Senior/Staff Applied Scientist

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.Glean was founded to address challenges employees face in finding and understanding information at work. It aims to provide an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into a leading Work AI platform, combining enterprise‑grade search, an AI assistant, and powerful application- and agent-building capabilities to redefine how employees work.About the RoleGlean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups. This is an applied science role based in our Palo Alto headquarters. It covers a subset of:ResponsibilitiesDefine KPIs, create data foundations and build visualizations to measure the efficacy of Glean’s document indexing, retrieval, ranking infrastructure, which powers its search and LLM-powered products, as well as content personalization such as ranking agents in an agent library.Conduct rigorous empirical analyses using advanced techniques and a deep understanding of our ranking stack to identify and prototype improvements to ranking. ML ENG teams would iterate and deploy these techniques into production.Collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to support rigorous decision making across product domains.Develop and maintain our A/B experimentation platform based on stakeholder feedback.Write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management and design teams.End-to-end evaluation of hero use cases like document/URL uploads, including evaluation set generation and interpretation methods.Break down evaluations into granular tasks such as content summarization/analysis/generation, multi-step reasoning, tool selection/use, coding and system design.Design, development and ownership of best practices, tools, and processes across evaluation problems (e.g., query intent classification, handling LLM stochasticity, benchmarking).About you5+ years of experience as a Masters degree holder, or 3+ years as a PhD holder in Statistics, Mathematics, Computer Science, or another quantitative field.Strong foundation in statistics and/or machine learning with a pragmatic approach that prioritizes business needs.Proficient in Python and able to maintain an internal, source-controlled library used by many colleagues.Concise and precise in written and verbal communication; strong technical documentation skills.Proficient in SQL and the modern data stack (e.g., source-controlled dbt pipelines for ETL/ELT).Skilled at defining product KPIs/guardrail metrics, dashboarding, and analyzing raw data to derive strategic insights.Experience in B2B SaaS and in ranking, developing, and maintaining A/B experimentation platforms and/or ML measurement problems.Passionate about using AI to improve productivity for data teams and non-data professionals.LocationThis role is hybrid (3-4 days a week in one of our SF Bay Area offices).The standard base salary range for this position is $175,000 - $230,000 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 Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to a 401k plan. You’ll also receive a home office improvement stipend, as well as annual education and wellness stipends. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.We are a diverse team and are committed to an inclusive and diverse workplace. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #J-18808-Ljbffr

Created: 2025-09-17