Obsidian Security
SaaS
StaffProductManager,AIGovernance&SupplyChainIntegrationRisk
“Staff Product Manager, AI Governance & Supply Chain Integration Risk at Obsidian Security. Skills: AI Governance, SaaS Risk, Supply Chain Risk, Third-party risk. Own product strategy and roadmap for Supply Chain. Focus on customer outcomes and business impact”
What You'll Achieve.
Reduce unknown third-party risk; Understand where AI capabilities are enabled; Understand where agentic capabilities are enabled; Prioritize what matters; Make risk explainable; Help teams take action; Risk reduction; Prioritization quality; Adoption; Remediation progress; Customer value; Revenue impact
Industry & Context.
Collaborate across time zones
What They're Looking For.
Must Have
7+ years Product Management experience, B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software experience, Track record of defining customer problems, desired outcomes, success metrics, and product strategies, Experience owning a product area from strategy through execution, launch, adoption, and iteration, Technical fluency with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture, Customer and business judgment, 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, Ability to collaborate across UK, European, and US time zones
What You'll Do.
Own product strategy and roadmap for Supply Chain
Focus on customer outcomes and business impact
Identify customer problems related to SaaS supply chain
Identify third-party access problems
Identify AI enablement problems
Identify agentic capabilities problems
Identify data exposure problems
Identify governance gaps
Define success in terms of outcomes
Translate customer problems into product requirements
Translate desired outcomes into product requirements
Translate customer problems into roadmap priorities
Translate desired outcomes into roadmap priorities
Translate customer problems into success metrics
Translate desired outcomes into success metrics
Partner with Engineering on solution direction
Partner with Engineering on technical tradeoffs
Partner with Engineering on sequencing
Partner with Engineering on data models
Partner with Engineering on integrations
Partner with Engineering on risk scoring
Partner with Engineering on workflows
Work with Design to create understandable experiences
Work with Design to create actionable experiences
Partner with Product Marketing on positioning
Partner with Sales on positioning
Partner with Solutions Engineering on positioning
Partner with Customer Success on positioning
Partner with Support on positioning
Partner with Product Marketing on launch readiness
Partner with Sales on launch readiness
Partner with Solutions Engineering on launch readiness
Partner with Customer Success on launch readiness
Partner with Support on launch readiness
Partner with Product Marketing on field enablement
Partner with Sales on field enablement
Partner with Solutions Engineering on field enablement
Partner with Customer Success on field enablement
Partner with Support on field enablement
Partner with Product Marketing on adoption
Partner with Sales on adoption
Partner with Solutions Engineering on adoption
Partner with Customer Success on adoption
Partner with Support on adoption
Partner with Product Marketing on feedback loops
Partner with Sales on feedback loops
Partner with Solutions Engineering on feedback loops
Partner with Customer Success on feedback loops
Partner with Support on feedback loops
Stay close to customer signals around SaaS AI
Stay close to customer signals around AI governance
Stay close to customer signals around agentic workflows
Stay close to customer signals around third-party risk
Stay close to customer signals around identity risk
Stay close to customer signals around data exposure
Stay close to market signals around SaaS AI
Stay close to market signals around AI governance
Stay close to market signals around agentic workflows
Stay close to market signals around third-party risk
Stay close to market signals around identity risk
Stay close to market signals around data exposure
Drive cross-functional alignment
Make tradeoffs visible
Push decisions forward in ambiguous situations
Own outcomes beyond launch
Measure whether work is landing
Learn from customer feedback
Adjust based on results
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering; Design; Product Marketing; Sales; Solutions Engineering; Customer Success; Support; Leadership
Communication Scope
Written communication; Verbal communication
Process & Methodology
Roadmap planning, Prioritization
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