GTM Engineer

Role overview Build and roll out AI-powered workflows that improve how business teams work across sales, marketing, business development, operations, and administration. The role spans opportunity discovery, hands-on engineering, production deployment, and adoption: you’ll work with team leaders to find practical use cases, ship solutions, and help colleagues use them effectively.

Responsibilities - Assess team workflows and identify opportunities for automation or AI assistance. - Maintain a prioritized roadmap of use cases, weighing expected value, feasibility, and business needs. - Design and deploy agent workflows, knowledge retrieval systems, content pipelines, and CRM enrichment tools. - Take solutions from prototype through production, including monitoring, error handling, and user-driven iteration. - Connect workflows with business tools, databases, and collaboration systems. - Lead adoption through training, internal champions, feedback, and usage measurement.

Requirements - At least five years of experience across software engineering, data science, AI or machine learning engineering, or technical operations. - Track record of delivering AI solutions used by business teams in day-to-day work. - Understanding of go-to-market operations, including enterprise sales processes and pipeline workflows. - Ability to identify where automation can improve productivity and execution. - Strong change management skills, including building trust and supporting lasting adoption. - Comfortable working through ambiguity, shipping early versions, and improving them based on feedback.

Benefits and work setup The source lists health, dental, vision, and mental health coverage, a 401(k) plan, flexible paid time off, coworking and team meetups, and a dog-friendly office.