Staff Product Manager, AI Governance & Supply Chain Integration Risk

Staff Product Manager, AI Governance & Supply Chain Integration Risk

Obsidian Security was founded in 2017 to address a critical gap: securing the SaaS applications that power modern business. Our comprehensive SaaS security platform reduces risk, detects threats, and prevents breaches. Backed by leading investors and a team with deep expertise in endpoint and identity security, we are now transforming SaaS security for the era of agentic AI. Trusted by global enterprises, we are scaling rapidly towards IPO readiness and invite you to join us in defining the future of SaaS security.

About the Role

Obsidian Security is seeking a Staff Product Manager to lead product strategy and execution for how customers understand, prioritize, and mitigate risk across their SaaS and third-party ecosystems. This role focuses on key customer outcomes, including reducing unknown third-party risk, understanding AI and agentic capabilities, prioritizing risks, explaining risk factors, and enabling teams to take action.

As SaaS vendors increasingly integrate AI and agentic capabilities, enterprises face challenges in answering critical questions about AI usage, data access, permissions, and governance. This position is not merely about managing a feature backlog; it's about identifying crucial customer and business problems, defining desired outcomes, and collaborating with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver tangible customer value.

This is an onsite, permanent role based in the United Kingdom.

Key Responsibilities

• Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a strong emphasis on customer outcomes and business impact.
• Identify critical customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
• Define success through metrics such as risk reduction, prioritization accuracy, adoption rates, remediation progress, customer value, and revenue impact.
• Translate customer challenges and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
• Collaborate closely with Engineering on solution direction, technical trade-offs, sequencing, data models, integrations, risk scoring, and workflows.
• Partner with Design to create intuitive experiences that clarify complex SaaS, identity, AI, agent, data access, and third-party risk relationships, making them actionable.
• Work with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption strategies, and feedback mechanisms.
• Stay informed about emerging customer and market trends in SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
• Drive cross-functional alignment, ensure visibility into trade-offs, and facilitate decision-making in ambiguous situations.
• Measure the impact of launched products, gather customer feedback, and iterate based on results to ensure ongoing success.

Requirements

• 7+ years of Product Management experience, preferably in B2B SaaS, cybersecurity, risk management, compliance, data, platform, or enterprise software.
• Proven ability to focus on customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact, rather than just features.
• Experience managing a product area from strategy definition through execution, launch, adoption, and ongoing iteration.
• Strong technical understanding, including experience working with Engineering on APIs, data models, integrations, identity and access systems, event data, permissions, and enterprise architecture.
• Excellent customer and business judgment, with a demonstrated ability to prioritize high-impact initiatives and make clear trade-offs.
• Capacity to understand emerging customer challenges in AI governance, SaaS risk, data access, and agentic workflows.
• Demonstrated ability to lead cross-functional teams effectively without formal authority.
• Excellent written and verbal communication skills.
• Must be based in the United Kingdom and able to collaborate effectively across UK, European, and US time zones.