368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$230k – $325k per year
Location
In office (New York, San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Ramp is a financial operations and spend management platform designed to help businesses automate finance tasks, control spending, and accelerate month-end close. Founded in 2019 and headquartered in New York City, Ramp provides an all-in-one platform combining modern corporate cards with workflow software.

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

Most businesses have no idea if they're overpaying for their software. They renew on autopilot, negotiate without benchmarks, and discover vendor alternatives only after the contract is already signed.

Ramp is uniquely positioned to change that. We see billions of dollars of real-world spend and contract data across thousands of companies, and we're turning it into an intelligence layer that tells businesses exactly what they should be paying, which vendors to consider, and when to act.

As PM for Vendor Intelligence & Marketplace, you'll own the product that powers this: our price benchmarking engine, contract analysis (extracting structure and risk from vendor agreements), and the emerging B2B marketplace that connects Ramp's buyer base to the right vendors at the right price. You'll be one of the first PMs building a true buyer-side intelligence layer inside a financial platform, replacing renewal anxiety and negotiation guesswork with data-driven, AI-powered decisions.

Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week.

What You’ll Do

  • Own the strategy and roadmap for price benchmarks and contract intelligence, turning Ramp's aggregated spend and contract dataset into the most accurate price benchmarking product on the market.

  • Build the B2B marketplace primitives that let Ramp's customers discover, compare, and engage with the right vendors, and give vendors a channel to reach Ramp's buyer base with transparent, competitive pricing.

  • Design "decision moments": surfaces inside Ramp that deliver the right benchmark, contract context, or vendor alternative at exactly the moment a customer is about to sign, renew, or spend.

  • Partner with data science to build the extraction, normalization, and modeling pipelines that power price benchmarks, going from raw contract PDFs and spend data to unit-normalized, SKU-level intelligence a customer can act on in a negotiation.

  • Define the evaluation methodology, quality bar, and feedback loops for AI-powered contract analysis, ensuring the accuracy and explainability that enterprise customers require.

  • Cover the full vendor lifecycle: discovery and intake through price negotiation, contract signing, and renewal, with the right intelligence surfaced at each step.

  • Develop deep understanding of how procurement, finance, and legal teams evaluate, select, and renegotiate vendors, and translate that into sharp product bets with clear customer outcomes.

  • Drive cross-functional alignment on dependencies and launch readiness: GTM enablement, customer communications, compliance review, and supportability.

What You Need

  • BA/BS in a technical or analytical field (Computer Science, Engineering, Analytics, Mathematics, Economics, or related).

  • 5+ years of product management experience, ideally with products where data quality and customer trust are the core value proposition.

  • Sharp product judgment on data products and marketplaces: you understand flywheel dynamics, network effects, coverage-versus-accuracy tradeoffs, and the cold-start problem.

  • AI fluency: hands-on experience building AI features, comfort with LLM-based extraction and retrieval, evaluation methodology, and human-in-the-loop design.

  • Strong commercial instincts: you understand how businesses buy software, what levers drive negotiation outcomes, and why price transparency changes behavior.

  • Track record building products where trust is earned over time: explainability, auditability, graceful degradation, and clear user controls.

  • Comfort working in technical environments (Figma, SQL, Git) and prototyping quickly with modern AI tools (Claude Code, Cursor).

  • Clear, direct communication across technical and non-technical stakeholders; ability to make a crisp case for a product bet without a deck full of slides.

Nice-to-Haves

  • Experience building price benchmarking, market intelligence, or contract analytics products, anywhere from procurement software to B2B SaaS to fintech.

  • Marketplace experience: supply/demand matching, seller acquisition, buyer discovery, and the trust primitives that make two-sided systems work.

  • Document understanding: OCR, LLM-based extraction, normalizing structured data from unstructured contracts.

  • Background in procurement, vendor management, or enterprise SaaS buying and selling, either as a PM or as a practitioner.

  • Familiarity with compliance-adjacent domains: vendor due diligence, security reviews, NDAs, audit trails.

  • Experience at a high-growth startup taking 0→1 products to scale.

Benefits 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)

Canada

  • 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

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
New York
up to $48k per year (net) • Remote/Hybrid • Moscow
Node JS
Python
TypeScript
JavaScript
Node JS
Nest.JS
Python
Django
FastAPI
Databases
Apache Kafka
pgvector
Pinecone
PostgreSQL
Qdrant
RabbitMQ
Redis
AI/ML
Chain-of-Thought
Claude
Claude Code
Copilot
Cursor
LangChain
LlamaIndex
LLM
Prompt Engineering
RAG
Anthropic
Function Calling
OpenAI
Structured Outputs
Frontend
GraphQL
Next.js
React.js
Redux
Redux Toolkit
Zustand
Mobile
State Management
DevOps
AWS
CI/CD
Docker
GCP
GitHub Actions
GitLab CI
Grafana
Kubernetes
Prometheus
Yandex Cloud
GitHub
GitLab
Apply
$24k – $64k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Chennai
Python
Scala
SQL
TypeScript
JavaScript
Java
Python
pySpark
Java
Spring Boot
Databases
Apache Kafka
Databricks
AI/ML
AI Agents
Copilot
Google ADK
LLM
NLP
Prompt Engineering
Spark
Devin
Model Context Protocol
Frontend
Angular
React.js
DevOps
AWS
Azure
CI/CD
Docker
GCP
Kubernetes
OpenShift
GitHub
Analytics
ETL/ELT
Apply
$25k – $49k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Kazan
Python
SQL
Databases
MS SQL
PostgreSQL
Redis
AI/ML
LLM
RAG
Apply
$47k – $103k per year (Estimated) • In office • Full-Time • 18+ years exp • Gurgaon
AI/ML
LLM
Apply
$28k – $58k per year (Estimated) • In office • Moscow
AI/ML
LLM
RAG
Management
n8n
Apply
$128k – $180k per year • In office • Full-Time • 2+ years exp • New York
Java
Python
SQL
DevOps
Incident Management
Apply
$128k – $180k per year • In office • Full-Time • 3+ years exp • New York • San Francisco
AI/ML
Claude
Claude Code
Apply
$146k – $182k per year • In office • Full-Time • New York • San Francisco • Miami
Management
Asana
Zapier
Marketing
HubSpot
Salesforce
Zendesk
Apply
$128k – $180k per year • In office • Full-Time • 3+ years exp • New York
SQL
AI/ML
Claude
Claude Code
Cursor
Embeddings
LLM
AI Agents
OpenAI Codex
Apply
$230k – $325k per year • In office • Internship • 3+ years exp • Bachelor's Degree • New York • San Francisco
AI/ML
Claude
Claude Code
Cursor
DevOps
Git
Design
Figma
Apply
$155k per year • In office • Full-Time • New York
Apply
$220k – $350k per year • Remote/Hybrid • Full-Time • 15+ years exp • New York • Princeton
AI/ML
AI Agents
LLM Guardrails
Model Context Protocol
DevOps
Azure
Azure DevOps
CI/CD
GitHub
Platform Engineering
Design
Figma
Management
Jira
QA
Playwright
Apply
$160k – $283k per year • Equity • In office • 5+ years exp • New York
AI/ML
AI Agents
Apply
$80k – $115k per year • In office • Full-Time • PhD • New York
Apply
$60k – $116k per year (Estimated) • Remote/Hybrid • Bachelor's Degree • New York
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.