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Shobhit Tomar

@shobhittomar

Product Manager specializing in payments, AI automation, and platform growth.

India
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What I'm looking for

I seek product roles where I can lead payments or AI-led platform initiatives, drive measurable growth, work cross-functionally in data-driven teams, and build scalable, revenue-generating systems.

I am a Product Manager with 6+ years of experience building and scaling enterprise platforms and consumer products across high-growth digital ecosystems, with deep expertise in payments infrastructure, AI-led automation, onboarding systems, funnel optimization, and ERP/SAP integrations.

I have delivered measurable business impact through data-driven product strategies and operational automation — examples include a unified payments platform saving ₹2 Cr annually, AI document verification reducing manual effort by 80%, and funnel improvements delivering double-digit conversion and retention gains.

I work cross-functionally to launch multi-tenant SaaS products, implement analytics and experimentation frameworks, and drive product-led growth for fintech, SaaS, marketplaces, and platform ecosystems. I prioritize measurable outcomes, scalable systems, and user-centric design.

Experience

Work history, roles, and key accomplishments

BY

Associate Product Manager

Byju's

Jul 2019 - Jun 2023 (3 years 11 months)

Managed roadmap and led a 17-member cross-functional team to launch engagement features like Quiz of the Day, improving learner retention by 14% and increasing platform engagement by 12%.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Guwahati logoIG

Indian Institute of Technology Guwahati

Master of Technology, Computational Mechanics

2017 - 2019

Grade: 7.61/10

Completed M. Tech in Computational Mechanics with a GPA of 7.61/10, focusing on computational methods and mechanics applications.

NT

Noida Institute of Engineering and Technology

Bachelor of Technology, Mechanical Engineering

2011 - 2015

Grade: 70.86%

Completed B. Tech in Mechanical Engineering with a GPA equivalent of 70.86%, focusing on core mechanical engineering principles.

Tech stack

Software and tools used professionally

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