AI Operations Specialist | Agentic Workflows
Ramp · New York, NY · 1 wk ago
HybridManagementFull-time
About the role
This role sits at the intersection of internal transformation and external impact. The AI systems and workflows you build internally are increasingly becoming part of Ramp's external story.
Responsibilities
- 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.
- 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.
- Measure impact of internal products via (AI-built!) dashboards, QA checks, and iteratively improve them based on user feedback.
- Seed an AI-native culture, coaching internal "AI champions" and embedding templates and practices into team norms.
- Create 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.
- Tackle foundational AI infrastructure challenges with our technical teams: AI data reliability, managing shared AI skills at scale, and solving the hard operational and technical problems underneath a truly AI-powered company.
- Help package and tell Ramp's internal AI journey externally—through customer pitches, conferences, and content—as we find ways to deliver the benefits of what we've built to our customers.
Requirements
- 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-Haves
- 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.