Invests in
Locations:
Min Investment:
$25,000.00Max Investment:
$10,000,000.00Target Investment:
$5,000,000.00
Skills
Education
Lists including Jo
Work Experience
2024
Startups
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.
2023 - 2024
Head of PearX
2023 - 2024
Leading PearX and partnering with founders building from zero to one.
2021 - 2023
Partner
2021 - 2023
Investing in early stage investments in dev tools, crypto, and infra startups.
2020 - 2021
Co-Founder
2020 - 2021
Replace phone screens with AI short form video - YC W20 https://www.ycdb.co/company/stryve
2018 - 2020
Group Product Manager, New Verticals
2019 - 2020
Led non-restaurant verticals (grocery, retail, pharma) from 0 to 10M+ in annual deliveries through Walmart and Albertsons partnerships, developing enterprise integrations and APIs to enable Fortune 500 adoption of DoorDash's API platform.
Senior Product Manager, API Platform
2018 - 2019
Launched the DoorDash Drive API Platform enabling retailers to integrate white-label delivery capabilities from 1 million+ active Dashers into their own apps, building infrastructure including pricing, dispatch optimization, and scheduling for enterprise users.
2014 - 2018
Product Manager, Driver Pricing
2016 - 2018
Led global product team to launch automated driver incentive programs, applying advanced ML and economics modeling to optimize $2B in promotional spend while building infrastructure to align driver supply with demand forecasts and ensure timely payments.
Product Operations Lead, Marketplace
2015 - 2016
Managed global driver incentive launches across 700+ cities, orchestrating cross-functional teams to deploy automated promotions while developing user journey mapping tools and reporting systems that integrated customer behavior analytics to improve accuracy in user account decisions.
US Regional Operations, Risk
2014 - 2015
Focus was on driver supply optimization and fraud prevention across rider and driver ecosystems. Developed and deployed advanced fraud detection systems targeting chargebacks, account takeovers, driver incentive abuse, and geolocation manipulation while establishing standardized risk frameworks throughout the user journey.