Glean

Machine Learning Engineer focused on LLM Evals & Observability for Glean's Work AI platform, responsible for designing evaluation datasets, building large-scale evaluation pipelines, developing LLM-powered judges, and creating observability infrastructure for AI agents.

Tech Lead Manager for Agentic Runtime team, responsible for building and operating low-latency, reliable, and secure foundation for AI agents and assistant experiences at scale. Focuses on multi-turn orchestration, tool calling, model routing, memory, streaming, and safety, integrating with LLM providers and internal evaluation frameworks.

Machine Learning Engineer focused on LLM Evals & Observability for an enterprise AI platform. The role involves designing evaluation datasets, building large-scale evaluation pipelines, creating LLM-powered judges, evaluating new models before launch, and building observability infrastructure for AI agents. The goal is to ensure the reliability and quality of Glean's AI Assistant and Agents.

Founding Forward Deployed Engineer to build next-generation AI products and agentic capabilities for enterprise customers, working directly with C-suite and Glean's R&D teams. Requires 0-to-1 product creation experience and shipping AI-powered solutions in production.

Founding Forward Deployed Engineer to build next-generation AI products and agentic capabilities for enterprise customers, working directly with C-suite and Glean's R&D teams. Requires 0-to-1 product creation experience and shipping AI-powered solutions in production.

Founding Forward Deployed Engineer to build next-generation AI products and agentic capabilities for enterprise customers, working directly with C-suite and Glean's R&D teams. Requires 0-to-1 product creation experience and shipping AI-powered solutions in production.

Machine Learning Engineer focused on building the Enterprise Brain, a suite of proactive AI products that automate enterprise workflows using LLMs, advanced ML, agent orchestration, and ranking techniques. The role involves user understanding, task prediction, inventing LLM workflows, optimizing RL and fine-tuning, leading evaluation and benchmarking, building ML pipelines, and ensuring system performance.

Software Engineer role focused on building and operating the low-latency, reliable, and secure runtime foundation for AI agents and assistant experiences at scale. This includes designing core services for orchestration, tool calling, memory, streaming, and safety, integrating with LLM providers and evaluation frameworks, and ensuring platform robustness and observability.

Software Engineer focused on building AI Infrastructure for Glean's Work AI platform, specifically focusing on LLM serving, routing, orchestration, and agentic systems for infrastructure health monitoring. The role involves designing, building, and improving AI/ML systems and data pipelines.

Software Engineer, Machine Learning role at Glean, focusing on building the world's best search and assistant product for work. Responsibilities include improving search personalization, training ranking models, domain-adapting language models, and combining LLMs with search engines. The role requires experience in ML systems, strong analytical and coding skills, and the ability to ship production-ready models. It is an in-person role in Bangalore.

Machine Learning Engineer focused on improving search quality and building AI agents for Glean's Work AI platform. Responsibilities include inventing new signals for personalization, training ranking models, domain-adapting language models, and combining LLMs with search engines. The role involves shipping production-ready models and working with customers to solve problems.

Tech Lead Manager for Glean's Apps & App Infrastructure, focusing on full-stack development of AI-powered applications and the underlying platform. The role involves technical leadership, team management, and hands-on development of features like AI assistants and agents, with a strong emphasis on enterprise readiness and scalability.

Software Engineer for the Insights team, focusing on building and maintaining the end-to-end stack for Glean's Work AI platform. This includes data pipelines, backend services, and customer-facing experiences that make AI products explainable and measurable. The role involves contributing to NLQ-powered agents on top of the data warehouse, building a user targeting platform, and improving observability for Insights jobs. The engineer will partner with various teams to ensure accuracy and alignment of metrics for usage-based pricing and renewals.

Software Engineer to build and evolve Glean's horizontal AI platform, focusing on SDKs, client libraries, agent tooling, custom context services (Code Search, Code Writer, Memory), and public REST APIs. The role involves designing platform primitives and collaborating on developer authentication and authorization flows, aiming to enable external frameworks and agents to integrate with Glean.

Software Engineer for Data Foundations team responsible for the end-to-end data ingestion and management layer powering Glean's Search, AI Assistant, and Agent products. This involves building and scaling connectors, handling data transformations, and ensuring the quality, freshness, and trustworthiness of data used by AI systems, with a focus on preserving access controls and sensitivity constraints for LLM reasoning.

Senior Technical Program Manager to lead cross-functional initiatives for scaling and optimizing Glean's infrastructure platform, focusing on AI systems, reliability, and cost efficiency. The role involves driving the infrastructure roadmap, partnering with AI/ML teams, and managing programs related to ML pipelines, training infrastructure, and LLM serving.

Software Engineer focused on AI and Security for Glean's Work AI platform, which includes enterprise search, an AI Assistant, and AI agents. The role involves developing greenfield features, architecting data pipelines, AI models, and APIs, with an emphasis on enterprise-grade security and governance.

Glean is seeking recent university graduates for Software Engineer roles (Backend, Product, ML) to build and maintain their Work AI platform, which includes an AI Assistant and AI agents. The role involves owning infrastructure problems, writing design documents, shipping code, and collaborating with the team. Experience building and shipping ML models or solving NLP problems is required.

Solutions Architect for an enterprise Work AI platform, focusing on post-sale customer technical advisory, building prototypes, integrations, and driving expansion of AI assistants and agents. Requires strong software development skills (Python, Java, Go) and hands-on experience with AI applications like RAG, chatbots, and agentic workflows.

Senior/Staff Applied Scientist at Glean, an enterprise Work AI platform. The role focuses on developing and maintaining an A/B experimentation platform, conducting end-to-end evaluations of AI use cases (including summarization, reasoning, tool use, coding), and designing best practices for evaluation problems. The role requires strong statistics/ML skills, Python proficiency, SQL, and experience in B2B SaaS and A/B testing platforms.

Glean is seeking a Tech Lead Manager to lead engineering teams in building and enhancing their Work AI platform, which includes an AI Assistant and AI agents. The role involves driving development, mentoring engineers, collaborating with cross-functional teams, and contributing to the technical vision and roadmap. The company emphasizes AI fluency and requires candidates to have strong technical expertise in distributed systems and leadership skills.

Software Engineer, Platform Security for Glean, a Work AI platform that helps users work smarter with AI. The role focuses on developing and maintaining the security foundation of the platform, including authentication, authorization, secure communication, and data access controls. It involves collaborating with cross-functional teams, staying updated on security threats, conducting code reviews, and responding to incidents.

Glean is building a Work AI platform that uses AI agents to automate work across teams by accessing enterprise data. This role focuses on securing the cloud infrastructure (AWS/Azure) for this platform, including developing security features for authentication, authorization, and audit logging.

The Senior Technical Program Manager, Connectors will own multi-quarter programs for Glean's enterprise SaaS connectors and the platform capabilities that power them. This role involves working with tech leads on system design, scalability, and reliability of the connectors stack, designing the operating model and technical roadmap for scaling connectors, and driving connector reliability through SLOs and operational excellence. The role requires experience in large-scale distributed data pipelines, enterprise identity/security constraints, and AI/ML, data pipelines, and API integrations.

Tech Lead Manager for the Admin Console team at Glean, an AI platform company. This role involves leading a full-stack engineering team to build and manage the admin experience for deploying, governing, and scaling Glean. Responsibilities include technical direction, architecture, partnering with product and design, and evolving the console to manage AI capabilities and enterprise context.

This role is for a Support Escalation Manager at Glean, an AI company focused on a Work AI platform. The manager will lead the resolution of complex technical escalations, acting as a bridge between customers and internal teams (Support, Engineering, Product, QA). Responsibilities include driving investigations, managing customer communication, performing root cause analysis, building cross-functional operating rhythms, analyzing trends, tracking metrics, creating documentation, mentoring support staff, and representing the voice of the customer. The role requires 5-8+ years of experience in technical support or a related customer-facing technical function, strong technical troubleshooting skills, experience with enterprise SaaS products or integrations, cloud environments, and API/authentication issues. While the company is AI-focused and the role interacts with AI products, the core function is customer support escalation management, not direct AI/ML model development or research.

Tech Lead Manager for the Admin Console team at Glean, an AI platform company. This role involves leading a full-stack engineering team to build and manage the admin experience for deploying, governing, and scaling Glean across organizations. Responsibilities include owning architecture, partnering with product and design, and evolving the console to manage AI capabilities and enterprise context.

Software Engineer for Glean's billing and revenue platform, focusing on consumption-based pricing for AI products. The role involves designing and implementing systems for usage metering, pricing logic, credits, and billing dashboards, ensuring accurate billing and margin positivity. It also includes defining guardrails for LLM and agent costs.

Solutions Engineering Manager for Glean's Work AI platform, focusing on leading a team of SEs to provide technical guidance, drive pre-sales engagements, and ensure customer adoption and value realization. The role involves technical discovery, custom demos, use case workshops, and acting as a primary technical advisor to prospects and customers, collaborating with product and engineering to drive customer satisfaction and product enhancements.

Technical Support Engineer for Glean's Work AI platform, focusing on customer implementation, customization, and troubleshooting of their enterprise search and AI assistant product. The role involves proactive and reactive support, onboarding datasources, identifying system health issues, and working with internal teams to improve the product and service. Requires experience in customer solutions engineering or support engineering, SaaS integrations, cloud technologies, and troubleshooting APIs, SSO, and network issues. Basic knowledge of LLMs is a plus.

Lead Site Reliability Engineer for Glean, an AI platform company. This role focuses on ensuring the reliability, availability, and performance of Glean's services and cloud infrastructure. Responsibilities include technical leadership, incident management, automation, performance optimization, and security/compliance collaboration. The role involves managing a team and contributing to the development of scalable cloud operations and SRE practices within a hybrid cloud environment.

Glean is seeking a Senior Technical Program Manager to build and scale the connectors that feed their Work AI platform's Enterprise Graph. This role involves managing multi-quarter programs for high-impact connectors, focusing on system design, scalability, reliability, and operational excellence for data pipelines and enterprise security. The TPM will design the technical roadmap for scaling connectors and drive connector reliability through SLOs and telemetry.

Lead engineer for Glean's billing and revenue platform, responsible for the systems that power consumption-based pricing for AI products. This role involves technical leadership, end-to-end ownership of billing stack components, and collaboration with Product, Finance, and Go-To-Market teams to ensure accurate metering, transparent billing, and margin positivity for AI features. The role also includes designing abstractions for product teams to integrate with billing and defining guardrails for LLM and agent costs.

Technical Support Engineer for Glean's Work AI platform, focusing on customer implementation, customization, and both proactive and reactive support. The role involves troubleshooting technical issues, assisting with data source onboarding, educating customers, and identifying system health issues. Requires experience in customer solutions engineering, support engineering, or professional services, with hands-on experience in search/knowledge technologies, SaaS integrations, cloud platforms, REST APIs, and SSO/SAML/OAuth. Basic knowledge of LLMs is a plus.

Glean is building a Work AI platform that uses AI agents and an Enterprise Graph to help users find and act on knowledge. This role focuses on securing the cloud infrastructure (AWS/Azure) supporting this platform, with responsibilities including architecting secure solutions, identifying vulnerabilities, implementing cloud-native security tools, analyzing logs, and developing security features for authentication, authorization, and rate limiting.

Glean is building a Work AI platform that includes enterprise search, an AI Assistant, and AI agents. This role is for an Infrastructure Engineer to build and evolve the platform's highly available, performant, secure, and cost-effective infrastructure across all clouds. The role involves delivering complex components with automation, uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. The company emphasizes AI fluency and uses AI extensively in its products.

Software Engineer focused on developer productivity, optimizing build systems, CI/CD pipelines, and developer tooling, with a specific emphasis on enabling engineers to leverage AI-powered coding and productivity tools and building agentic tooling for development workflows.

Senior Technical Program Manager to drive large-scale, cross-functional initiatives for Glean's Work AI platform, focusing on product and infrastructure. Responsibilities include program planning, execution, launch, and iteration, with a focus on scaling infrastructure, coordinating feature launches, and improving execution efficiency. The role requires strong technical acumen, experience in enterprise B2B environments, and familiarity with AI technologies.

This role is for a Technical Support Engineer at Glean, an AI-first company focused on its Work AI platform. The role involves providing technical support, implementation, customization, and troubleshooting for Glean customers, ensuring a high level of customer experience. It requires strong problem-solving skills, experience with SaaS integrations, cloud technologies, and REST APIs, with a basic understanding of LLMs being a plus.

Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system that makes all the relevant enterprise knowledge readily available to employees in all contexts of their work. The role provides ample opportunities to work on various aspects of building a modern cloud-native application stack using the latest best practices - examples of some technical challenges you can work on are building a scalable, reliable distributed system and underlying storage, a unified application framework and data model that makes it easy to index diverse sources of information, end-to-end aspects of security - application layer, platform layer as well as IT security, laser focus on making the experience feel instant, while at the same time balancing the system cost implications, and tooling for comprehensive monitoring and deployment of the system in multiple cloud environments.

Glean is seeking a Quality Assurance Lead to develop and drive their test automation charter. This role involves building frameworks, tools, and infrastructure for scalable testing across their AI-powered Work AI platform. The lead will focus on reliability, maintainability, and speed of testing, mentor QA engineers, and partner with development teams on shift-left testing practices. Experience with Python or Java, modern testing tools, CI/CD, and cloud platforms is required.

This role is for a Designated Technical Support Engineer on the Glean Work AI platform. The role focuses on providing proactive and reactive support to designated enterprise customers, ensuring a high level of customer experience. Responsibilities include troubleshooting, configuration assistance, creating knowledge articles, identifying system health issues, and coordinating with internal teams and customers to drive product and service improvements. While the company builds AI products, this specific role is customer-facing technical support, not direct AI/ML model development or deployment.

This role is for a Designated Technical Support Engineer for Glean, an enterprise Work AI platform. The role focuses on providing proactive and reactive technical support to a designated set of customers, ensuring a high level of customer experience. Responsibilities include troubleshooting, configuration assistance, creating knowledge articles, and identifying system health issues. While the company builds AI products, this specific role is customer-facing technical support, not direct AI/ML model development or engineering.

This role is for a Designated Technical Support Engineer for Glean, an enterprise Work AI platform. The role focuses on providing proactive and reactive technical support to a designated set of customers, ensuring a high level of customer experience. Responsibilities include troubleshooting, configuration assistance, creating knowledge articles, and identifying system health issues. While the company builds AI products, this specific role is customer-facing technical support, not direct AI/ML model development or engineering.

Software Engineer, Platform Security for Glean, a Work AI platform that helps users work smarter with AI. The role focuses on developing and maintaining the security foundation of the platform, including authentication, authorization, secure communication, and data access controls. It involves collaborating with cross-functional teams, staying updated on security threats, conducting code reviews, and implementing automated security testing.

Software Engineer, Product Backend at Glean, a Work AI platform company. The role involves owning and launching user-facing features, architecting REST APIs, writing scalable backend code, and mentoring junior engineers. The company focuses on enterprise search, AI assistants, and AI agents powered by its Enterprise Graph and Personal Knowledge Graph.

Technical Support Engineer for Glean's Work AI platform, focusing on customer support, technical troubleshooting, and ensuring successful outcomes for customer inquiries and issues related to SaaS integrations and product features.

Glean is seeking a Quality Assurance Engineer to ensure the quality of their web application through manual and automation testing. The role involves creating and executing test plans, performing initial root cause analysis (RCA) on bugs, reporting issues, and contributing to the automation framework. The ideal candidate has 2+ years of experience in web application testing, familiarity with tools like Jira and Chrome Developer tools, and programming experience in Python or Java.