Staff Product Manager, AI Governance & Supply Chain Integration Risk

Obsidian Security

6d•$184,000 - $223,000

About The Position

Obsidian Security is seeking a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution. This role focuses on how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem. The ideal candidate will think beyond product features to focus on key customer outcomes such as reducing unknown third-party risk, understanding AI and agentic capabilities, prioritizing effectively, making risk explainable, and enabling teams to take action. As SaaS vendors rapidly integrate AI and agentic capabilities, enterprises face challenges in answering critical questions about AI enablement, data access, user permissions, and consistent governance. This role requires identifying important customer and business problems, defining outcomes, and collaborating with cross-functional teams (Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, leadership) to deliver measurable customer value. The position involves owning the product strategy and roadmap, translating customer problems into product requirements, partnering with Engineering on technical aspects, working with Design on user experience, collaborating with go-to-market teams on launch and enablement, staying informed about market trends, driving cross-functional alignment, and owning outcomes beyond launch through measurement and iteration.

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.

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.