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Ramp

Ramp - Product Manager

Remote - New York City, NY, USA$230k - $325k1mo ago
RemoteSeniorNAInsuranceFintechProduct ManagerBuyerProduct MarketingGitData QualitySQLClaude

Requirements

• 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 • 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) • Unlimited AI token usage • 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 support to NYC or SF (as 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 • 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

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.

Benefits

• SF or NY$230K – $325K • Offers Equity • The final compensation will depend on the location and level at which the candidate is hired. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • No | Would prefer to work remotely • Yes | Able to relocate to the NYC or SF area upon offer acceptance and comfortable being in the office at least 3 days/week • Yes | Currently located in the broader NYC or SF area and comfortable being in the office at least 3 days/week • or drag and drop here • Please describe a product you helped build that you are most proud of. • Can you share an example of how you’ve integrated an AI tool into your product development workflow (e.g., research, PRDs, data analysis, design brainstorming)? • Recruiting Privacy Policy

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