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Madeleine Tsao
Product at Pave
Madeleine Tsao is a Senior Product Manager, Workflows at Pave, based in San Francisco, California.1 She has a diverse background in product management, customer success, and sales development.
Education and Background
Madeleine graduated Magna Cum Laude from Colgate University with double majors in Biology and Gender Studies.1 During her studies, she also participated in a program focused on the Civil Rights Movement, visiting important locations and meeting civil rights leaders in the deep south.2
Professional Experience
Madeleine's career at Pave has progressed as follows:
- Senior Product Manager, Workflows (Current position as of February 2025)1
- Product Manager (2022-2024)1
- Founding Customer Success Manager (2020-2022)1
Prior to Pave, Madeleine held positions at:
- Twilio Segment: Manager, Customer Success, Mid Market (2019-2020) and Sales Development, Special Projects (2018-2019)1
- Other previous employers include Zanui, eBay, Zuckerberg San Francisco General Hospital, Pet Emergency & Specialty Center of Marin, W Hotels Worldwide, and Guide Dogs for the Blind1
Skills and Expertise
Throughout her career, Madeleine has developed expertise in:
- Product management
- Customer success
- Sales development
- Business intelligence
- Operations management
- Finance
- Veterinary assistance
Madeleine's diverse experience demonstrates her adaptability and commitment to continuous learning across various industries and roles.
Highlights
We’re going global! 🚀
The Pave team is excited to introduce Global Location Insights, giving you access to compensation benchmarks for 45+ countries and over 75 international cities. With Global Location Insights, you’ll be able to:
🌎 Know what to pay employees, anywhere in the world 🌎 Find cost-effective hiring locations 🌎 Easily navigate compensation adjustments when employees move to new locations 🌎 Build a defensible international pay structure
If you don't have the time to build comp bands that anchor pay decisions on relevant market data & a durable job architecture, you absolutely don't have time to handle the inevitable consequences of deeply-engrained inconsistency & inequity across your org. It happens faster than you think.
The great news is that you actually have time to do this properly now. I'm insanely proud of the work we've done at Pave to launch a product today that factors current market data, employee levels, employee location, and your own compensation philosophy to effortlessly generate compensation bands that stop comp issues dead in their tracks.
Introducing Pave Foundations. Check out our live demo in the comments 👇
#data #fairpay #compensation
