Product Manager, Agent Security & Governance

Glean•San Francisco, CA

7d•$160,000 - $280,000•Hybrid

About The Position

Glean is hiring a Product Manager for Agent Security and Governance to develop technologies and product features for explainable and transparent AI systems, identifying and preventing AI risks, and improving the observability, security, and privacy of AI agents and the underlying data customers use. The role involves shaping the product roadmap and helping build Glean’s product team in a lean, rapidly growing organization. The Product Manager will work closely with Design, Engineering, Sales, Marketing, Success, leadership, go-to-market teams, and other stakeholders to understand customer needs and deliver enterprise-focused products. The role is hybrid, with four days a week in Glean’s San Francisco office.

Requirements

At least 8 years of product management experience at SaaS companies, primarily serving large enterprises, with responsibilities spanning security, governance, trust, identity, or data integrations.
Strong technical background.
Experience with UX- and API-driven products, integration paths, and third-party product partnerships.
Excellent written and verbal communication skills.
Demonstrated ownership, initiative, and ability to deliver results.
Ability to collaborate effectively with cross-functional partners.
Learning and growth mindset.
Mission-first outlook, with success measured by the success of the product and team.

Responsibilities

Spend substantial time with customers to understand their knowledge needs.
Develop key parts of the product roadmap by aligning customer needs with the product vision.
Empower the team by providing context, setting direction, and building alignment.
Drive customer-focused decisions, clear prioritization, and efficient execution.
Coordinate with leadership, go-to-market teams, and other key stakeholders across the company.
Build processes that can scale as the team and company grow.
Develop product technologies and features for transparent AI, AI risk identification and prevention, and agent and data observability, security, and privacy.