Agentic AI Engineer

Join Supermetrics as an Agentic AI Engineer, where you'll be responsible for building and maintaining the shared infrastructure for all AI agents across the GTM organization. This software engineering role involves writing and shipping production services on Google Cloud, ensuring consistent connections to tools like Salesforce and Zendesk, and maintaining data quality. Enjoy benefits such as healthcare coverage, equity, flexible remote work, generous paid time off, a personal learning stipend, excellent equipment, and stellar team events.

• Ownership of the platform layer that supports the GTM AI agent program, including shared infrastructure, event routing, data connections, deployment pipeline, and observability.
• Building and maintaining the shared infrastructure for all AI agents across the GTM organization, ensuring consistent connections to tools like Salesforce, Gainsight, and Zendesk.
• Setting up and maintaining observability, dashboards, and logs to monitor agent performance and catch issues quickly, while also maintaining data quality and acting as the write authority on the Golden Record (BigQuery).
• You have a strong interest in agentic AI and where it changes what automation can do
• You think in systems and design for maintainability
• You've owned the pager for something that mattered
• You're comfortable in a fast-moving environment where the patterns are still being set, and comfortable being the one who sets them
• You can sit with a non-technical GTM stakeholder, understand the actual problem, and translate it into an infrastructure decision
• REST API and webhook experience: you've integrated multiple third-party systems from scratch
• Working SQL and BigQuery: you read and write SQL comfortably and can connect an application to BigQuery to read, write, and update data
• Applied LLM experience in production: agents or LLM-backed services you shipped and operated, including evaluation, guardrails, cost, and latency management
• Hands-on Google Cloud experience with services such as Cloud Run (or GKE), Pub/Sub, Cloud Scheduler/Workflows, Cloud Logging & Monitoring
• Experience building and running production software: services you personally deployed, monitored, and were on the hook for when they broke
• Experience in a RevOps, SalesOps, or MarketingOps-adjacent environment
• Google-native AI tooling (Vertex AI, Agent Builder, Gemini API)
• Direct experience with Salesforce, HubSpot, Gainsight, or Zendesk APIs