Analyze large-scale, aggregated telemetry data to understand how AI usage patterns are evolving across roles, teams, and organizations
Design and analyze surveys to capture attitudes, behaviors, and outcomes related to AI adoption and work transformation
Analyze experiments, pilots, and joint research initiatives in partnership with Work AI Institute founding members and external collaborators
Translate complex data into clear, compelling insights that resonate with executive audiences
Develop insight decks, research briefs, and narratives that synthesize findings across telemetry, surveys, and experiments and position Glean as a leading authority in understanding how AI is transforming work.
Build data-driven QBR materials and executive-ready research outputs to support strategic customer and partner conversations
Partner with Data Science, Product, and Engineering to surface research-backed implications for roadmap and design decisions
Collaborate with Sales, Customer Success, and Marketing to ensure research insights are leveraged effectively in the field
Support the Work AI Institute’s thought leadership agenda, including reports, talks, and external publications
Ensure methodological rigor, responsible data use, and clear documentation across all research efforts
Establish repeatable research workflows for ongoing telemetry analysis, surveys, and experiments
Stay current on industry research related to AI, work, organizational behavior, and productivity

Requirements

Strong experience analyzing large, aggregated datasets (telemetry, behavioral, or product usage data)
Proven ability to design, analyze, and interpret survey research
Experience synthesizing quantitative and qualitative findings into executive-level insights
Ability to build polished, data-driven decks and narratives for senior leaders and external audiences
Comfort working cross-functionally with product, engineering, and go-to-market teams
Excellent written and verbal communication skills
Background in organizational psychology, behavioral science, HCI, economics, or a related field
Experience conducting experiments or quasi-experimental research in applied settings
Familiarity with AI systems, LLMs, or AI-enabled workflows in enterprise contexts
Experience contributing to external research reports, white papers, or thought leadership
Comfort working with SQL, Python, R, or similar tools for analysis and visualization

Benefits

Variable compensation
Equity
Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysissurvey designquantitative analysisqualitative analysisexperimental researchtelemetry analysisdata visualizationSQLPythonR

Soft Skills

communication skillscollaborationstrategic thinkinginsight synthesismethodological rigorcross-functional teamworkexecutive presentationwritten communicationverbal communicationthought leadership