Salary
💰 $119,000 - $188,000 per year
About the role
- Own the end-to-end product lifecycle for Entrata’s IAM platform, including roles/permissions and SSO.
- Lead development of security and compliance features, including audit logs, admin controls, and internal tooling.
- Define and build a unified data layer to support analytics, reporting, privacy requests, and platform observability.
- Translate regulatory and legal requirements into scalable, maintainable product features.
- Partner with engineering, infosec, legal, and platform teams to ensure alignment and secure data practices.
- Prioritize features that drive transparency, enterprise readiness, and customer trust.
- Collaborate across engineering, design, and go-to-market teams to ensure smooth execution and delivery.
- Manage roadmap planning, requirements gathering, and backlog prioritization across distributed teams.
- Integrate AI capabilities into platform features to enhance automation and user experience.
- Use data to drive product decisions, monitor performance, and continuously improve outcomes.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business, Law, or a related field.
- 5+ years of product management experience, with at least 2 years in platform, security, or infrastructure roles.
- Strong understanding of modern software development and agile methodologies.
- Proven experience launching and managing enterprise-scale software products.
- Excellent communication skills, especially when working with technical and non-technical stakeholders.
- Experience navigating enterprise buying cycles and customer requirements.
- Comfortable managing cross-functional teams across geographies (e.g., US and India).
- MBA or advanced technical degree (e.g., MS in Computer Science) - preferred.
- Deep familiarity with authentication protocols (OAuth, SAML), RBAC, and data protection frameworks - preferred.
- Experience working closely with legal, infosec, and engineering teams on compliance and platform integrity - preferred.
- Ability to balance regulatory nuance with technical depth - preferred.
- AI Proficiency Expectations: Prompt Engineering, Context Management, LLM Knowledge, Automation Mindset, Tooling Integration, AI Quality Control, 10x Execution.