Manager, AI Quality Evals
Job Location:
Job Location:
Mountain View, CA - USA
Yearly Salary:
$ 195000 - 240000
Yearly Salary:
Posted on:
22 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys 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 Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll 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:
We are hiring a Manager AI Quality Evals to build and lead a small senior team responsible for the human evaluation system behind Gleans AI product quality. This role will own the operational backbone for AI output evaluation: labeling operations quality feedback analysis and triage evalset quality rubric design and recurring quality reporting.
This is a high-visibility cross-functional leadership role at the center of product quality model evaluation and release readiness. You will partner closely with Engineering Product QA and the eval infrastructure team to ensure every dataset judge and rubric we rely on is realistic validated and tied to measurable quality lift.
You will:
- Lead Gleans end-to-end operational evaluation motion across human labeling benchmarking and product-quality analysis.
- Build and manage a high-leverage team focused on answer quality evals and recurring labeling operations.
- Establish operating rhythms for weekly triage and labeling eval health reviews and quality readouts.
- Maintain repeatable benchmarks and frontier-model baselines.
- Evaluate performance across priority workflows and quality dimensions such as task success response quality MCP and tool use actions reliability and end-to-end Cowork workflow execution.
- Partner with the eval team to curate new evalsets generate labeled datasets support model training needs and improve LLM-as-a-judge raters.
- Own labeling guidelines human calibration and the ongoing effort to debias LLM judges against human labels.
About you:
- 7 years of experience in evaluation operations data labeling quality operations ML data operations technical program management or a related function leading ambiguous cross-functional work.
- Experience leading or mentoring high-performing ICs in a small fast-moving team environment.
- Deep familiarity with AI product evaluation human labeling systems benchmarking rubric design and quality measurement.
- Experience with LLM-as-a-judge systems calibration or model-eval tooling.
- Experience supporting quality intelligence or benchmark programs for AI products.
- Strong analytical judgment; you can separate signal from noise identify failure patterns and turn ambiguous quality issues into clear actions.
- Comfortable operating at the intersection of Product Engineering Data Science and infrastructure teams and able to lead through influence rather than authority.
- Strong communication and operating rigor; you can run repeatable cadences align stakeholders and present crisp quality insights to leadership.
- High bar for realism and quality; you care not just about eval volume but about measurable lift in product quality and ROI.
- Experience with vendor-managed data workflows dataset acceptance or data quality gates.
Location:
- This role is hybrid (4 days a week in our Mountain View office)
Compensation & Benefits:
The standard base salary range for this position is $195000 - $240000 annually. Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.
We offer a comprehensive benefits package including competitive compensation Medical Vision and Dental coverage generous time-off policy and the opportunity to contribute to your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
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AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.
Required Experience:
Manager
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
