GTM Systems, AI Engineer

Responsibilities

• Own AI intake and delivery across Sales and CSG: run intake, clarify business problems, define requirements and success metrics, prioritize the backlog, and drive initiatives from 0 to 1 through release and iteration.
• Build and ship AI workflows end-to-end: map current-state processes, identify friction, design future-state workflows, and implement agents and automations that teams can rely on day to day.
• Partner cross-functionally to unblock delivery: work day-to-day with Sales, Customer Success, Marketing Ops, Business Technology, Data Science, Finance, and Legal to align on requirements, data usage, governance, and measurable outcomes.
• Build with guardrails: embed permissioning, auditability, and compliance requirements into workflows from day one.
• Launch what you build: drive rollout with lightweight enablement (training assets, office hours, comms), gather feedback, and continuously improve workflows after release.
• Own quality and operational rigor: create test plans, run QA, manage prompt and workflow versioning, and maintain documentation, runbooks, and release notes so delivery is safe and repeatable.
• Measure impact and iterate: track adoption and performance, validate results in partnership with Ops and Analytics, and continuously improve workflows based on usage and outcomes.

Requirements

• 3 to 7+ years in Revenue Operations, GTM Systems, Sales Ops, CS Ops, Business Systems, or similar roles improving GTM execution through process, systems, and automation.
• A pattern of taking ambiguous GTM problems, getting to the root cause fast, and shipping improvements that teams actually adopt.
• Strong judgment and follow-through: you surface tradeoffs early, close open loops, and keep work moving from idea to rollout to iteration.
• Comfort with the technical basics that power modern GTM automation, including APIs/webhooks, JSON payloads, and SQL for validation or analysis (BigQuery preferred).
• Salesforce fluency and comfort working across pipeline, lifecycle, and post-sales workflows.
• Hands-on experience with Relevance AI, Momentum, Clay, Gemini, or Claude.
• Familiarity with GTM Systems like Salesloft, Zoominfo, Clari, D&B, DemandTools and common Sales and CSG workflows.
• Experience building AI workflows with governance patterns (access controls, auditability, feedback loops).

Benefits

• Offers Equity