Search across all your company's apps to find exactly what you need and discover the things you should know.
2 days ago
🏢 In-office - Bay Area
Search across all your company's apps to find exactly what you need and discover the things you should know.
• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers. • Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps. • Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user churn & retention. • Address one or more business domains including accelerating Glean’s adoption, expansion, usage intensity and building data assets to measure efficacy of generative AI products.
• You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field. • You have 4+ years of industry experience (3+ for Masters degree holders, 2+ for PhD degree holders). • You are concise and precise in written and verbal communication. Technical documentation is your strong suit. • You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights. • You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT). • You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making. • You are proficient in Python.
• Competitive compensation • Medical, Vision and Dental coverage • Flexible work environment and time-off policy • 401k • Company events • A home office improvement stipend when you first join • Annual education stipend • Wellness stipend • Healthy lunches and dinners provided daily
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