Glean
Enterprise · Enterprise search
- Website
- gleanerheights.com
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.
Enterprise · Enterprise search
Currently tracking 35 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $120k–$300k (avg $210k).
Glean currently has 40 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 (75%), evaluation (10%), application (8%). 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 (31 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 5 new AI-related roles. That is a -29% change versus the prior 30 days (7 → 5).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Machine Learning Engineer, LLM Evals & Observability 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. | Eval GateAgent | 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 |
| Machine Learning Engineer, LLM Evals & Observability 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. | Eval GateAgent | 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, AI Infrastructure 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. | ServeAgent | 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 |
| Product Manager, Enterprise Intelligence Product Manager for Enterprise Intelligence at Glean, a Work AI platform. The role focuses on defining and building AI-powered intelligence products that leverage the company's enterprise context layer and graph to provide proactive, actionable insights and workflows for leaders and teams. This involves translating broad company vision into specific product bets, understanding customer needs, partnering with engineering and design, and driving execution for a new product category. | Agent | 7 |
| Product Manager, Core Experience Product Manager for Glean's Core Experience, focusing on the user-facing surfaces of the Work AI platform. This role involves defining strategy and roadmap for areas like Homepage, Mobile, Desktop, and Browser Extension, ensuring a seamless, consumer-grade user journey across all touchpoints. The PM will drive growth, engagement, and experimentation, working closely with engineering, design, and data teams to translate vision into shippable experiences and shape the product team itself. | Ship | 7 |
| Product Manager, Core Experience Product Manager for Glean's Core Experience, focusing on the user-facing surfaces of the Work AI platform. This role involves defining strategy and roadmap for areas like Homepage, Mobile, Desktop, and Browser Extension, ensuring a seamless, consumer-grade user journey across all touchpoints. The PM will drive growth, engagement, and experimentation, working closely with engineering, design, and data teams to translate vision into shippable experiences and shape the product team itself. | Ship | 7 |
| Product Manager, Enterprise Intelligence Product Manager for Enterprise Intelligence at Glean, a Work AI platform. The role focuses on defining and building AI-powered intelligence products that leverage the company's enterprise context layer and graph to provide proactive, actionable insights and workflows for leaders and teams. This involves translating broad company vision into specific product bets, understanding customer needs, partnering with engineering and design, and driving execution for a new product category. | Agent | 7 |
| Product Manager, AI Quality 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. This role involves forecasting LLM usage, costs, and capacity, and driving customer adoption of new LLMs and AI capabilities. | Eval GateAgent | 7 |
| AI Outcomes Manager, LATAM 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. | Agent | 7 |
| AI Outcomes Manager 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. | Agent | 7 |
| AI Outcomes Manager, Sweden 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. | Agent | 7 |
| AI Outcomes Manager, East 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. | Agent | 7 |
| AI Outcomes Manager, East 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. | Agent | 7 |
| AI Outcomes Manager, Central 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. | Agent | 7 |
| AI Outcomes Manager, Central 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. | Agent | 7 |
| AI Outcomes Manager, West 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. | Agent | 7 |
| AI Outcomes Manager, West 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. | Agent | 7 |
| 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, Data Foundations 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. | DataAgent | 7 |
| AI Outcomes Manager, ANZ 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. | Agent | 7 |
| AI Outcomes Manager, London 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. | Agent | 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 |
| Product Manager, AI Quality 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. | Eval Gate | 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 |