fleet of AI agents? I would capture end-to-end traces for each run, model and tool latency, token and cost usage, tool-call success rates, retry behavior, database errors, and user-visible task outcomes. I would also log versioned prompt and tool metadata so regressions can be connected to a specific release while protecting sensitive data. How would you make agent database access safe and scalable? I would apply least-privilege credentials, separate read and write paths, validate and parameterize all generated queries, and enforce schema-aware guardrails. For writes, I would use approval or policy layers where appropriate, idempotency controls, audit logs, and monitoring for anomalous access patterns. Describe how you would evaluate whether a prompt or tool-definition change is safe to release. I would compare the change against a versioned offline evaluation set that includes expected tasks, edge cases, and known failure scenarios. I would assess task success, correctness, tool-selection accuracy, safety, latency, and cost, then use a limited canary release with production monitoring before broad rollout. How do you use AI coding tools without sacrificing engineering quality? I use them to accelerate implementation, test generation, documentation, and exploration, but I retain responsibility for architecture and verification. I provide precise constraints, inspect generated diffs, run tests and static checks, validate security-sensitive paths manually, and require measurable evidence before merging. Opportunity details ## About this role. ### About [Customer.io](http://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](http://Customer.io) powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. ### About the role Hi, my name is Nick Guardino, Senior Director of Marketing Ops at [Customer.io](http://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 depend on. 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 believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building. ### What we value * Craft over quick wins — energized by making things robust, not just making them work. * A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead. * Comfortable being wrong — you try things fast, and you course-correct just as fast. * AI-native by default — you’d rather direct Claude to write and QA code than write it by hand. ### What you’ll do * 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. ### What we’re looking for * 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?” ### Compensation & Benefits We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. [See full benefits here →](https://customer.io/careers#:~:text=our%20collective%20success.-,BENEFITS,-Our%C2%A0) ### Our Process No gotchas, no trick questions – just a clear, human process designed to help both of us make an informed decision. * 30-minute Zoom call with Recruiter * 45-minute Zoom call with Hiring Manager * 45-minute Zoom call with a member of the GTM AI team * 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 our pre-employment process. [Customer.io](http://Customer.io) recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official [Customer.io](http://customer.io/) letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact [jobs@customer.io](mailto:jobs@customer.io). ### Join us! Check out our [careers page](https://customer.io/careers/) for more information about why you should [come work with us!](https://customer.io/about/) We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now. 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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Customer.io logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/b82146da-221.jpg) Customer.io Oct 27 New ### [Engineering Manager](https://jobicy.com/jobs/157337-engineering-manager-13.md) Hi, I’m Paul, VP of Engineering at Customer.io. We’re always looking for thoughtful, driven Engineering Managers to add to our org. 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