Product Manager, AI Revenue Systems

Навыки

• CRM-системы
• Data Quality
• Google Tag Manager
• Лидерство
• LLM
• RAG
• Маршрутизация и NAT

О компании и продукте

• 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.

Задачи

• 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
• These motions are high-context and high-value, and largely greenfield
• Own the GTM data platform
• Define the data contracts, schemas, and pipelines that make GTM intelligence possible
• Own account scoring, routing, and assignment — the systems that determine which accounts get attention, from whom, and when
• Drive net new data acquisitions that expand what our agents can reason over
• Ensure the data feeding our AI tools is accurate and trustworthy enough to act on
• Serve every GTM motion, not just one
• Resist the pull toward optimizing for a single team
• Understand the distinct workflows and incentives across the GTM org and build systems flexible enough to serve all of them — while still being opinionated about what good looks like
• 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 — and use that signal to make reps active participants in improving the system over time

Требования

• 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
• The path matters less than what you built and what you learned
• 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
• You connect dots across AI, data, and GTM quickly, pick up new domains without needing to be an expert first, and don't wait for perfect requirements to ship
• Comfort with 0-to-1 ambiguity
• There is no established playbook here
• You define the problems, prioritize ruthlessly, and build the foundation others will build on
• Scrappy, opinionated, and low-ego
• You take the work seriously and yourself less so
• You fit in on a team that moves fast, debates hard, and genuinely enjoys building together
• Broad GTM fluency and operational empathy for the field — you understand how GTM functions operate, what they need from tooling and data, and how to build products that earn trust in a skeptical org
• Proven ability to manage senior stakeholders — you can earn trust with VP- and SVP-level leaders, align them on tradeoffs, and keep work moving without escalating everything

Будет плюсом

• 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
• Curiosity about externalizing internal AI work — turning what we build for our own GTM org into a product or market signal

Условия

• AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• UNITED STATES
• 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)
• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health
• UNITED KINGDOM
• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option

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