Jason Lee

Spotify

• Own product strategy and roadmap for personalization features reaching 200M+ monthly active users across 15 markets • Launched algorithmic playlist feature (Discover Weekly 2.0) driving 15% increase in average daily listening time and 8% improvement in 30-day retention • Manage cross-functional team of 3 engineering squads (12 engineers, 2 designers, 1 data scientist, 1 ML engineer) • Led experimentation program running 20+ A/B tests per quarter with rigorous statistical methodology (Bayesian framework, 95% confidence) • Established product analytics framework using Amplitude, reducing time-to-insight from 3 days to 2 hours for key metrics

LinkedIn

• Shipped notification optimization system reducing unwanted notifications by 35% while maintaining engagement and DAU metrics • Grew LinkedIn Learning recommendation feature adoption from 5% to 28% through 4 iterative UX improvements over 8 months • Defined success metrics, OKRs, and product KPIs for team of 8 engineers and 2 designers across 2 quarterly planning cycles • Conducted 50+ user interviews and moderated usability tests informing quarterly roadmap prioritization and feature scoping • Partnered with data science team to build ML-powered content ranking algorithm improving click-through rates by 22%

Google

• Managed Google Maps local business features across Android and iOS platforms reaching 1B+ monthly users • Led launch of enhanced business hours display, reducing user-reported errors by 40% and generating 500K+ data corrections • Wrote PRDs, conducted competitive analysis, and presented product proposals to VP-level stakeholders • Completed Google's APM program (3% acceptance rate), rotating across Search and Maps product teams

Stanford University

Focus on Human-Computer Interaction. Research assistant in Stanford HCI Group. Published paper on recommendation system UX at CHI 2018.

UC San Diego

Specialization in Design & Interaction. Magna Cum Laude. Phi Beta Kappa.