Careers at Gleanwork

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 2026 or Spring 2027 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 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 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.

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: We are looking for a Software Engineer, Developer Productivity to shape the way our engineers build, test, and ship software. Our codebase is large and multi-language, powered by Bazel, with pipelines running on GitHub Actions and cloud remote execution. In this role, you will design and optimize build systems, CI/CD pipelines, and developer tooling, while also enabling engineers to effectively leverage AI-powered coding and productivity tools. Your work will reduce friction in everyday workflows, scale our infrastructure, and help the entire engineering team move faster with confidence. You will Own and evolve a multi-language build system, improving hermeticity, reproducibility, dependency management, and developer usability. Design and operate CI/CD infrastructure that makes builds and tests faster, more reliable, and more cost-efficient at scale. Diagnose and eliminate sources of CI friction, including flaky tests, slow feedback loops, and difficult local development workflows. Build developer tools that improve onboarding, debugging, code review, and everyday engineering productivity. Lead practical adoption of AI coding assistants and agentic workflows, measuring usage and impact rather than simply introducing new tools. Partner with engineers across the company to identify bottlenecks, prioritize improvements, and demonstrate measurable results. About you Strong software engineering background in Java, Go, Python, or a similar language. Meaningful ownership of build systems, CI/CD infrastructure, or developer productivity tooling. Bazel experience is strongly preferred. Experience operating distributed build or test environments, with familiarity in Kubernetes or cloud infrastructure. Strong debugging skills and a track record of improving engineering workflows. Experience enabling AI developer tools is a plus, particularly when paired with evidence of adoption or productivity impact. 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 - $220,000 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 software 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 generative AI, RAG, 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: Design, build, and improve AI/ML systems and data pipelines infrastructure, including platforms that power large language model serving, routing, and orchestration at scale Work with and enable other engineers focused on modeling and Agentic capabilities Build agentic systems that leverage AI to proactively monitor, diagnose, debug and maintain infrastructure health at scale across cloud deployments Write robust code that's easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you: 2-6 years of experience BA/BS in computer science, math, sciences, or a related degree Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Batch processing pipelines, Serving infrastructure, etc.) Strong coding skills (Python, Go, Java) 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 (3-4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $175,000 - $270,000 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.