Senior Technical Program Manager, Connectors
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-06-18
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Software Development
Cloud Engineer - Software, Backend Developer, Software Architect
About Glean
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full‑scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business – without vendor lock‑in or costly implementation cycles.
AboutThe Role
Glean is seeking a Connector TPM to build the “pipes” that feed the Glean Enterprise Graph. This role balances high‑level product vision with the deep technical constraints of distributed crawling, rate‑limiting, and data security.
You Will- Own multi‑quarter programs across the highest‑impact connectors (Microsoft 365, Google Workspace, Slack, Atlassian, Salesforce, Git Hub, 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.
- Lead design reviews to balance immediate customer needs with long‑term platform scalability.
- Drive connector reliability by setting strict SLOs for data freshness and error rates and build a telemetry culture that shifts from reactive fixes to proactive, high‑uptime operations.
- Manage the full connector lifecycle from intake and compliance to go‑to‑market 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 such as 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 dive into logs, dashboards, and traces, and to define new processes and iterate quickly based on production learnings.
- Nice to have: first‑hand experience building MCP Servers across various SaaS services.
This role is hybrid – 4 days a week in our Palo Alto office.
Compensation & BenefitsThe standard base salary range for this position is $198,000 – $235,500 annually. Compensation will be determined by factors such as location, level, job‑related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, generous time‑off policy, and the opportunity to contribute to a 401(k) plan. New hires receive a home office improvement stipend and annual education and wellness stipends. We provide healthy lunches daily and host regular company events.
Diversity & InclusionWe are a diverse group of people and are committed to attracting and retaining a wide range of candidates. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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