AI Operations Specialist | Agentic Workflows

Ramp Ramp · Fintech · New York, NY · Product

This role focuses on accelerating AI adoption and building AI-first mindsets within Ramp. The AI Product Operator will enable teams to deploy AI tools and workflows, improve internal AI stacks, measure impact, seed an AI-native culture, build feedback loops for AI agent performance, tackle AI infrastructure challenges, and communicate Ramp's internal AI journey externally. The role requires technical fluency with AI tools, SQL, APIs, and scripting, along with strong operational empathy and communication skills.

What you'd actually do

  1. Ensure Ramp teams are set up to deploy AI tools and workflows at the fastest rate in the industry through enablement and development of internal AI products, agents, skills and tools.
  2. Ensure non-engineering teams are set up to leverage our internal AI stack (Ramp Inspect, Ramp Glass / Claude Code, Ramp Skills, Notion, etc) through focused enablement, product improvements, and building individual success stories
  3. Measure impact of internal products via (AI-built!) dashboards, QA checks, and iteratively improve them based on user feedback.
  4. Seed an AI-native culture, coaching internal "AI champions" and embedding templates and practices into team norms.
  5. Build feedback loops that make internal AI agent performance compound over time - making internal teams faster and higher quality at their work, and evolving external-facing systems that sharpen how Ramp engages with customers through AI.

Skills

Required

  • 2–5 years in product management, product ops, BizOps, strategy, technical program management, revenue operations, or similar.
  • Deep and demonstrated experience using AI to build, ship, and transform work in prior teams or projects.
  • Technical fluency with low-code/no-code and development copilot tools (Notion, Codex, Cursor, Claude Code, CoWork), SQL and BI tools, APIs, scripting, or integrations.
  • Operational empathy: able to partner with business teams to deeply understand challenges and deliver rapid solutions.
  • Strong communicator: you can write crisp docs (with AI!) and run persuasive, engaging internal training sessions that have lasting impact.
  • Comfort being steeped in customer and usage data—you make decisions based on what's actually happening, not just what teams report.
  • Self-starter with high ownership, comfortable with autonomy and ambiguity.

Nice to have

  • Familiarity with departmental workflows in operating teams—Sales, CX, Finance, Risk, HR, etc.
  • Prior experience in internal enablement or change management programs.
  • Curiosity about external applications of internal AI work: customer-facing AI agents, AI spend management, or commercializing operational learnings.

What the JD emphasized

  • deploy AI tools and workflows
  • internal AI stack
  • AI-native culture
  • internal AI agent performance compound
  • foundational AI infrastructure challenges

Other signals

  • deploy AI tools and workflows
  • internal AI stack
  • AI-native culture
  • internal AI agent performance compound
  • foundational AI infrastructure challenges