Episode 75
How To Break Into Technical Program Management at Amazon (& Big Tech) - w/ Madhur
One of the twenty most-watched Ready Set Do episodes on YouTube right now.
Amazon interviews have a way of making smart people overthink the obvious and underprepare the parts that actually matter. This one gets into the loop, the hiring bar, and the kind of interview prep that is useful when the room is moving fast and nobody is handing out extra credit.
Who this is for
- You are breaking into a new lane and need proof before the story looks obvious.
- You would rather hear Madhur's version while the mess is still fresh than get another polished hindsight sermon.
Key takeaways
- Break Into Technical Program Management at Amazon (& Big Tech) - w/ Madhur
- Start doing this from the FIRST semester for TPM roles
- How to write scholarship essay
- For Amazon-style technical program or program-management work, Madhur divides readiness into technical and business...
Need the cleaner version?
I pulled the sharpest parts of this lane into a guide so you do not have to reconstruct the answer from memory later.
Fast scan timestamps
Read the complete transcript
The edited transcript keeps the speakers' ideas, timestamps, and specific details while removing repetition and filler.
Transcript-backed moments
A few lines worth stealing before you hand over the full hour.
Naman introduces Madhur's path from chemical engineering and business analytics into program management at Amazon. The episode covers the work itself, technical and business skills, graduate-school choices, job-search tactics, resume evidence, and the full Amazon process that moved Madhur from a business-analyst candidacy into a program-manager offer.
Madhur works in Amazon's customer-trust organization on forecasting, planning, and research. The role sits between data, strategy, and execution. His team forecasts how many investigators are needed to review orders that automated systems flag as potentially suspicious, across both short-term and long-term planning horizons.
Amazon's machine-learning systems evaluate orders using signals such as account, address, payment, and location information. Madhur says the large majority pass automatically, while a small fraction need manual review. Program management connects the model's operational output to staffing: investigators must be available when uncertain cases require human judgment.
For Amazon-style technical program or program-management work, Madhur divides readiness into technical and business skills. His technical foundation is SQL, with Python useful depending on the team; data visualization through Power BI or Tableau; and Excel for fast analysis, variance calculations, and data checks. A candidate should read the specific role rather than assume every TPM uses an identical stack.
On the business side, stakeholder management and requirements gathering are essential. Cross-functional programs fail when the manager cannot surface what different teams need, translate the problem, and resolve conflicting assumptions. Tools make analysis possible, but the job is often won or lost in communication, alignment, and consistent execution.
Show notes
Amazon interviews have a way of making smart people overthink the obvious and underprepare the parts that actually matter. This one gets into the loop, the hiring bar, and the kind of interview prep that is useful when the room is moving fast and nobody is handing out extra credit.
More in Break In
Same mess. Different guest. Pick the next conversation that feels closest to your real life.