Obsidian Security - Staff Product Manager, AI Governance & Supply Chain Integration Risk
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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. • Based in the United Kingdom, with ability to collaborate across UK, European, and US time zones.
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.
No credit card. Takes 10 seconds.