# Tech Lead Manager, AI Evaluations at Glean Work

Glean Work is hiring a Tech Lead Manager, AI Evaluations in Mountain View, United States. It pays $250k-$350k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/a2b0183d-42a2-4928-9104-0235bcd9aedb?utm_medium=ai-agent).

AI Level 4, AI centrality 93 out of 100. Mountain View, CA.

## Details

- Company: [Glean Work](https://jobsbylevel.com/companies/glean-work)
- AI level: AI Level 4 (score 93 out of 100)
- Location: Mountain View, CA
- Salary: $250k-$350k
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/a2b0183d-42a2-4928-9104-0235bcd9aedb?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/tech-lead-manager-ai-evaluations-at-glean-work-c5dfd4

## Description

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: The bottleneck in building reliable and useful AI systems isn’t writing code anymore. It’s knowing what good looks like, applying that knowledge and experience from production usage into building rigorous evals, and using those evals to guide continuous product self-improvement loops. As the Tech Lead Manager of AI Evaluations, you will lead a team of applied AI scientists and engineers and build the evaluation strategy and platform that helps Glean ship delightful and reliable AI experiences. You will make evaluation a continuous part of how we develop and operate models, harnesses, assistants, agents, and other AI products at Glean. You’ll guide the team in translating emerging AI/ML research into reliable evaluation systems, build scalable, efficient and reusable eval infrastructure and trusted quality signals, and work across R&D, product, and marketing teams to turn evaluation results into better products and customer outcomes. You will: Own the AI evaluation eng roadmap and technical direction end to end: from defining what success means and building the evaluation platform to integrating results into release and product decisions. Build scalable, reusable evaluation infrastructure for datasets, experiments, graders, trace capture and replay, result analysis, and dashboards. Make evaluations reproducible, versioned, cost-aware, and easy for product and engineering teams to use. Create and maintain representative evaluation sets from expert-curated examples, appropriately governed production signals, synthetic cases, and historical failures. Cover common workflows, edge cases, long-tail requests, adversarial inputs, and important user and domain slices; protect held-out acceptance sets from tuning leakage. Define a balanced quality measurement system for AI products, including correctness, groundedness, retrieval and context relevance, completeness, instruction following,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/tech-lead-manager-ai-evaluations-at-glean-work-c5dfd4

Source: https://jobsbylevel.com/jobs/tech-lead-manager-ai-evaluations-at-glean-work-c5dfd4

## Cite this page

Level. https://jobsbylevel.com/jobs/tech-lead-manager-ai-evaluations-at-glean-work-c5dfd4.

Get job alerts: https://jobsbylevel.com/newsletter