Staff Product Manager, AI Governance & Supply Chain Integration Risk

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we’re transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem. We’re looking for a PM who thinks beyond product features and focuses on the key outcomes customers care about most: reducing unknown third-party risk, understanding where AI and agentic capabilities are enabled, prioritizing what matters, making risk explainable, and helping teams take action. As SaaS vendors rapidly add AI and agentic capabilities into their applications, enterprises are struggling to answer basic but critical questions: Is AI enabled in our tenants? What does it do? What data can it access? Who can use it? Which agents, apps, or integrations can act on behalf of users? Is any of this governed consistently? This role is not about managing a feature backlog. It is about identifying the most important customer and business problems, defining the outcomes we need to drive, and partnering with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value. This role is based in the United Kingdom.

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. Required qualifications 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. Based in the United Kingdom, with ability to collaborate across UK, European, and US time zones.