Senior Product Manager

Ncontracts

About The Position

We're seeking a Senior Product Manager to own one of the most forward-looking areas of Ncontracts' product portfolio: the vendor discovery, marketplace, and data partner signal layer that powers risk intelligence across our AI-native GRC platform. This is a high-impact individual contributor role for someone who brings strong product fundamentals, a data-driven mindset, and genuine excitement about building at the intersection of AI, third-party risk, and real-time data. You'll define how financial institutions discover and evaluate new vendors, how our marketplace model surfaces and ranks trusted partners, and how data partner integrations feed a near real-time risk signal layer that makes our platform smarter over time. This is greenfield territory: you'll be building category-defining experiences from the ground up, not inheriting a mature backlog. You'll work closely with a talented, collaborative product team and be expected to contribute beyond your immediate ownership — pairing with peers on horizontal capabilities, engaging directly with customers, and helping raise the overall quality of product thinking on the team. Equally important: you're AI-forward. You actively use and experiment with AI-powered tools — Claude Code, Replit, Devin, Cursor, and whatever comes next — and you bring genuine curiosity about how these tools change what's possible for a product manager and the products you build.

Requirements

4–7 years of product management experience in B2B SaaS, with a track record of owning meaningful product areas end-to-end
Strong product management foundation — You write crisp PRDs, run tight discovery cycles, prioritize with discipline, and communicate decisions clearly up and down the organization
Data-driven and analytical — You define success metrics before you build, instrument your features thoughtfully, and use data to drive prioritization and iteration
Customer discovery skills — You have a genuine habit of talking to customers, not just when required. You know how to run a good discovery interview and how to turn what you hear into product decisions
AI/ML product experience — You have shipped or meaningfully contributed to AI or ML-powered features, and you understand the unique challenges of building products where the output is probabilistic
AI-forward mindset — You actively use AI-powered development tools (Claude Code, Replit, Devin, Cursor, or similar) in your own workflow and are excited about their implications for how product gets built
Excellent communication skills — You write and speak clearly, adapt your message to your audience, and can represent your product confidently with customers and executives alike

Nice To Haves

Builder mentality — You're energized by greenfield problems and bring structure to ambiguity without waiting to be told how
Systems thinker — You see how your area connects to the broader platform and make decisions with that context in mind
Collaborative and low-ego — You build trust quickly, share credit generously, and are as valuable in a working session as in a roadmap review
Intellectually curious — You stay current on data, AI, and marketplace trends and bring outside-in thinking to your product area
High ownership — You treat your product area like it's yours, follow through on commitments, and don't need a lot of hand-holding to make progress

Responsibilities

Vendor Discovery — Own the end-to-end experience for how users search, browse, and evaluate vendors within the platform. Define the discovery model, directory structure, and browse experience that helps compliance teams find the right vendors faster.
Marketplace — Build and evolve the marketplace model, including vendor scoring, ranking algorithms, and the onboarding experience for vendors entering the ecosystem. Think carefully about the incentive structures and trust signals that make a marketplace work.
Data Partner Integrations — Own the product strategy and execution for integrations with third-party data providers across the risk intelligence ecosystem. Define how external signals are ingested, normalized, and surfaced to users in ways that drive decisions.
Partner Consolidation Strategy — Lead the evaluation and go-deep strategy for data partner consolidation, helping Ncontracts determine which partnerships to deepen, which to rationalize, and how to communicate that to customers.
Real-Time Risk Signal Layer — Define and drive the architecture of a near real-time signal layer that surfaces vendor drift and emerging risk to users proactively — a foundational capability for the platform's AI ambitions.
Cross-Functional Collaboration — Partner closely with Engineering, Design, Data, Sales, and Customer Success to deliver with quality and speed. Contribute to horizontal PRDs that span modules and require tight coordination across the team.
Customer Discovery — Maintain a continuous cadence of customer engagement. Bring the voice of the customer into every prioritization discussion and use data and qualitative research together to make confident product decisions.

Benefits

A fun, fast-paced work environment
Responsible PTO Plan that meets or exceeds state and local medical and family leave laws
11 paid holidays
Community and social events to keep you connected and engaged
Mental Health Benefits
Medical, Dental and Vision insurance
Company-paid Group Life Insurance, Short- and Long-Term Disability
Flexible Spending Account & Health Savings Account
Aflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice
Pet Insurance
401 (k) with company match with eligibility on Day 1 of employment
2 Paid Volunteer Time Off Days
And much more!