What you will do

• Build services for identity state, role assignment, and policy evaluation.
• Own reliability and observability around approval-critical paths.
• Work closely with product and security on evidence and operator workflows.

What we look for

• Strong backend systems experience in high-consequence environments.
• Comfort with event-driven systems, clear APIs, and operational rigor.
• Good technical judgment about product boundaries and failure modes.

What you will do

• Own evaluation datasets, thresholds, and review-path behavior.
• Translate model behavior into operationally usable confidence signals.
• Partner with platform engineers to ship safe inference updates.

What we look for

• Applied ML experience in verification, ranking, or classification systems.
• Strong instincts around measurement quality and real-world drift.
• Ability to write clear technical notes for non-ML stakeholders.

What you will do

• Review identity-sensitive flows for privilege, leakage, and abuse risks.
• Define controls for operator access, secrets, and evidence retention.
• Contribute to product decisions where assurance and usability collide.

What we look for

• Experience in application security, identity, or platform assurance.
• Clear reasoning around threat models and practical mitigation tradeoffs.
• Comfort influencing architecture, not just reporting issues.

What you will do

• Translate customer process maps into platform policies and approval logic.
• Run discovery with operations, security, and compliance stakeholders.
• Own implementation clarity from pilot through expanded rollout.

What we look for

• Strong systems communication and commercial instincts.
• Experience with regulated customers or high-trust enterprise workflows.
• Ability to move between product detail and executive framing.