Series

How successful people got unstuck and got hired in Big Tech.

This is the cleaner shelf for the Big Tech episodes: data science, AI, software engineering, product, TPM, and the career switches that do not fit neatly on a resume until someone explains them well.

Source conversations13

Episodes where the guest gets into the actual path, not just the polished ending.

Full transcripts13

Crawlable conversations for Google, ChatGPT, Perplexity, and the humans who read before they listen.

Guides5

Cleaner answer pages built from the raw episode language.

Role paths

Pick the version of Big Tech you are actually trying to enter.

The job search gets less cursed when the lane is named clearly. A data scientist, software engineer, PM, and career switcher do not need the same proof.

5 episodes

Data Science + AI

For the person trying to sound hireable in data science, applied AI, analytics, ML, or agentic AI roles without turning into a tool-name vending machine.

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4 episodes

Software Engineering

For the person trying to turn engineering proof into interviews, screens, and a story a recruiter can actually route.

Read the guide

4 episodes

Product, PM + TPM

For the person trying to break into product or program roles where the hardest part is proving the way you think, not just the title you want.

Read the guide

4 episodes

Career Switchers

For the person whose path does not fit neatly on one line, which is usually where the most useful story starts.

Read the guide

Transcript-backed

A few lines from the actual conversations.

This is the part search engines and answer engines need too: real language from the source, then cleaner paths around it.

Guides

The answer pages built from this series.

Episodes are the source. These pages are the shortcuts.

Guide

How to get hired in Big Tech

A transcript-backed guide to getting unstuck in Big Tech hiring, built from Ready Set Do episodes with engineers, data scientists, PMs, TPMs, recruiters, and AI builders.

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Guide

How to get hired as a data scientist in Big Tech

A transcript-backed guide to Big Tech data scientist hiring, with episodes on Amazon AI, data science interviews, ML interviews, data engineering, and career switches into data.

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Guide

Getting hired in Big Tech as a software engineer

A transcript-backed guide to Big Tech software engineering jobs, recruiter screens, interview prep, portfolios, and the tiny signals that make a candidate easier to trust.

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Guide

Getting hired as a machine learning engineer

A transcript-backed guide to machine learning engineer interviews, applied AI roles, project proof, and how Big Tech teams actually talk about model work.

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Guide

Data scientist career guide

A transcript-backed guide to data science, data engineering, analytics, dashboards, interviews, and the practical path from raw curiosity to hireable proof.

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Source episodes

Go to the raw conversations when you want the whole room.

Every source page has the video, audio, transcript context, and internal links back into the rest of the site.

Ep 106

How To Get Hired For Agentic AI Big Tech Roles in 2026 (Amazon Sr Data Scientist POV) - w/ Surya

Agentic AI hiring is already past the point where saying 'I use Claude' sounds impressive. Surya Kari works on Amazon's generative AI team, so this conversation gets into what actually matters now: customer judgment, data science fundamentals, model evaluation, and the proof that tells a hiring team you can ship inside a real business.

Surya · May 9, 2026

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Ep 45

How to Break Into Data Science (Interview Prep Masterclass from ex-Amazon and Walmart Data Scientist) - w/ Karun

Data science interviews have become their own weird theater: LeetCode, dashboards, vague case studies, and a whole lot of pretending. Karun keeps it grounded here and walks through what actually matters if you want the job, not just the buzzwords.

Karun · Jan 29, 2025

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Ep 69

How To Crack Machine Learning Interviews (Microsoft & Walmart Sr Data Scientists POV) - w/ Nirmal & Karun

Machine learning interviews have become a strange mix of theory, product sense, and please-do-not-waste-my-time energy. Nirmal and Karun pull the curtain back on what candidates keep getting wrong, what hiring teams actually notice, and how to stop rehearsing answers that sound smart but do not land.

Nirmal · Jul 9, 2025

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Ep 53

How To Transition From Economics Academia To A Career In Data Science - w/ Bhoomika

A clean career pivot sounds nice until you are the one in the middle of it. Bhoomika walks through moving from economics academia into data science, what her background gave her, and how to make a non-linear path feel honest instead of apologetic.

Bhoomika · Mar 19, 2025

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Ep 57

How To Get Hired As A Data Engineer - w/ Sam

Data engineering is the role people find after they get tired of vague 'learn data' advice. Sam makes the path concrete: what the job really asks for, which tools matter, and how to get hired without pretending you woke up fluent in all of it.

Sam · Apr 17, 2025

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Ep 28

How To Be An Ace Big-Tech Software Developer - w/ Hemant

Everyone wants the clean answer for how to get into Meta, but the real path is usually a lot less tidy than the LinkedIn version. This one gets into the stuff that actually moves the needle: the technical bar, the moves that help you switch to better opportunities, and the kind of prep that does not collapse the second an interviewer asks a real question.

Hemant · Oct 9, 2024

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Ep 21

How To Crack Your First US Internship (& Transition to Product Manager Roles) - w/ Maya

First internships are often less about being brilliant and more about not getting spooked by the process. This episode is for the person who keeps thinking the US product manager path is only for some polished, obvious candidate from the start.

Maya · Aug 22, 2024

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Ep 75

How To Break Into Technical Program Management at Amazon (& Big Tech) - w/ Madhur

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.

Madhur · Aug 20, 2025

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Ep 18

How To Design High-Quality UI/UX Tech Products (Microsoft Edge Designer POV) - w/ Tushar

UI and UX advice gets mushy fast because people love talking about taste more than work. Tushar gets specific about the HCI route, what product design at Microsoft actually asks of you, and why good interface work is usually less about pretty screens and more about thinking clearly when the constraints get annoying.

Tushar · Jul 31, 2024

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Ep 2

How To Become a Tech Program Manager - w/ Pragya

Getting hired at Amazon is one thing. Getting hired into a role that actually fits you is the harder part.

Pragya · Apr 10, 2024

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Ep 49

How To Break Into AI Product Management (& Why It Might KILL Regular PM Roles in 2025) - w/ Aman

AI product management sounds clean from far away. Up close, it is a mess of shifting expectations, vague job titles, and people pretending the role is already settled.

Aman · Feb 19, 2025

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Ep 11

How to Trailblaze a Career in the Construction Industry (as a Woman) - w/ Farheen

Construction is full of people who act like there is only one way to get in. Farheen did not follow that script; she moved from architecture into construction management and talks honestly about what changed, what stayed hard, and how she kept the move from turning into a performance.

Farheen · Jun 13, 2024

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Ep 35

How To Design Generative AI Features For Adobe Acrobat (& Break Into Machine Learning Engineering Roles) - w/ Nikhil

Most AI conversations skip the part where someone has to build the thing inside an actual product with real users and real constraints. Nikhil talks through what it looks like to design generative AI features for Adobe Acrobat and how that kind of work maps to machine learning engineering roles.

Nikhil · Nov 28, 2024

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