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Master of Business Administration - MBA
Master of Education - MEd
W20
Honours Bachelor of Commerce
Academic Exchange – School of Economics and Management & Computer Science
2024
2024
Anthropic builds reliable, interpretable, and steerable AI systems. If you are a founder building at the forefront of AI and want access to test the latest Anthropic models, ping me at jo@anthropic.com.
2022 - 2024
2022 - 2024
Leading PearX and partnering with founders building from zero to one. We customize PearX for every company and are hyper selective with our pre-seed investments (less than 1% acceptance rate). Post Demo Day, 87%+ of companies in each cohort raise from tier 1 institutional investors and multistage funds.
2021 - 2022
2021 - 2022
Led research and due diligence for early-stage investments in consumer, crypto, developer tools + opensource startups, and helped develop product spec for a16z’s accelerator program – CSX (Crypto Startup Accelerator)
2018 - 2021
2019 - 2021
PM Lead for Non-Restaurants Product Offerings (Grocery, Retail, Pharma, Microfulfillment). Launched from 0 to 650,000 weekly grocery deliveries with Walmart and Albertsons partnership. Working directly with the senior management team and engineering to integrate DoorDash Drive (API for white label fulfillment) by building new integrations (shopper API, multi-routing, substitution logic, events API, identity microservices for pharma, HIPPA + GDPR, etc) to enable enterprise 3PL adoption.
2018 - 2019
Launched DoorDash Drive API Platform where retailers can fulfill local delivery orders placed through their own app or website by integrating into our network of 1 million+ monthly active Dashers. Product development includes the build out of the API infrastructure (white-label dispatch optimization, pricing models, scheduling + alerting, and delivery-as-a-service) for Fortune 500 companies.
2015 - 2018
2016 - 2018
Led product team to experiment and launch automated driver incentives (Consecutive Trips Boost & Build Your Own Quest) across 700+ cities globally. Platform development includes advanced economics modeling and machine learning to optimize $2B of global driver promotions spend. Focus was on strengthening our infrastructure and incentive models to ensure that supply forecasts are optimally positioned relative to demand predictions while making sure drivers are always paid on time.
2015 - 2016
Managed global launches for driver incentives and mobilization of cross-functional teams (Eng, Data Science, Ops, S&P, Support, Marketing, Legal, Policy) to experiment and launch automated promotions across 700+ cities globally Built comprehensive review tools to help operations and support teams track a user’s account history and help them map user behavior stats with inbound support tickets to identify whether a customer had been incorrectly flagged (for fraud, promotions, bans, etc.)
2015 - 2015
Managed US regional operations strategy across driver supply & risk management. Created custom queries to scope attack vectors and deployed fraud rules to identify rider (chargebacks, ATO, account duplication, 2FA, new promotion abuse) and driver fraud (phishing, incentive abuse, instant pay + fare inflation, geolocation spoofing and app tampering prevention) and standardized abuse framework and implemented risk checks at multiple points across the user lifecycle.