AI Operations Specialist | Agentic Workflows

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As an AI Product Operator, you will help accelerate Ramp's goal of becoming the most productive company in the world through AI. You will boost not just AI usage across our business, but an AI-first mindset—so that every team develops a muscle for leveraging new AI capabilities instinctually, and is enabled to act on those instincts. 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—influencing how we talk to customers, how our AI agents engage with them in-product, and how we utilize our own operational learnings to save more time and money for customers. You'll work across disciplines as part vibe coder, part data expert, part product manager, and part business ops maven—co-developing the cutting edge of AI building technology for the Ramp team and using it to drive massive change at high velocity. What You'll Do - 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. - 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. - 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. What You Need - 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. Not for You if - You prefer strategy briefings over hands-on delivery. - You lean toward AI research or building models rather than applied AI work. - You'd rather manage people than dive deep into building solutions and discovering new ways to drive edge through technology. - You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level. Don't check every box? We'd still love to hear from you. Many exceptional candidates don'

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.

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. 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. 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.