Glean

Glean is seeking senior Machine Learning Engineers to build the next generation of intelligent enterprise AI assistants and autonomous AI agents. The role involves working on agentic frameworks, LLM orchestration, inference optimization, domain adaptation, reinforcement learning, and evaluation frameworks for complex enterprise tasks. The engineer will lead development, drive technical strategy, and mentor others, focusing on shipping agentic capabilities on an open, extensible stack.

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 member of a forward-deployed product team responsible for discovering and building the next generation of AI product surfaces for enterprise customers. This role involves identifying unmet business needs at strategic clients, designing and shipping new AI-powered products in collaboration with engineers, and advising C-suite executives. The goal is to create innovative AI solutions that will be scaled across all Glean customers.

Founding member of a forward-deployed product team responsible for discovering and building the next generation of AI product surfaces for enterprise customers. This role involves identifying unmet business needs at strategic clients, designing and shipping new AI-powered products in collaboration with engineers, and advising C-suite executives. The goal is to create innovative AI solutions that will be scaled across all Glean customers.

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 member of a forward-deployed product team responsible for discovering and building the next generation of AI product surfaces for enterprise customers. This role involves identifying unmet business needs at strategic clients, designing and shipping new AI-powered products in collaboration with engineers, and advising C-suite executives. The goal is to create innovative AI solutions that will be scaled across all Glean customers.

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.

Glean is seeking an experienced design leader to define the future of their AI Products suite, transforming how businesses leverage AI. The role involves leading the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, their enterprise intelligence platform, and 0->1 AI-native products. This requires deep expertise in LLM system architecture and strong opinions about exceptional enterprise AI user experiences. The lead will translate LLM complexity into intuitive UX, create AI-powered research and creation experiences, drive 0->1 product innovation, partner with product and engineering leaders, and guide team excellence.

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.

The AI Outcomes Manager will partner with executives and end-users to identify high-impact use cases, translate business needs into AI solutions, and design/build AI agents to drive adoption and measurable business outcomes on Glean's Work AI platform. This role requires strong prompting skills, understanding of LLM capabilities, and a consultative, customer-facing approach.

This role focuses on partnering with customers to identify and implement high-impact AI use cases using Glean's Work AI platform, specifically designing and building AI agents to automate business processes and drive adoption. The role requires a blend of business acumen, product sense, and prompting skills, with a focus on delivering measurable business outcomes.

Glean is seeking an AI Outcomes Manager to partner with executives and end-users to identify high-impact use cases, design and build AI agents, and drive adoption of their Work AI platform, translating business needs into measurable outcomes.

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.

This role focuses on partnering with customers to identify, design, and implement AI use cases using Glean's Work AI platform, specifically focusing on building and deploying AI agents to achieve measurable business outcomes. The role requires a blend of business acumen, product sense, and prompting skills to guide customers in transforming into AI-native enterprises.

The AI Outcomes Manager will partner with executives and end-users to identify high-impact use cases for Glean's Work AI platform, translate business needs into AI solutions, and design/build AI agents to drive adoption and measurable business outcomes. This role requires a blend of business acumen, product sense, and prompting skills, with a focus on customer-facing consultation and driving tangible results.

This role focuses on partnering with customers to identify, design, and implement AI use cases using Glean's Work AI platform, specifically focusing on building and deploying AI agents to achieve measurable business outcomes. The role requires a blend of business acumen, product sense, and prompting skills to translate business needs into practical AI solutions and drive adoption.

This role focuses on partnering with customers to identify and implement high-impact AI use cases using Glean's Work AI platform, specifically designing and building AI agents to automate business processes and drive adoption. The role requires a blend of business acumen, product sense, and prompting skills, with hands-on experience with modern AI platforms and a consultative, customer-facing approach.

The AI Outcomes Manager will partner with executives and end-users to identify high-impact use cases, translate business needs into AI solutions, and design/build AI agents to drive adoption and measurable business outcomes on the Glean Work AI platform. This role requires a blend of business acumen, product sense, and prompting skills, with a focus on customer-facing consultative work.

This role focuses on partnering with executives and end-users to identify and implement high-impact AI use cases using Glean's Work AI platform. The manager will translate business needs into AI solutions, design and build AI agents with customers, and drive adoption of the platform to achieve measurable business outcomes. The role requires a blend of business acumen, product sense, and prompting skills, with hands-on experience with modern AI platforms.

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.

Seeking a Sr. Technical Program Manager to lead complex, cross-functional initiatives for Glean's Work AI platform, focusing on the evolution, scaling, and customer value delivery of AI products including Search, AI Assistant, and AI agents. This role requires a deep technical background in AI/ML systems, LLMs, and agents, with a focus on translating complex capabilities into practical product impact and driving end-to-end product development programs from ideation to launch.

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.

Glean is seeking an AI Outcomes Manager to partner with executives and end-users to identify high-impact use cases and transform them into measurable business outcomes using Glean's Work AI platform. The role involves advising customers on their AI roadmap, translating business needs into AI solutions, designing and building AI agents, and driving platform adoption. This is a customer-facing product role focused on enabling enterprises to leverage AI agents for business impact.

Product Designer for an AI platform focused on enterprise search, AI assistants, and AI agents. The role involves designing intuitive and intelligent AI-native experiences, collaborating with PMs, engineers, and researchers, and shaping product strategy for AI-powered features. Requires experience designing AI or LLM-based products and understanding of LLM capabilities and UX challenges.

Glean is seeking an AI Outcomes Manager to partner with executives and end-users to identify high-impact use cases and transform them into measurable business outcomes using Glean's Work AI platform. The role involves advising customers on their AI roadmap, translating business needs into AI solutions, designing and building AI agents with customers, and driving adoption of the Glean platform.

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.

Lead Software Engineer for Glean's Work AI platform, focusing on developing and launching new user-facing features that incorporate AI. This role involves full feature ownership from ideation to launch, architecting APIs, writing robust backend code, and mentoring junior engineers. The company emphasizes AI fluency and building agentic capabilities on a secure, open platform.

This role focuses on partnering with enterprise customers to identify, design, and implement AI-driven business outcomes using Glean's Work AI platform. The manager will translate business needs into AI solutions, design and build AI agents with customers, and drive adoption to achieve measurable business impact. The role requires strong prompting skills, understanding of LLM capabilities, and a consultative, customer-facing approach.

Product Manager for Glean Model Hub, responsible for evaluating LLM models, defining the roadmap for Glean's LLM portfolio, managing provider relationships, and setting product strategy for customer LLM experimentation. The role involves owning LLM usage projections, cost, and capacity planning, while driving customer enablement and adoption of LLM-native capabilities. The company is an AI platform for enterprise search, AI assistants, and AI agents.

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.