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Inside Platform Product Management with Aindra Misra: AI, Career Transitions, and Key Skills
Manage episode 476016085 series 3611787
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In this episode of the Intentional Product Manager podcast, Shobhit Chugh sits down with Aindra Misra, Director of Product for Data, AI, and Cloud Platforms at Bill, to explore the world of platform product management.
They break down what makes platform PM different from traditional PM, the importance of horizontal thinking, and why scalability and cross-functional collaboration are critical to success. Aindra offers valuable insights into AI’s role in enterprise tech, the unique challenges platform PMs face, and what engineers need to know when transitioning into product roles.
Packed with real-world examples and actionable advice, this conversation is essential listening for anyone aiming to grow as a product leader.
Episode Highlights:
00:00 – Introduction
00:22 – What makes platform PM unique
01:58 – Building scalable, foundational systems
03:43 – Driving collaboration across teams
05:05 – Why horizontal thinking matters
05:46 – Real-world examples from Aindra’s work at Bill
13:23 – Navigating common platform PM challenges
17:23 – How AI is reshaping enterprise tech
25:16 – Tips for transitioning from engineering to product
29:48 – Aindra’s career journey and key advice
33:40 – Wrap-up and how to connect
Shobhit Chugh on LinkedIn: https://www.linkedin.com/in/shobhitchugh/
Aindra Misra on LinkedIn: https://www.linkedin.com/in/aindra-misra/
www.intentionalproductmanager.com
Chapters
1. Introduction (00:00:00)
2. What makes platform PM unique (00:00:22)
3. Building scalable, foundational systems (00:01:58)
4. Driving collaboration across teams (00:03:43)
5. Why horizontal thinking matters (00:05:05)
6. Real-world examples from Aindra’s work at Bill (00:05:46)
7. Navigating common platform PM challenges (00:13:23)
8. How AI is reshaping enterprise tech (00:17:23)
9. Tips for transitioning from engineering to product (00:25:16)
10. Aindra’s career journey and key advice (00:29:48)
23 episodes
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