Lead IAM Product Manager for AI-Native Security

opal; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Opal is seeking a highly experienced Product Manager to own product direction and execution as our sole PM. You will partner with security and engineering teams at Fortune 500s and startups to shape the IAM platform for the AI era.

You'll report to the CPO and collaborate closely with engineering to translate messy customer realities into a clear, enterprise-grade roadmap, balancing speed with security and scale.

Qualifications

• 6+ years in product management, owning a highly technical product or solution in the security space.
• Track record building 1-to-n products and scaling them.
• Ability to drive high performant engineering output.
• Either a degree in computer science or you categorize yourself as a pseudo/honorary engineer.

Responsibilities

• Own product strategy from insight to execution. Own what we build and where we expand, work directly with customers to validate direction, partner with engineering on technical strategy, and ensure our roadmap positions us to win in IAM.
• Architect our platform to unify human and non-human identity governance across hybrid environments by making sense of on-prem AD, cloud IAM, SaaS apps, and AI agents.
• Lead our evolution from fast and flexible to enterprise-grade at scale without losing what developers love about us.
• Drive category creation and position Opal as the authorization intelligence layer, not just another point solution in a crowded IAM landscape.
• Define the future for Opal and for Identity

Skills

Strategic thinking

Platform architecture

Cross-functional collaboration

Security domain knowledge

Education

CS degree or equivalent

Job description

Opal is seeking a highly experienced Product Manager to own product direction and execution as our sole PM. You will partner with security and engineering teams at Fortune 500s and startups to shape the IAM platform for the AI era.

You'll report to the CPO and collaborate closely with engineering to translate messy customer realities into a clear, enterprise-grade roadmap, balancing speed with security and scale.