Abhishek Choudhary, Product Manager in Bengaluru, Karnataka, India
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Abhishek Choudhary

Verified Expert  in Product Management

Product Manager

Location
Bengaluru, Karnataka, India
Toptal Member Since
September 29, 2020

Abhishek is a focused PM with a strong technical background. He is currently building Coldpress AI, a data marketplace for ML projects. He was a B2B PM at BrowserStack, where he scaled automated testing platforms and infrastructure, improved customer satisfaction, drove the company's open-source strategy, and launched new business lines to boost TAM. As a B2C PM at Amazon, Abhishek's work added tens of millions to overall revenue and helped expand Amazon's reach to users in developing countries.

Project Highlights

A Faster Amazon Purchase Experience
Prioritized loading parts of the Amazon detail page over others, to aid instant interactivity for users on a slower device or network.
Open Source Vision and Strategy for BrowserStack
Established and drove the open source vision and strategy of the company.

Expertise

Work Experience

CEO

2022 - PRESENT
Coldpress AI
  • Built the company from just an idea. Single-handedly performed everything from market research to prototype development in a few weeks.
  • Established communication channels with first users, industry experts, and strategic partners to evolve the offering for product-market fit.
  • Launched multiple offerings to a great reception in the open source community and on Product Hunt.

Senior Product Manager

2019 - 2022
BrowserStack
  • Worked as a product lead for open-source initiatives strategy for open-source product development, partnerships, and acquisitions.
  • Managed iconic open-source projects like Nightwatch.js and Selenium, developing next-gen software testing experiences.
  • Spearheaded new business lines from 0 to 1 for new frameworks like Puppeteer, Playwright, and Cypress. Owned primary and secondary research roadmap and user onboarding to ensure success at launch and unlock over $50 million a year in future revenue.
  • Owned performance, stability, and customer satisfaction roadmap for Automate. Orchestrated a 10% leap in NPS over 12 months with projects identified from a mix of rigorous analysis and anecdata.

Product Manager

2017 - 2019
Amazon.com
  • Served as a product owner for the detail page and scrum master for the “Website Platform and Performance” group. Groomed quarterly, yearly, and 3-year backlogs aiding delivery speed and predictability.
  • Identified, evangelized, and spearheaded the eventual adoption of a new company-wide goal of reducing “failed customer interactions” due to transmission latency on detail page—an estimated return of >$100 million/yr over the next decade.
  • Led planning for a 5-year UX strategy for the next billion users as a part of Amazon’s goal to expand into developing countries, focusing on improved site accessibility for low-end devices and poor networks.
  • Analyzed user engagement to bring a new add-to-cart experience to market to improve CX and enhance upsell options.

Software Engineer

2016 - 2017
Amazon.com
  • Designated "scale expert" and led worldwide operations among 200+ teams for Prime Day, Black Friday, and Christmas sales.
  • Extended caching architecture to improve page load times by 28%, enabling annual savings of $500,000 in computing costs.
  • Created a new pan-website asset preloading architecture, contributing to around 5% better page load times across the board and more than $50 million of annual estimated revenue.

Engineering Lead

2015 - 2016
PressPlay Private Limited
  • Served as product owner and scrum master. Led the creation of the advertising platform that enabled first revenues and Series A funding.
  • Created an annual savings of $100,000. Built systems and designed processes to allow automation of inventory management.
  • Created the analytics and reporting Backbone of the video streaming application.

Software Engineer

2014 - 2015
Zomato
  • Improved cross-listing visits and upsell with the first recommendation engine for the website.
  • Developed payment and subscription architecture for ‘Zomato for Business’. Product increased revenue by 10% at launch.
  • Built a performant back-end for the native advertising platform, enabling 10X data collection without impacting latency.

A Faster Amazon Purchase Experience

http://www.amazon.com

Prioritized loading parts of the Amazon detail page over others, to aid instant interactivity for users on a slower device or network.

Analyzed large datasets to find the right features of the page to prioritize (since bytes are at a premium).

The Amazon portfolio of widgets is in the thousands, and I could only select a handful for this project to be successful. Jointly designed (with engineering) a rendering pipeline that can significantly prepare, render, and flush the prioritized part of the page. I created a roll-out strategy across product lines and user types to mitigate risk and maximize the returns from collected data, eventually crystallizing into a worldwide release strategy.

The Amazon detail page for the vast majority of products is now faster to respond to user interactions by multiple seconds in most instances, which has resulted in a much better experience for the customer in regions where lots of data and computing power are still at a premium; additionally, Amazon is now able to tap into tens of millions of dollars in latent revenue.

Local Desktop App for BrowserStack

https://www.browserstack.com/blog/the-road-to-a-new-local-testing-experience/

Led a team of five engineers to develop a new dashboard for managing a complex command line tool, which reduced customers' operational errors by 60%, and a majority of customers ended up preferring the new GUI workflow to the previous one.

Testing non-public websites is a USP for any web-testing platform, and BrowserStack enabled this with a CLI application called BrowserStack Local. However, that application had a very high failure rate due to user error, given the technical nature of the work and the lack of good UX guardrails—up to 75% of users failed to use the application on the first try.

With data analysis of the largest pain points, we developed an MVP for a GUI dashboard within the application to help users cross the hump. We were able to reduce the onboarding friction almost entirely.

NPS Improvement for BrowserStack Automate

Prioritized a large swathe of improvements across various customer touchpoints in BrowserStack Automate to raise the product's NPS by 10%.

As a mature product, Automate by BrowserStack suffered from the issue that a single new feature was not going to help significantly improve NPS, which had been stagnant for some time. With a mixture of rigorous data analysis, customer interviews, and primary usage, I identified and prioritized a set of technical and UX optimizations to solve customer issues. For example, creating fallback-to-default workflows in incorrect or incomplete inputs for testing parameters and indicators of potential customer errors during test setup. Cumulatively, our NPS number moved by 10% across the quarter after being stagnant for two years.

Open Source Vision and Strategy for BrowserStack

Established and drove the open source vision and strategy of the company.

As a market leader in the web and app testing space, BrowserStack was hitting a glass ceiling—a lot of the customer dissatisfaction with BrowserStack was dissatisfaction with the state of the testing market itself. In order to efficiently change the direction of the entire market, we needed to be able to set the direction of the market and best practices outside of our paid products.

As the open source product management lead for BrowserStack, I was managing BrowserStack Automate as well as Selenium and Nightwatch.js. Using this vertical integration, I created the open source strategy for BrowserStack with a combination of acquisitions and new feature development to help uplift the state of the testing market and improve the workflow for all users interested in testing better. This includes everything from onboarding to testing tools, reporting, analytics, and advanced features like self-healing tests.
2010 - 2014

Bachelor's Degree in Computer Science

SRM University - Chennai, India

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