About The Position

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: You’ll drive our shift to an AI-first GTM operating model across Sales and Customer Success. This role focuses on improving GTM execution by removing friction from the customer journey, from pipeline generation and deal execution through onboarding, adoption, expansion, and renewal. You will take real workflow pain from the field and translate it into practical, measurable improvements using AI agents, automation, and better data flow across systems. You’ll design and ship solutions using tools like Relevance AI, Momentum, Clay, and LLM tooling. You’ll influence GTM AI strategy by shipping what works, setting a high bar for quality and operational rigor, and creating reusable patterns that scale. You’ll own outcomes end-to-end. That means turning ambiguous asks into a clear plan, making tradeoffs quickly, and shipping measurable improvements on a steady cadence. Act as the internal GTM AI Subject Matter Expert (SME), promoting responsible AI adoption and automation across GTM teams by recommending effective patterns, tooling, and best practices.

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.

Nice To Haves

  • 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).

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.
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