Glean currently has 41 active AI-related job listings, with a significant focus on roles within the "agents" stage, accounting for 78% of their AI hiring. The majority of these positions are within Engineering and Product functions. Frequent technical tags include agent_orchestration, llm_observability, and tool_use, suggesting a direction towards sophisticated AI agent development and management. Over the last 30 days, Glean has added 7 new AI roles, representing a 75% increase compared to the preceding 30-day period.
Currently tracking 35 active AI roles, up 189% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$300k (avg $210k).
Glean currently has 45 active AI-related roles in our index. The most common open titles are: Founding Forward Deployed Engineer (3), AI Outcomes Manager, Central (2), AI Outcomes Manager, East (2), AI Outcomes Manager, West (2), Product Manager, AI Quality (2). Most positions are in Engineering and Product.
Glean's active AI hiring is concentrated in: agents (76%), application (9%), evaluation (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Glean is hiring AI talent in: United States (36 roles), India (5 roles), United Kingdom (1 role).
Job postings at Glean most frequently reference: agent orchestration, llm observability, model serving, tool use, evals.
In the past 30 days, Glean has posted 10 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, AI Assistant & Autonomous AI Agents 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. | AgentEval Gate | 9 |
| Tech Lead Manager, Agentic Runtime 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, safety, and integrating with LLM providers and evaluation frameworks. |
| AgentServe |
| 8 |
| Tech Lead Manager, Agentic Runtime 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. | AgentServe | 8 |
| Founding Forward Deployed Engineer 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. | Agent | 8 |
| Founding Forward Deployed Engineer 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. | Agent | 8 |
| Founding Forward Deployed Engineer 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. | Agent | 8 |
| Machine Learning Engineer, Enterprise Brain 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. | AgentPost-train | 8 |
| Software Engineer, Agentic Runtime 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. | AgentServe | 8 |
| Software Engineer, Machine Learning 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. | AgentServe | 8 |
| Machine Learning Engineer, Search Quality 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. | AgentServe | 8 |
| Software Engineer, Insights 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. | AgentData | 7 |
| Software Engineer, Context Platform 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. | AgentServe | 7 |
| Software Engineer, AI & Security 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. | Agent | 7 |
| Solutions Architect (PST/EST Customer hours) 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. | Agent | 7 |
| Tech Lead Manager 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. | Agent | 7 |