#12: Evolving Organizations and Careers with Amanda Donohue
Manage episode 360875293 series 3443097
On this episode, I chat with Amanda Donohue who I met during my time at Meta Facebook. Amanda leads the Stripe enablement organization which is a team of engineers and program managers who build tools and programs that focus on how Stripes do work. Her team owns surfaces that focus on the software development lifecycle and collaboration. Amanda joined Stripe to lead the centralized TPM org.
She's now the TPgM functional leader for the company. Previously, Amanda held TPM leadership roles at Meta Infrastructure Organization.
Amanda has had an interesting journey to becoming the leader today. On this episode, she talks about building confidence to work with engineering without a technical degree, adapting TPM organizational structure to the business needs and the need for broader TPM community.
Learn more about TPM with these resources
TPM Insights
Cracking the TPM Interview Course
Send us a message
😎 Subscribe to The Priyanka Shinde Podcast for more fascinating conversations.
----------------------------------------------
📌 Follow:
Priyanka Shinde on LinkedIn
Priyanka Shinde's Facebook Page
Priyanka Shinde's Instagram Feed
Priyanka Shinde's Youtube Channel
----------------------------------------------
Work with Priyanka Shinde
Read her Book - The Art of Strategic Execution
▶ About the Priyanka Shinde
I am an AI Product Leader and Execution Strategist with a proven track record of building, scaling, and delivering AI-powered innovations. With experience at Meta and Cruise, I have helped businesses leverage AI for growth, efficiency, and real-world impact. As an Executive Coach, Startup Advisor, Keynote Speaker, and Author, I am passionate about guiding leaders, entrepreneurs, and product teams to navigate the evolving AI landscape.
From developing cutting-edge AI solutions to mentoring the next generation of innovators, my mission is to bridge the gap between technology and execution—empowering businesses to thrive in the AI-driven future.
40 episodes