Priyanka Jindal

Priyanka Jindal

Operator & Engineer

As an experienced operator and engineer, I find joy in applying technology to solve real business problems. I believe that the most impactful work happens only when the trio of talent, technology, and business come together - when any one is missing, it leads to sub-optimal outcomes.

I have 10+ years of proven track record leading product management, software engineering, and enterprise GTM teams to build and scale managed cloud infrastructure services at Amazon Web Services (AWS) and developer tools at a Sequoia backed startup, all while based in San Francisco. During my time at AWS, I built & scaled two new 0-1 products to grow VPC Networking and IoT platforms, directly served and engaged tens of Fortune 500 strategic accounts, and scaled services with tens of thousands of mid-market customers. I have deep expertise in technical product management and scaling enterprise GTM, specifically hybrid-cloud deployment model, usage-based pricing & packaging, and developing channel partnerships. Before finding my way back to my engineering roots, I started my career as a quant developing algorithms and pricing at Nomura Securities and Lehman Brothers in Tokyo.

I earned my bachelors in Computer Science and Engineering from Indian Institute of Technology Delhi, where I received the outstanding research award for my undergraduate thesis (built an FPGA accelerator to speed up a compute intensive application by 5x). To navigate across countries (Tokyo to USA), industries (trading to high-tech), function (finance to product development) and US immigration system, I also earned an MBA from Kellogg School of Management, Northwestern University.

Blog Posts

Pitfalls of AI <persona> positioning

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Divinely discontent

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My AI native dev environment

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What has not changed with Enterprise AI?

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Self-host models or use APIs?

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