Product Manager | Vendor Intelligence & Marketplace
Hybrid (New York, NY (HQ)), Hybrid (San Francisco, CA)$230k - $325kFull-timePosted 4mo ago
About the role
Product Manager role owning price benchmarking, contract analysis, and B2B marketplace capabilities to connect Ramp buyers with vendors at the right price, data-driven and AI-powered decisions within a financial platform.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:Price benchmarkingContract analysisAI / LLM featuresData product mindset
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 (US) + dependents partially
- One Medical annual membership
- 401(k) with employer match
- 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 assistance to NYC or SF (if needed)
- Group medical, dental, vision (Canada)
- Life, AD&D, disability, fertility drug coverage (Canada)
- Group Retirement Plan (RRSP + DPSP) (Canada)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay (Canada)
- Private medical insurance, virtual care, pension options (UK)
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Ramp
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