Senior Product Manager

About the role

We are seeking a Senior Product Manager to own the core risk management capabilities of our next-generation TPRM platform. This role involves defining how financial institutions assess, manage, and monitor their vendor relationships using AI.

Responsibilities

• Risk Assessment: 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.

• Vendor Lifecycle Management: 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.

• Contract Intelligence: Own the product strategy for how we ingest, classify, and extract intelligence from vendor contracts.

• Reporting & Analytics: Define the reporting and analytics experience that gives risk officers, compliance teams, and executives the visibility they need across their vendor portfolio.

• AI-First Workflow Design: Across all of the above, lead the thinking on where AI creates genuine leverage and where human judgment must remain in the loop.

• Cross-Functional Collaboration: Partner closely with Engineering, Design, Data, Sales, and Customer Success to deliver with quality and speed.

• Customer Discovery: 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.

Qualifications

• Required experience and attributes as outlined in the 'What We're Looking For' section.

Benefits

See details in the 'We Offer' section.