About the job
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. 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.
Responsibilities
- Build for GTM Teams. Own the agentic tooling and workflows for the GTM teams that are less served today — SDR prospecting and outreach, Solutions discovery and POV workflows, and channel partner execution.
- Own the GTM data platform. Define the data contracts, schemas, and pipelines that make GTM intelligence possible. Own account scoring, routing, and assignment. Drive net new data acquisitions that expand what our agents can reason over.
- Serve every GTM motion, not just one. Understand the distinct workflows and incentives across the GTM org and build systems flexible enough to serve all of them.
- Instrument, iterate, and close the loop. Define what good looks like. Build eval frameworks, feedback systems, and dashboards that tell you whether the tools are driving real adoption and impact.
Qualifications
Minimum
- 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 PM, 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.
Preferred
- 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.