GTM AI Engineer

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Ownership from alpha to production — transition newly developed agents from a working version 1 to a production-ready state by writing evaluations, refining prompts and tool definitions, and transforming prototype scaffolding into polished, production-quality code.

• Observability and stability — implement tracing, logging, and monitoring across the agent fleet to identify regressions before our 120+ GTM users do.

• Deployment and infrastructure — establish and maintain the pipelines that deliver agents to users seamlessly, ensuring environment parity and release hygiene on our GCP stack.

• Database management — oversee how agents interact with our databases for reading and writing, ensuring safety and scalability.

• Fleet upkeep — monitor agent performance in production, address issues, and implement a continuous stream of enhancements that make an agent essential rather than merely functional.

• Collaborate closely with the GTM AI team — enable our agent developers to focus on their core strengths while you manage scaling and reliability.

• Provide an external perspective — highlight areas of improvement in our builds and support your insights with actionable plans for rectification.

⛳️ Requirements

• Over 4 years of experience in software engineering, platform/infrastructure engineering, or a similar technical role, preferably within a B2B SaaS organization.

• Proficient in terminal operations on a daily basis, with a strong grasp of GitHub pull requests and deployment workflows.

• Experience with cloud hosting solutions — Kubernetes, VMs, or similar; familiarity with Google Cloud is highly preferred.

• Knowledge of how agents interact with and modify databases, along with some practical database administration experience.

• Understanding of LLM-based application development, including prompt engineering, tool/function calling, evaluations, and modern agent frameworks.

• Capability to accurately prompt AI tools, critically assess their outputs, and guide them in self-qualifying their work — this role is AI-native rather than focused on hand coding.

• Resourceful enough to iterate quickly, yet disciplined in maintaining consistency as solutions scale.

• Possess a distinct viewpoint and the courage to question existing build methodologies.

🏝️ Benefits

• Complete coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.

• 16 weeks of paid parental leave.

• Unlimited paid time off (PTO).

• Stipends available for remote work and wellness.

• A budget dedicated to professional development.