Job Description
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.
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 Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s 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 World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll 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 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.
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 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.
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 $198,000 - $235,500 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, you’ll 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. We’re 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.
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AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we’re committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you’ll 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 isn’t 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 Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
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