Alan Si

Early PM hire, helped scale the cross-functional Growth team and oversaw MAU growth from 10M to 20M+. Led efforts across acquisition, activation, retention, & TAM expansion (new use cases) — DRI for monetization efforts, increased revenue from paid subscriptions (c.ai+) to over $X0M ARR

Led multiple cross-functional teams in YouTube’s Emerging Experiences & Community (EMCO) product area — worked on consumer experience, content quality, discovery, ranking, & safety for YouTube’s emerging content formats

2nd PM hired, led teams working on growth, core product, and content. Helped grow The Athletic from 500k subscribers to over 1.2M subscribers. Acquired by the New York Times for $550M.

Led product analytics for the Guest pillar (Growth & Core Product) of Airbnb's new Experiences business

Re-accelerated User growth (2x MAU to >1B in less than 2 years) by driving product changes through novel social network analysis, product analytics, experimentation (incl. network effects), machine learning, and advanced statistical modeling. Led overall social network analytics across the Instagram social graph and designed the underlying algorithms behind Instagram’s User recommender systems, business recommendation engines, and interest ranking.

As a member of Facebook’s core Applied Machine Learning (AML) team, worked on applied research for next generation artificial intelligence (AI) and applications for state-of-the art machine learning: bots/assistants, computer vision, deep learning, facial recognition, natural language processing (NLP), video transcription, translation etc. Led data science work on consumer hardware devices from Building 8, automatic speech recognition (ASR), language models, text-to-speech (TTS), voice interfaces, and development of AI tools to combat foreign election interference.

Architected v2 of core analytical data infrastructure, built on top of raw medical/pharmaceutical claims, insurance data, and application logs, which led to a 12x gain in warehouse efficiency. Developed prototypes for new predictive healthcare analytics product (“Castlight Action”) that delivered advanced detection of high risk pregnancies, diabetes, and back pain for early intervention and medical savings.

Developed predictive models of content virality through machine learning methods. Indirectly responsible for at least 5-10% of internet clickbait ;)

Developed quantitative analyses, automated campaign optimization reporting, marketing mix / attribution models, and recommendations on marketing strategy through data-driven analytics for C-Level executives of top Fortune 500 Brands in the Automotive, CPG, Healthcare, Pharmaceutical, and QSR verticals. Brands worked on include: Acura, Benylin, Botox, Honda, KFC, Lindt, Pizza Hut, Philip Morris, & Tylenol

Data Engineering, Experiment Design, Machine Learning, Visualization

Design Thinking, Finance, Stochastic Modelling, Strategy

Mechatronic Design, Production Management, Signal Processing, Space Systems