About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.
About the Role:
Glean is seeking a Connector TPM to build the pipes that feed the Glean Enterprise graph. This requires balancing the high-level product vision with the deep technical constraints of distributed crawling rate-limiting and data security.
You will:
- Own multiquarter programs across our highestimpact 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 highquality 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.
About you:
- 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 tradeoffs 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.
Location:
- This role is a hybrid (4 days a week in our San Francisco office)
Compensation & Benefits:
The standard base salary range for this position is $198000 - $235500 annually. Compensation offered 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 your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. Required Experience:
Manager
About Glean:Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 10...
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.
About the Role:
Glean is seeking a Connector TPM to build the pipes that feed the Glean Enterprise graph. This requires balancing the high-level product vision with the deep technical constraints of distributed crawling rate-limiting and data security.
You will:
- Own multiquarter programs across our highestimpact 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 highquality 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.
About you:
- 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 tradeoffs 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.
Location:
- This role is a hybrid (4 days a week in our San Francisco office)
Compensation & Benefits:
The standard base salary range for this position is $198000 - $235500 annually. Compensation offered 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 your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. Required Experience:
Manager
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