Opportunity at
Customer.ioGTM AI Engineer
Customer.io operates a messaging platform utilized by over nine thousand organizations to deliver billions of emails, text messages, in-app notices, and push notifications daily via behavioral…
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About This Role
Customer.io operates a messaging platform utilized by over nine thousand organizations to deliver billions of emails, text messages, in-app notices, and push notifications daily via behavioral data. The marketing operations department seeks a GTM AI Engineer to transition existing AI agent prototypes into stable, production-ready systems utilized by go-to-market teams. Currently, the team maintains eleven operational agents serving over one hundred twenty active users through a high volume of daily…
Job Description
Customer.io operates a messaging platform utilized by over nine thousand organizations to deliver billions of emails, text messages, in-app notices, and push notifications daily via behavioral data. The marketing operations department seeks a GTM AI Engineer to transition existing AI agent prototypes into stable, production-ready systems utilized by go-to-market teams. Currently, the team maintains eleven operational agents serving over one hundred twenty active users through a high volume of daily tool calls. This position focuses on establishing the scalability, stability, and observability layers of the agent infrastructure so agent creators can continue building new prototypes.
This opportunity fits engineering professionals who value craft and robustness over quick fixes, possess distinct technical opinions, adapt quickly to mistakes, and operate in an AI-native manner by leveraging tools like Claude for code generation and quality assurance rather than manual coding. The selected individual will own the GCP infrastructure, manage database integrations, construct evaluation metrics, and ensure dependable daily operations for the entire agent fleet.
Responsibilities
- Upgrade initial agent prototypes into clean, production-grade codebases with robust evaluation metrics and reliable prompt definitions
- Set up and maintain monitoring, tracing, and logging across the agent fleet to detect regressions early
- Manage deployment pipelines on a Google Cloud Platform stack to guarantee environment consistency and release hygiene
- Oversee how agents safely read from and write to databases at scale
- Monitor active agent behavior, resolve production issues, and continuously ship performance improvements
- Collaborate closely with internal agent builders to support their zero-to-one development work
- Critique existing implementations and introduce well-reasoned architectural improvements
Requirements
- At least four years of professional software, platform, or infrastructure engineering experience
- Familiarity with B2B SaaS corporate environments
- Daily experience utilizing the terminal and standard GitHub pull request and deployment workflows
- Cloud hosting proficiency with Google Cloud Platform, Kubernetes, virtual machines, or equivalent technologies
- Hands-on experience with database administration and managing database interactions for automated agents
- Working knowledge of LLM application development concepts including prompt engineering, tool calling, evaluations, and agent frameworks
- Ability to direct AI models to write, review, and evaluate their own code
Core Skills
Benefits
- Base salary ranging from $140,000 to $170,000 USD or equivalent local currency
- Stock options equity grant
- Full medical, dental, vision, mental health, and supplemental insurance coverage for employee and family
- 16 weeks of paid parental leave
- Unlimited paid time off
- Stipends designated for remote work and wellness
- Professional development budget
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the GTM AI Engineer position?
The starting base salary ranges from $140,000 to $170,000 USD or local currency equivalent, depending on experience and subject to market rates. The role also includes stock options and a comprehensive benefits package.
What technical background is required for this role?
Candidates need at least four years in software, platform, or infrastructure engineering, ideally within a B2B SaaS setting. Requirements also include daily terminal and GitHub workflow use, cloud hosting experience on platforms like GCP or Kubernetes, database administration skills, and familiarity with LLM application development.
What does the interview process involve?
The process consists of a 30-minute Zoom call with a recruiter, a 45-minute Zoom call with the hiring manager, a 45-minute Zoom call with a team member, and a 60-minute live technical session with the team.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.