Theresa Johnson

Adjunct Professor

2024

Intro to Product Management MS&E 165

Investor

2020

Investing and advising startups in AI/ML.

Public Speaker

2017

Principal Product Manager, Global Payments

2022 - 2024

As a Principal PM in Global Payments, I own and lead outcomes related to our big data foundation, ML/AI-based financial forecasting and product-led growth features that directly impact users and drive conversion. I empower my team members to own and drive their own work, by removing obstacles and providing adequate resources to ensure success.

Senior Product Manager, Global Payments

2020 - 2024

As Senior Product Manager for our Core Payments, I’m responsible for building big data and machine learning APIs and platforms to help Airbnb business lines easily integrate and maintain their payment solutions. I collaborate with our US-based teams in SF and Seattle as well as our global teams in China, India, Dublin and Singapore. I set the team mission to make the process of paying and being paid invisible by providing a fast, consistent and error-free experience to our Hosts and Guests, no matter the payment method or product logic. I lead strategy and execution for an organization with nearly 30 engineers launching key features such as a payment-focused chat bot, AirCover+, smart retry logic, travel insurance, pet fees, tax collection, Russia/Ukraine sanctions, alternate payment methods, Tax collection, and many more.

Product Manager, Global Payments

2018 - 2024

As a PM in Payments, I handle nearly $400 billion through our platform in 220 countries and 60 currencies. We hold billions of dollars of custodial cash at any point in time. In this role, I ensure that we have highly accurate and reliable financial big data and machine learning available to the business. In addition to building a seamless and reliable financial data pipeline, our team built forecasting and analysis tools for financial planning - Delphi - for a complex 2 sided marketplace. We improved accuracy of our models significantly and created new features so that business users can integrate with their planning process.

Data Scientist, Supply Growth

2016 - 2018

As a data scientist on Growth, I focused on running experiments in a two-sided marketplace, building machine learning models for users to drive new behaviors, and growth strategies to drive new listings onboarded. I built a machine learning model for our marketplace that unlocked growth through social networks. I also delivered ML/AI powered dashboard to give hosts insights to empower better hosting and drive new behavior.

Data Science Graduate Fellow

2015 - 2016

I use data to grow, engage and uplift Airbnb hosts. I built a natural language processing LLM model to understand user sentiment in reviews and profiles and create responses from hosts. I also used generative text LLMs to automatically complete listing descriptions and titles, some the hardest steps for users. I also used image recognition to help users take better listing photos.

Investment Scout

2018 - 2020

Supporting entrepreneurs

Angel Track Investor

2018 - 2018

Product Manager

2009 - 2009

Focused on developing channel partners in real estate to launch the SchoolFinder Application widget. Resulted in measurable uptake in use and new partnerships. Led the development of the SchoolFinder iPhone application to further drive traffic to Education.com main portals

Product Strategy and Business Development

2008 - 2008

Responsible for customer acquisition and power user engagement. Identified potential community building and messaging techniques. Utilized blogs and social media campaigns as link bait to drive use. Responsible for understanding the product use cases and interaction through user focus groups and power user analysis. Worked with the team between beta launch and series A financing to meet key milestones.

Global Corporate Financial Leadership

2005 - 2005

Leadership program; Intensive Business training; spent several weeks shadowing the Treasurer, CFO and SVP's of IBM. Established, executed, and evaluated performance measurements for US, MX and CA cash management trade desks. Developed text compare protocol to legally settle FX trades