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technology
Hosted by Amazon Corporate Communications · technology · EN · 30 episodes
Your go-to podcast for real conversations about using AI tools at Amazon. Amazonians across different roles share practical techniques you can try the same day. No theory, no jargon—just conversations about what works, what doesn’t, and how to get better together. Note: Some tools, resources, and internal references discussed in this podcast may only be accessible to Amazon employees. Disclaimer: The views, techniques, and tool preferences shared in this podcast represent the personal experiences and opinions of the host and guests. Always follow your organization’s security and compliance guidelines when implementing AI solutions
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Signup to Generate a PitchstrAIght talk: AI tips for Amazonians is a technology podcast hosted by Amazon Corporate Communications, with 30 episodes on record and a Required Pod Score of 80.
Amazon Corporate Communications hosts strAIght talk: AI tips for Amazonians, a technology show with 30 episodes published.
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Episode #31
What if your documents got VP-level feedback before the actual review? On this episode of strAIght talk, hear how one builder turned a decade of leadership feedback into an AI-powered review tool now used by over a thousand colleagues each week. Guest: Isabela Huggins, Sr. Manager, Ops & Enablement, Global Logistics
Episode #30
Beth Galetti, SVP of People Experience and Technology, hadn't written code in 25 years. Then she built a live website with AI on a transatlantic flight and challenged every person in her organization to build something in two hours or less. Over 1,000 did. Guest: Beth Galetti, SVP, People Experience and Technology, Amazon
Episode #29
The Working Backwards AI tool was built to be your toughest thinking partner for product ideation. The tool walks you through five customer questions, generates personas who react to your idea, and brings in domain experts to test your thinking. Over half of users say their final idea was different from what they started with. Guest: Phil Nachbar, Principal Product Manager, Working Backwards
Episode #28
Telling your team to "experiment with AI" without a structure usually leads to scattered pilots that fizzle out. One leader built a model that loads both ends: a dedicated Tiger team reimagining one high-value workflow while the broader org gets protected time to skill up and share what's working. On this episode, our guest walks through the full framework, how the two sides feed each other, and why getting to a disappointment fast is more valuable than waiting months for a polished demo. His biggest tip: pick one workflow where the pain is obvious, give a single owner two weeks, and ship something working. Guest: Ishit Vachhrajani, Director of Tech, AI, and Executive in Residence, AWS Marketing
Episode #27
Reviewing a document against a standard used to mean line-by-line cross-referencing — toggling between the policy and the draft, flagging deviations manually. One team built an agent that takes the first pass, handing back an annotated Word doc with comment bubbles on anything that needs attention. On this episode, the builder shares the full setup, the exact prompts, and one trick that pulls standards from any internal page without a connector. His biggest tip: start with the review task that comes up the most — volume drives the biggest savings. Guest: Sean Callahan, Sr Program Manager, Legal, AWS Infrastructure
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