Rajath Narasimha is an AI/HPC and Cloud product manager and a technology tinkerer based in the San Francisco Bay Area region. His online content aims to solve real customer & organizational problems through tactical and strategic solutions using Product and business fundamentals.
For problem-solving, he believes in asking a series of rational questions before breaking them down to apply complexity analysis. He leverages risk vs reward algorithms for a reliable plan of action consuming minimal resources and effort contention for the most RoI.
These ideals form his first principles, which are the cornerstones of his model while considering the social and human aspects at various touch points, which can be irrational.
This is the conundrum the technology industry deals with their products day in and day out. Engineering and technology problems are comparatively easier to predict and solve since code, circuits, servers, racks, databases, and systems behavior are mostly rational and can be predicted with a space and time response.
On the contrary, global market demand, user behavior, and pain points are all anything but rational and congruent since human beings across the world are so unique with their transitory tastes, experiences, and preferences.
Solutions that prioritize customers' dynamic unmet needs in a niche segment by taking measured actions using a variety of tools to solve their predicaments in the least amount of time, with a unique value proposition to drive engagement and retention, become the leading indicators of the product’s health and profitability in the long term.
In his case studies, Rajath analyses a wide range of organizations that have successfully demonstrated this ability and some that are currently being challenged with the task of innovating and pivoting to the next generation of product-led growth to stay relevant.
In his blogs, he outlines seminal product management fundamentals and problem-solving principles to break them down into a digestible form, which most people can apply to scale their products and holistically boost retention.
“With a background in Electrical Engineering and over 12 years of experience in Hardware and Software Product Management, I have navigated challenges in core customer problem-solving and product delivery from 0->1->N across three different PM roles.
Recognizing the limitations of relying solely on engineering tools for business strategy, I pursued an M.B.A(2015) and a Machine Learning Boot Camp from U.C Berkeley (2020) to enhance my ability to address business operations, product sense, user demand, and customer churn issues. My recent exposure to the Product School community (2021) and Product Strategy from Kellogg School of Business community (2023) have transformed me into a customer-centric advocate, proficient in translating unmet needs into features that drive product-led growth producing positive outcomes for both the customers and the business.
By integrating my AI/HPC and Cloud expertise with a keen eye for customer delight, coupled with a strong business acumen, I have a track record of identifying impactful opportunities and organically scaling B2B AI/HPC and Infra products over a decade.”
“We all have hopes, dreams, and aspirations, and it’s been my passion and obsession to build delightful products of value that solve real user pain points. Through my blogs and case studies, I find a platform to share my solutions on all things products and hope to build a strong community of like-minded leaders from it.
Join me on my network, while we make this journey of personal growth with futuristic ideas and a promise to keep experimenting, failing, learning, and building one product at a time!”