YOUR NEXT CHAPTER
Senior GTM AI Engineer
About the role
• Write Python services, SQL models, scheduled jobs, and small internal applications
• Build and operate agents for account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring
• Design agents, provide tools and data, evaluate their output, and maintain them in production
• Turn product usage data in BigQuery and Looker into usage alerts, expansion triggers, and account health scores
• Build account targeting systems covering sourcing, enrichment, deduplication, ICP scoring, and ranked rep queues
• Integrate CRM, enrichment providers, and outbound tools so data moves without human intervention
• Maintain funnel data quality through routing rules, field governance, and attribution
• Prototype quickly, measure results, discontinue ineffective approaches, and work with Sales and Marketing leadership on priorities
• Document systems so they continue operating independently
• 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on
• Strong Python and SQL
• Experience owning production automations end to end, including APIs, webhooks, scheduled jobs, retries, error handling, and monitoring
• Experience building with LLMs beyond a single prompt, including multi-step agents, tool use, retrieval, and evaluation
• Daily use of Claude Code or similar AI-assisted development tools, with engineering judgment to review and test outputs
• Fundamentals in clean code, version control, code review, debugging, and systems thinking
• Ability to work independently without an engineering team to ship
• Curiosity about sales organizations and willingness to learn CRM and related tools quickly
• Builder's mindset with operator's judgment; ability to scope for business impact, ship iteratively, and measure pipeline and revenue
• Low ego, high ownership, and comfort being the single-threaded owner of an entire domain