Ncontracts is a leading provider of integrated risk management and compliance solutions headquartered in Nashville, Tennessee. They are seeking a Senior Product Manager to own the core risk management capabilities of their TPRM platform, focusing on vendor lifecycle management, risk assessment, and AI-driven product strategies.
Responsibilities:
- Own the end-to-end assessment experience across inherent risk, residual risk, and due diligence workflows
- Define how AI accelerates and augments the assessment process - from auto-populating risk scores based on collected evidence to surfacing gaps and recommending follow-up actions — while preserving the auditability and examiner-readiness that financial institutions require
- Build and evolve the full vendor lifecycle in NextGen: onboarding, periodic review, ongoing oversight, and offboarding
- Define the workflows, automation opportunities, and exception-based management model that allows risk teams to scale their programs without scaling headcount
- Own the product strategy for how we ingest, classify, and extract intelligence from vendor contracts
- Define the reporting and analytics experience that gives risk officers, compliance teams, and executives the visibility they need across their vendor portfolio
- Build toward a 'manage by exception' model where AI surfaces what matters rather than requiring users to hunt for it
- Lead the thinking on where AI creates genuine leverage — automated control assessments, intelligent prioritization, anomaly detection, narrative generation — and where human judgment must remain in the loop
- Partner closely with Engineering, Design, Data, Sales, and Customer Success to deliver with quality and speed
- Contribute to horizontal PRDs that span TPRM modules — including document intelligence and external risk signals — and require tight coordination across the team
- Maintain a continuous cadence of customer engagement with community banks and credit unions
- Bring the voice of the customer into every prioritization discussion and use data and qualitative research together to make confident product decisions
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