Senior Technical Program Manager, Connectors

Glean Glean · Enterprise · Mountain View, CA · Product

Glean is seeking a Senior Technical Program Manager to build and scale the connectors that feed their Work AI platform's Enterprise Graph. This role involves managing multi-quarter programs for high-impact connectors, focusing on system design, scalability, reliability, and operational excellence for data pipelines and enterprise security. The TPM will design the technical roadmap for scaling connectors and drive connector reliability through SLOs and telemetry.

What you'd actually do

  1. 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.
  2. Work closely with tech leads and architects on system design, scalability, and reliability of our connectors stack.
  3. 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.
  4. Technical Leadership: Lead design reviews to balance immediate customer needs with long-term platform scalability.
  5. 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.

Skills

Required

  • 5+ years in TPM, PM, or Engineering
  • 3+ years leading complex B2B SaaS or cloud infrastructure programs
  • Deep experience in large-scale distributed data pipelines
  • Experience with enterprise identity/security constraints
  • Experience with AI/ML
  • Experience with data pipelines
  • Experience with API integrations
  • Proven ability to turn ambiguous problems into clear roadmaps
  • Influence architectural designs with staff engineers
  • Lead rigorous operating rhythms like design reviews and post-mortems
  • Excellent written and verbal communication
  • Crisp technical program docs and status updates
  • Presenting trade‑offs and recommendations to engineering and product leadership
  • Builder mindset and high ownership
  • Willing to get into logs, dashboards, and traces
  • Comfortable defining new processes and iterating quickly based on production learnings

Nice to have

  • First hand experience building MCP Servers across various SaaS Services

What the JD emphasized

  • deep technical constraints
  • distributed crawling
  • rate-limiting
  • data security
  • large-scale distributed data pipelines
  • enterprise identity/security constraints
  • high-uptime operations