Product Operations | AI Revenue Systems

Most companies have more GTM ideas than they can reliably execute. Launching a new motion still requires manual targeting, weeks of enablement, seller coordination, and messy measurement. Learnings live in people's heads. When something works — or stops working — the playbook doesn't change fast enough. Ramp is building the AI platform that GTM runs on — a ground-up application layer where agents handle execution, playbooks encode institutional knowledge, and every interaction feeds a learning loop that makes the system smarter each cycle. We're operating at the frontier of what agents can do in a real enterprise context, and the problems are unsolved: reliable background execution at scale, human-agent collaboration that earns trust, and feedback loops that turn raw GTM signal into a compounding organizational advantage. As a PM for Revenue, you'll own the data and execution layer that makes the GTM platform work: the scoring and routing systems that get the right accounts to the right people, the data infrastructure and acquisitions that power intelligence across the org, and the agents for SDRs, Solutions, and channel teams. This is the foundation that everything else depends on. Because your users are down the hall, feedback is immediate and iteration cycles are short. You'll build sharper product instincts faster here than in most roles — the kind that only come from shipping, seeing what lands, and doing it again. This role partners closely with Engineering, Data Science, Design, Finance, and Sales leadership.

Responsibilities

Build for GTM Teams: Own the agentic tooling and workflows for GTM teams — SDR prospecting and outreach, Solutions discovery and POV workflows, and channel partner execution; Own the GTM data platform: Define data contracts, schemas, and pipelines; own account scoring, routing, and assignment; drive net new data acquisitions; ensure data feeding AI tools is accurate and trustworthy; Serve every GTM motion, not just one: understand distinct workflows and incentives across the GTM org and build flexible systems; Instrument, iterate, and close the loop: define success, build eval frameworks, feedback systems, dashboards, and use signals to make reps active participants

Requirements

1–3 years of product experience, or 3 - 5 years of total experience in a role that built real judgment — banking, consulting, deployment strategy, agent product, GTM operator, or founder; Deep hands-on experience building with AI: you've prototyped, shipped, and iterated on AI tools or agents — not just managed roadmaps about them; Technical fluency with modern AI coding harnesses (Cursor, Claude Code, Codex); Working knowledge of core LLM concepts (prompting, embeddings, retrieval, evals) and the judgment to translate these into reliable products where hallucinations have real consequences; Comfortable in SQL and confident reading data. You can pull your own analysis, spot what the numbers aren't telling you, and make decisions without waiting for a data team; Curious systems thinker who learns fast and defaults to building; Comfort with 0-to-1 ambiguity; Scrappy, opinionated, and low-ego

Nice to have

Broad GTM fluency and operational empathy for the field; Strong working knowledge of GTM data and systems: CRM data models, sales engagement tooling, pipeline data, and intent signals; Prior work in fintech, enterprise SaaS, or other domains where data quality is load-bearing; Proven ability to manage senior stakeholders; Curiosity about externalizing internal AI work — turning what we build for our own GTM org into a product or market signal

Benefits

Flexible PTO; Centralized home-office equipment ordering; Health and wellness stipend; Budget for intra-office travel; Weekly coffee stipend; 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents; One Medical annual membership; 401(k), including employer match on contributions made while employed by Ramp; Fertility HRA (up to $10,000 per year); Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay; Pet insurance; In-office perks: lunch, snacks, drinks, and more; Relocation expense coverage to NYC or SF (if needed)