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Siddhant Sahu

Siddhant Sahu

Product Manager, Go-to-Market, AI, Automation, Early Stage Builder

siddhant-sahu
San Francisco Bay Area, California
Joined January 2025
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AI Product Strategy
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Enterprise Automation Architects
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AI Automation Sales
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STRIVR Product Engineering
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Automation Leadership
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Venture Capital Advisors
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Meta VR AR Engineers

Summary

Siddhant Sahu is a product management and go-to-market professional specializing in AI and automation. His expertise spans from traditional Robotic Process Automation (RPA) to cutting-edge agentic AI tools, with a strong focus on their application in enterprise settings. He actively dissects the economics of software businesses, particularly AI, from product, technical, and business lenses, and focuses on assessing the real business value of AI co-pilots. substack+2
He is currently driving product management for Amazon Q and Amazon Quick Suite at Amazon Web Services (AWS), demonstrating his leadership in developing advanced AI solutions for enterprise clients. His work at AWS and his role as a Resident Expert at AI2 Incubator highlight his commitment to building and scaling AI-first startups and shaping the future of enterprise AI. ai2incubator
His professional background includes significant experience in customer engineering, go-to-market strategy, and operations at companies like STRIVR, where he focused on enterprise VR adoption for immersive training, and Automation Anywhere, where he led product and GTM for RPA solutions. This breadth of experience underscores his ability to bring products from concept to market and drive revenue growth. linkedin+1
Siddhant's academic background includes a Master’s Degree in Management Studies from Duke University’s Fuqua School of Business and a Bachelor of Technology in Mechanical Engineering from Vellore Institute of Technology. His earlier research includes topics in financial risk modeling and quantitative finance. researchgate+1

Work

Education

Writing

Macros to Agents: The Cyclical Evolution of Automation

January 1, 2025

A comprehensive article tracing the evolution of enterprise automation from mainframes to AI-native architectures, with a focus on agentic AI tools and the shift in business logic to AI layers.

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Assessing the real business value of AI agents: Product, UX, Data & Systems

September 1, 2023

A framework to assess the efficacy of co-pilots for enterprise productivity, focusing on product-market fit, user experience, data, and systems integration. This is the first of a three-part series.

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Business Process Automation and the Generative AI Turbocharge

August 1, 2023

An article discussing the concept of enterprise corporate micro-processes and how generative AI can either turbocharge or disrupt existing business workflow automation.

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Financial risk modelling in vehicle credit portfolio

January 1, 2014

A research paper on financial risk modeling within vehicle credit portfolios.

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Visualization of Quantitative Thresholds in Stocks

January 1, 2014

A research paper on the visualization of quantitative thresholds in stock market data.

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Empirical and Indian Automotive Equity Portfolio Decision Support

January 1, 2014

A research paper focusing on empirical analysis and decision support for Indian automotive equity portfolios.

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