GTM AI Engineer - Customer.io

About Customer.io

Over 9,000 companies use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. We help teams send smarter, more relevant messages using real-time behavioral data.

About the Role

We are looking for a GTM AI Engineer to transition our AI agents from scrappy prototypes to production-grade systems. Our GTM AI team has already deployed 11 agents serving 120+ users and 25,000+ daily tool calls. This role owns the scale, reliability, and infrastructure layer, allowing our builders to focus on zero-to-one development.

What You'll Do

• Alpha-to-Production Ownership: Refactor prototype scaffolding into clean, production-quality code; harden prompts and tool definitions.
• Observability & Stability: Instrument tracing, logging, and monitoring to catch regressions proactively.
• Deployment & Infrastructure: Maintain pipelines on our GCP stack, ensuring environment parity and release hygiene.
• Database Administration: Manage how agents interact with databases safely and at scale.
• Fleet Maintenance: Monitor agent behavior, triage issues, and ship continuous improvements.
• Strategic Partnership: Collaborate with the GTM AI team to provide an outside perspective on architecture and design.

What We're Looking For

• 4+ years in software engineering, platform/infrastructure engineering, or similar (B2B SaaS preferred).
• Proficiency in terminal-based workflows and GitHub PR/deploy processes.
• Cloud hosting experience (Kubernetes, VMs, or equivalent); Google Cloud experience strongly preferred.
• Hands-on experience with database administration and agent-database interactions.
• Familiarity with LLM application development: prompt engineering, tool/function calling, and modern agent frameworks.
• An "AI-native" mindset: ability to prompt AI tools, review output critically, and direct AI to QA its own work.
• A strong point of view and the ability to challenge existing technical decisions.

What We Value

• Craft over quick wins: You are energized by building robust, scalable systems.
• A point of view: You ask "why" and provide clear, reasoned alternatives.
• Comfortable being wrong: You iterate fast and course-correct quickly.
• AI-native by default: You leverage AI tools to write and QA code efficiently.

Compensation & Benefits

• Salary: $140,000–$170,000 USD.
• Health: 100% coverage of medical, dental, vision, mental health, and supplemental insurance for you and your family.
• Time Off: Unlimited PTO and 16 weeks paid parental leave.
• Support: Remote work and wellness stipends, plus a professional development budget.