Staff Product Manager, AI Governance & Supply Chain Integration Risk

Responsibilities

• Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
• Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
• Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
• Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
• Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
• Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
• Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
• Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
• Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
• Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.

Requirements

• 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
• Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
• Experience owning a product area from strategy through execution, launch, adoption, and iteration.
• Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
• Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
• Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
• Proven ability to lead cross-functional teams without formal authority.
• Excellent written and verbal communication skills.

Employee Benefits

• Competitive compensation with equity and 401k
• Comprehensive healthcare with dental and vision coverage
• Flexible paid time off and paid holiday time off
• 12 weeks of new parent or family leave
• Personal and professional development resources

Pay Transparency

• The base salary range is $184,000 - $223,000 USD.