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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 looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: Invent new signals to improve the personalization of our search engine Train a model to capture interactions between signals in our ranking system Design smarter ways to domain-adapt language models to each customer’s corpus Discover new ways of combining LLMs with search engines to answer complex questions Write robust code that’s easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you: 2+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience working with search, recommendation, natural language processing, or other large systems involving machine learning Strong analytical skills and ability to work with data Proven ability to design, build, and ship production-ready models Proficiency in your ML framework of choice Strong coding skills (Python, Go, Java, C++, ...) Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location: This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 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’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of 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 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: Invent new signals to improve the personalization of our search engine Train a model to capture interactions between signals in our ranking system Design smarter ways to domain-adapt language models to each customer’s corpus Discover new ways of combining LLMs with search engines to answer complex questions Write robust code that’s easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you: 2+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience working with search, recommendation, natural language processing, or other large systems involving machine learning Strong analytical skills and ability to work with data Proven ability to design, build, and ship production-ready models Proficiency in your ML framework of choice Strong coding skills (Python, Go, Java, C++, ...) Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location: This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 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’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of 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 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups. This is an applied science role based in San Francisco office. You will: Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation to assist rigorous decision making across all relevant product domains. Develop and maintain our A/B experimentation platform based on stakeholder feedback Write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management and design teams Conduct end to end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. Break down end to end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. Design, develop and own best practices, tools and processes across various evaluation problems, e.g. query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, industry benchmarking. About you: You have 5+ years of experience as a Masters degree holder, 3+ as a PhD degree holders (Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field) You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools, and processes in a pragmatic way that puts business urgencies first. You are very proficient in Python, e.g. proficient enough to maintain an internal source-controlled library used by dozens of others. You are concise and precise in written and verbal communication. Technical documentation is your strong suit. You are proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT). You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights. You have experience in B2B SaaS. You have experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems. You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value of their company’s data. Location: This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits: The standard base salary range for this position is $180,000 - $330,000 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. #LI-HYBRID 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups. This is an applied science role based in San Francisco office. You will: Collaborate with product data science and engineering teams to identify techniques, tooling and process improvements in online A/B experimentation to assist rigorous decision making across all relevant product domains. Develop and maintain our A/B experimentation platform based on stakeholder feedback Write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management and design teams Conduct end to end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. Break down end to end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. Design, develop and own best practices, tools and processes across various evaluation problems, e.g. query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, industry benchmarking. About you: You have 5+ years of experience as a Masters degree holder, 3+ as a PhD degree holders (Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field) You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools, and processes in a pragmatic way that puts business urgencies first. You are very proficient in Python, e.g. proficient enough to maintain an internal source-controlled library used by dozens of others. You are concise and precise in written and verbal communication. Technical documentation is your strong suit. You are proficient in SQL and the modern data stack (e.g. source-controlled dbt pipelines for ETL/ELT). You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights. You have experience in B2B SaaS. You have experience working on ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems. You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value of their company’s data. Location: This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits: The standard base salary range for this position is $180,000 - $330,000 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. #LI-HYBRID 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 looking for a Content Systems Engineer to own the documentation experience for our connectors—the integrations that allow Glean to securely access knowledge across our customers’ systems. Connector documentation serves technical administrators responsible for configuring access, authentication, permissions, and deployments within their organizations. Keeping this information complete and accurate across a rapidly evolving product requires more than traditional authoring. It requires scalable systems that can detect change, generate and validate content, surface risk, and prevent documentation from drifting away from the product. In this role, you will combine technical-writing expertise with programming, information architecture, and advanced AI practices. You will build deterministic automation and agentic workflows that improve documentation freshness and accuracy while reducing repetitive manual work. You will remain accountable for the quality of the resulting customer experience—not merely for producing content. This is an AI-first documentation role. You will use AI to analyse complex inputs, generate and transform content, identify gaps, and support maintenance at scale. You will provide the judgment, technical understanding, evaluation systems, and guardrails needed to ensure that those systems produce accurate, useful, and trustworthy results. The systems and practices you establish for connector documentation will also help improve quality across Glean’s broader documentation set. You will: Own the end-to-end quality, organization, and maintenance of Glean’s connector documentation. Develop a deep understanding of how Glean’s connectors work, including their configuration, authentication, permissions, deployment, and troubleshooting requirements. Build and maintain scripts, agents, and content pipelines that automate documentation creation, transformation, validation, and maintenance. Design reusable AI workflows that combine appropriate models, tools, product context, instructions, and human review. Create evaluations and guardrails for AI-generated and AI-maintained documentation, investigate failures, and improve the context, tools, prompts, and systems that shape output quality. Build deterministic checks that detect stale, inconsistent, incomplete, or inaccurate documentation. Establish an information architecture that helps technical administrators navigate complex setup and configuration flows. Partner with Engineering, Product, QA, Support, field teams, and customers to understand product behavior, identify documentation risks, and prioritize improvements. Define and track measures of documentation health, including freshness, accuracy, automated-check coverage, manual effort, and field or support complaints. Apply successful tools, standards, and quality systems from the connector domain to the broader Glean documentation practice. About you: Prior professional experience of 8-10 Years creating or maintaining technical documentation for a complex software product. A bachelor’s degree in computer science, technical communication, engineering, or another relevant field. Demonstrated ability to independently build, debug, test, and maintain useful scripts, agents, automations, or content pipelines. Strong proficiency in at least one programming language, preferably Python, TypeScript, or JavaScript. Experience with docs-as-code or software-development workflows, including Git, GitHub, command-line tools, code review, and CI/CD. Advanced practical experience using AI beyond one-off content generation, such as: Strong knowledge of technical-writing and content-design principles, including audience analysis, information architecture, task-oriented documentation, and progressive disclosure. The judgment to organize large amounts of ambiguous or conflicting information without producing unverified or low-quality content. The ability to learn a technically complex product deeply and explain how it works with authority. Clear communication skills and the ability to work effectively with engineers, product managers, QA, support teams, field teams, and other subject-matter experts. A customer-focused approach to evaluating documentation quality and prioritizing improvements. Willingness and ability to work on-site full time in Glean’s Bangalore office. Recent professional experience in software development, test automation, or quality assurance. Experience building automated tests or content-quality checks with tools such as Playwright. Experience documenting enterprise software, APIs, authentication systems, permissions models, integrations, or administrative workflows. Familiarity with API specifications and structured documentation sources, including OpenAPI. Experience working directly with customers or conducting structured customer research. Experience defining service-level objectives or other measurable standards for documentation freshness and accuracy. Location : This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: 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 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. #LI-HYBRID 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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: As a Software Engineer intern, you will participate in designing, developing, and maintaining software solutions that power our products and services. You will: Own a scoped, high-impact project end to end - from defining the problem and writing a design, to building, testing, launching, and measuring outcomes Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback Learn quickly and contribute across the stack based on your interests - backend services, product engineering, ML/AI/search, infrastructure, security, and more Work closely with people both within and beyond your team while having fun along the way About you: Graduating in Fall 2027 or Spring 2028 with a B.S., M.S. or Ph.D. in Computer Science or equivalent program A team player, a strong desire to learn, and an owner mentality Comfortable working in a fast paced, data-driven environment Interested in something in the realm of Backend, Infrastructure, Security, UI/full-stack, or ML/NLP/Search Prior internship experience in one or more of the areas above Strong foundation in CS and software development fundamentals Location: This role is hybrid (4 days a week in our Mountain View or San Francisco office) Compensation & Benefits: The hourly pay range for this position is $57 - $69. 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 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. #LI-HYBRID 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 Lead Salesforce Developer – Revenue Systems to provide hands-on technical leadership for our Salesforce platform and revenue systems. You will own the technical design, development, integration, scalability, security, and reliability of Salesforce solutions supporting Sales, Revenue Operations, Partnerships, Finance, and other critical business processes. This is a hands-on engineering leadership role where you will continue to design and build solutions while also establishing engineering standards, leading technical decisions, reviewing code, mentoring developers, and improving the overall Salesforce development practice. You will: Own the technical architecture and delivery of Salesforce solutions across lead, account, contact, opportunity, partner, and revenue workflows. Design scalable Salesforce solutions spanning data models, automation, custom development, integrations, security, and reporting. Develop and maintain custom Salesforce functionality using Apex, Lightning Web Components (LWC), Flow, SOQL, SOSL, and Salesforce APIs. Evaluate business requirements and determine the appropriate configuration versus custom-development approach. Build reusable, scalable, secure, and maintainable Salesforce components and frameworks. Design, develop, and support integrations between Salesforce and third-party applications using REST, SOAP, middleware, platform APIs, and event-driven integration patterns. Establish reliable data synchronization patterns covering field mapping, integration keys, duplicate prevention, idempotency, error handling, retries, monitoring, and alerting. Troubleshoot complex integration failures, data synchronization issues, API-related problems, and platform defects. Lead technical discovery, solution design, estimation, implementation planning, and delivery for Salesforce initiatives. Conduct architecture reviews, technical design reviews, and code reviews. Define and enforce Salesforce engineering standards and best practices across coding, testing, security, documentation, version control, and release management. Mentor Salesforce developers and administrators and provide technical guidance on complex technical problems. Define and maintain Salesforce environment and sandbox strategies and support CI/CD and automated deployment practices. Lead Salesforce deployment planning, validation, rollback planning, and production readiness reviews. Establish appropriate unit, integration, regression, and deployment validation testing practices. Investigate complex Salesforce defects, integration failures, data issues, performance problems, and security concerns. Lead root-cause analysis for production incidents and implement durable solutions to recurring issues. Develop and maintain operational runbooks, troubleshooting documentation, and technical documentation. Partner with Sales Operations, Revenue Operations, Finance, Marketing, Partnerships, IT, Security, and other business teams to translate business requirements into scalable technical solutions. Provide technical input into roadmap planning, prioritization, vendor evaluations, and platform governance. Identify opportunities to simplify processes, improve user experience, increase automation, and maximize the value of Salesforce. Contribute to the long-term architecture and technical strategy of Glean's revenue systems ecosystem. About you: 7–10+ years of Salesforce development experience, including significant experience with enterprise Salesforce implementations. Strong hands-on experience with Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL, SOSL, and Salesforce APIs. Strong understanding of Salesforce architecture, including data modeling, object relationships, security and sharing, profiles, permission sets, access controls, automation, governor limits, performance optimization, and deployment architecture. Proven experience designing and troubleshooting REST and SOAP integrations. Experience working with middleware or integration platforms and enterprise application integrations. Strong understanding of integration patterns, error handling, retries, monitoring, observability, and data synchronization. Experience with Git and structured CI/CD or Salesforce release-management practices. Experience writing and maintaining automated tests and deployment validation processes. Experience leading technical design, architecture reviews, code reviews, and engineering standards. Strong production support, debugging, incident management, and root-cause analysis experience. Demonstrated ability to mentor developers and influence technical decisions. Strong stakeholder-management and problem-solving skills. Excellent written and verbal communication skills, with the ability to communicate technical concepts clearly to both technical and non-technical audiences. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Location: This role is hybrid (4 days a week in our Bengaluru office) 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.

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 lead engineer to drive the billing and revenue platform that powers Glean’s consumption-based pricing for our AI products. As a lead engineer, you’ll provide deep technical leadership and own critical parts of our billing stack end to end. You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive. At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console. You will: Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards. Provide technical leadership and vision across a broad billing surface area, spanning data pipelines, backend services, and web UX. Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability. Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows. Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently. Raise the bar for engineering quality through design reviews, code reviews, and mentoring other engineers on the team. About you: 6+ years of industry software engineering experience Experience building platforms and web interfaces, including frontend, APIs, and backend services. Meaningful experience with billing, payments, pricing, or other revenue-critical systems (usage-based or subscription); or you have built similarly high-integrity, auditable systems. Strong ability to drive technical direction, make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions. An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact. Expertise in Golang, Java, Typescript, SQL is highly desirable. Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial. Location: This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $210,000 - $300,000 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’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of 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 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 . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.