Xiaohang Quan

CEO

Boston, Massachusetts, United States16 yrs 6 mos experience

Highly StableAI Enabled

Key Highlights

Led AI-driven messaging product at Netflix.
Achieved $2M+ savings through ML automation at Wayfair.
Core member of Higgs boson discovery team.

Stackforce AI infers this person is a Product Leader in Media and E-commerce with a strong focus on AI and Machine Learning.

Contact

Skills

Core Skills

Product ManagementMachine LearningMarketingCustomer RetentionStrategyData AnalysisResearch

Other Skills

PersonalizationLeadershipAnalyticsComputer VisionNatural Language Processing (NLP)PhysicsAlgorithmsDeep LearningRecommender SystemsArtificial Intelligence (AI)StatisticsPythonMonte Carlo SimulationC++Particle Physics

About

Experienced product leader with a unique blend of background across product, ML, marketing, and strategy / consulting. Currently, I lead messaging product at Netflix that powers billions of notifications that Netflix sends to consumers every week. My teams are responsible for building a scalable messaging platform, personalization and ML products, and channel expansion. We're a core part of driving critical business goals such as streaming, Games, Live, etc. Previously, I led ML/AI product teams at Wayfair. My teams were responsible for computer vision / language products to enable fast and comprehensive catalog understanding, product matching, and identifying pricing / selection gaps at scale. At Wayfair, I also led retention marketing channels (Email, Push, SMS) for Wayfair North America. I was responsible for scaling a ~$2B business, building cutting-edge ML-driven recommendation / send decision capabilities, and launching new channels / growth areas. At Bain, I led projects focused on tech R&D, ML capabilities, strategy, and customer retention. I obtained my PhD degree in high energy physics from Princeton, and was a core member of the Higgs boson discovery team at the LHC.

Experience

16 yrs 6 mos

Total Experience

4 yrs 5 mos

Average Tenure

3 yrs 1 mo

Current Experience

Netflix

2 roles

Head of Product, Messaging

Promoted

Jun 2024 – Present · 1 yr 11 mos

Lead overall messaging product space (~100 ppl cross-functional team) to drive significant member growth, retention, and monetization, including
Build industry-leading AI/LLM based personalization systems that power billions of member interactions every week across all of our channels, both on-platform and off-platform
Build scalable and extensible platform and capabilities for message creation and delivery to amplify and accelerate Netflix's core + emerging priorities, across Streaming, Games, Live content, Licensing, Ads, etc.
Expansion to new on- and off-service channels (e.g., WhatsApp, RCS, Line) and consumer touchpoints to accelerate Netflix's global growth ambitions
Reduce OpEx by ~$30M annually via more efficient channel usage and better guardrails
Hire and grow a team of high performing PMs
Advise C-suite and executives on broader product strategy beyond direct scope; initiate angle-changing growth opportunities for the wider org.

Machine LearningProduct ManagementPersonalizationLeadershipStrategy

Product Lead, Messaging Algorithms

Apr 2023 – Jun 2024 · 1 yr 2 mos

Build cutting-edge AI/LLM-based capabilities to create an ultra-personalized member experience and transform Netflix messaging into a platform that can intelligently optimize and balance a variety of Netflix growth goals - such as streaming, gaming, ads, etc. to drive long-term value.
Established 3-year vision and roadmap for transforming the tech stack into an AI-first platform that powers each step in the end-to-end process of Netflix's communication with consumers
Productized personalization capabilities that drove significant impact on member engagement and retention
Developed a new holistic measurement framework and improved north star metric to align short-term metrics to long-term outcomes, balancing multiple objectives (e.g., engagement, retention, monetization, awareness of new verticals) while ensuring opt-out health and member satisfaction
Increased experimentation velocity by 5x+

Machine LearningProduct ManagementPersonalizationAnalytics

Wayfair

2 roles

Associate Director, AI/ML Product Management

Dec 2021 – Mar 2023 · 1 yr 3 mos

Lead four suites of machine learning products with a cross-functional team across PM, Data Science, Engineering, and Analytics.
Built and improved machine learning products, leveraging computer vision, natural language processing and other techniques to understand products and product relationships within and outside of Wayfair.
Improved customer and supplier experience by developing a long-term product vision, setting priorities/roadmap and driving execution for key business use cases.
Achieved $2M+ of annual OpEx savings within the first six months of being in the new role by automating manual workstreams.
Identified and prioritized new expansion areas for existing and adjacent capabilities through regular alignment with senior business executives.

Machine LearningProduct ManagementComputer VisionNatural Language Processing (NLP)

Head of Customer Communications, Wayfair US and CA

Oct 2018 – Dec 2021 · 3 yrs 2 mos

Managed 3 marketing channels (including the largest at Wayfair). Drove business growth via developing proprietary ML-driven personalization capabilities and launching A/B tests to optimize all aspects of the channels.
Set the vision, developed roadmaps and led execution for email, push notifications, and SMS channels, achieving 40%+ YoY growth on a $2B P&L while reducing customer churn by 20%+ YoY.
Achieved a 10% lift in revenue per customer through new and improved recommender systems, a 15% lift in click rate through send decision personalization, and a 50%+ lift in click rate through natural language processing-based content identification.
Set priorities and aligned resources to hit growth targets across a ~70+ member cross-functional team.
Built a high-performing direct team from 6 to 20 through recruiting / coaching, achieving a 100% upward NPS, a high retention rate, and a track record for promoting team members.
Established the vision, built and launched a net new SMS marketing channel from the ground up by rallying and collaborating across different functions/business units and completing it within less than three quarters.

Machine LearningMarketingCustomer Retention

Bain & company

Engagement Manager

Oct 2013 – Oct 2018 · 5 yrs · Los Angeles, California, United States

Served as a consultant and manager, leading cases in strategy, R&D, and data/ML capability.
Designed methodology to forecast CLV and diagnosed key drivers of attribution / retention via predictive modeling at a $20B Insurance Client.
Enabled strategic vision setting and execution by overhauling a $2B Analytics Client product management organizational structure, operating model, and product hierarchy/R&D roadmap.
Developed a next-decade roadmap for a $60B Big Tech client based on industry/competitive landscape and strategic positioning.
Achieved ~$250M in cost savings for a $20B Biotech Client by identifying opportunities to improve the end-to-end R&D value chain.

StrategyData AnalysisMachine Learning

Cern

Research

Sep 2009 – Sep 2013 · 4 yrs · Geneva, Switzerland

Core member of the Higgs particle search group
Enabled a Nobel Prize-winning discovery in 2012 by designing and implementing 99%+ efficiency trigger algorithms in the two-photon decay channel.
Led decay width, mass precision measurements, and alternative Higgs model searches using neural net and tree-based approaches.
Collaborated on 200+ papers published in peer-reviewed journals
Expert-on-call for the CMS electromagnetic calorimeter DAQ (data acquisition) system

PhysicsData AnalysisResearch