About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

• Own multi‑quarter programs across our highest‑impact connectors (Microsoft 365, Google Workspace, Slack, Atlassian, Salesforce, GitHub, etc.) and the platform capabilities that power all connectors.
• Work closely with tech leads and architects on system design, scalability, and reliability of our connectors stack.
• Design the operating model and technical roadmap that allows us to scale from dozens to hundreds of high‑quality connectors without linear increases in operational burden.
• Technical Leadership: Lead design reviews to balance immediate customer needs with long-term platform scalability.
• Operational Excellence: Drive connector reliability by setting strict SLOs for data freshness and error rates. Build the telemetry and root-cause culture needed to shift from reactive fixes to proactive, high-uptime operations.
• Lifecycle Management: Manage the full connector lifecycle from intake and compliance to GTM launch.

• 5+ years in TPM, PM, or Engineering, with 3+ years leading complex B2B SaaS or cloud infrastructure programs.
• Deep experience in large-scale distributed data pipelines and enterprise identity/security constraints.
• Experience with AI/ML, data pipelines, and API integrations.
• Proven ability to turn ambiguous problems into clear roadmaps, influence architectural designs with staff engineers, and lead rigorous operating rhythms like design reviews and post-mortems.
• Excellent written and verbal communication: able to write crisp technical program docs and status updates, and comfortable presenting trade‑offs and recommendations to engineering and product leadership.
• A builder mindset and high ownership: willing to get into logs, dashboards, and traces; comfortable defining new processes and iterating quickly based on what you learn in production.
• Nice to have:
  • First hand experience building MCP Servers across various SaaS Services.

• This role is a hybrid (4 days a week in our Palo Alto office)