Staff Product Manager, AI Governance & Supply Chain Integration Risk
O
Obsidian SecuritySaaS Cybersecurity
Remote (United Kingdom), Ability to collaborate across UK, European, and US time zonesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- CybersecurityProduct ManagementRESTful APIsData modeling
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.
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