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4 hours ago
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analytics security compliance ai governance policy managementπ Description
- Own AI governance end-to-end: policies, controls, and adoption.
- Define AI governance model: policy controls, RBAC, data handling.
- Partner with engineering, security, and design to deliver the AI control plane.
- Translate customer feedback into problems and prioritized outcomes.
- Set success metrics and use data-driven prioritization.
- Lead with high autonomy; mentor PMs; represent governance in product decisions.
π― Requirements
- Extensive PM experience on complex, technical B2B SaaS products end-to-end.
- Governance/admin or control-plane AI or data platform product experience (policy, access controls, multi-tenant config).
- Deep knowledge of AI product lifecycle and enterprise adoption patterns.
- Enterprise-ready features: admin settings, subscription controls, usage analytics, audit logs.
- Security/compliance knowledge for AI: data residency, model governance, access controls, EU AI Act, NIST RMF.
- Translate complex concepts into clear product requirements and customer value; cross-functional alignment.
π Benefits
- Benefits to support health, finances, and well-being.
- Flexible Paid Time Off and growth opportunities.
- Equity compensation and Employee Stock Purchase Plan.
- Growth and Development Fund for professional learning.
- Parental leave and home office support.
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