Sujoy G.
5.0
(1)
Studied at University of California, Berkeley
Works at Duetto
Available today at 11:00 PM UTC
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About Sujoy
I have always been fascinated by the intersection of data, systems, and impact. I started out exploring data science through a sustainability lens, thinking about how smarter systems could drive meaningful change. That curiosity evolved into building large-scale products (Wayfair, Capital One Shopping, JP Morgan Ventures) that solve complex problems and generate real revenue. Along the way, I have navigated the full arc of breaking into product, leveling up to senior roles, and leading 0 to 1 initiatives at high-growth startups and Fortune 100 companies. I have completed over 30 interview loops across FAANG, hypergrowth startups, and Series D companies and can share my experiences candidly including the wins, mistakes, and tactics that actually move the needle.
Why do I coach?
I coach because I would not be where I am today without the guidance I received early in my career. A coach helped me break out of JPMorgan and make the leap into high-growth startups. As a first-generation professional, there were countless unknowns I had to figure out on my own. Now I want to pay it forward. Whether it is breaking into product, moving from individual contributor to senior, or navigating the messy parts of career growth, I love helping others cut through the noise and get where they want to go faster.
Work Experience
Senior Product Manager AI/ML
Duetto
2025 - Present
Pricing, Algorithms Product Leader building 0-1 dynamic pricing experiences for 7K+ hotels at Series D hospitality tech startup
Manager, Product Management
Capital One
2023 - 2024
Led AI-powered growth and personalization across an 18M+ DAU ad-tech platform, driving measurable impact across revenue, engagement, and retention. * Drove 30% ARR growth leading a cross-platform ad-tech product serving 400+ enterprise merchants and 18M+ DAUs, scaling PLG adoption through CRO experimentation, funnel optimization, and AI-driven personalization. * Increased conversions by 25% by launching a segmented dynamic pricing engine using multi-armed bandits (MAB) to tailor offer depth by behavioral signals, boosting CTR, purchase intent, and ad revenue. * Built and scaled an AI-powered mobile extension from 100 to 60K+ sites and 4M users, achieving 2.5x MoM revenue growth by prioritizing retention-focused features, cross-device UX, and content ranking improvements across email, push, and SMS.
Product Manager II, Growth AI/ML
J.P. Morgan
2023 - 2023
Led cross-functional product, engineering, and ML teams to launch AIpowered workflows and growth levers that scaled activation, automation, and revenue across the user (real estate landlord) journey. * Boosted user activation by 40% and improved time-to-value by launching a high-conversion search and discovery API, combining ML-powered ranking with funnel analysis and PLG-driven onboarding optimizations. * Shipped LLM-backed expense validation product from 0→1, increasing automation by 40% and driving 8% revenue lift through strategic prioritization, iterative UX testing, and adoption playbooks. * Scaled experimentation velocity across 15+ teams by standardizing ML and A/B testing frameworks used to inform growth loops, ranking, and workflow accuracy.
Product Manager, Growth AI/ML
J.P. Morgan
2021 - 2023
Promoted as one of the first Innovation PMs at JPMorgan, led AI-powered product launches that scaled activation, onboarding, and analytics across 30M + users. * Boosted user activation by 20% and cut verification time by 90% by overhauling onboarding infrastructure, aligning cross-functional stakeholders, and scaling KYC/AML automation through growth experimentation. * Defined vision and execution for 3 AI-powered cloud platforms adopted across 5 business units, driving multi-seat activation, personalized in-app experiences, and real-time analytics for 10M+ users. * Launched tailored onboarding and personalization features for 30+ fintech clients, leading to 70% adoption of embedded modules that increased engagement, surfaced timely insights, and improved long-term retention
Product Manager, Last-Mile Logistics & Intelligent Routing
Wayfair
2020 - 2021
Led product development for last-mile logistics tools that powered faster, smarter deliveries at scale. * Led development of fleet routing tools that improved last-mile delivery efficiency by 15%, aligning ops, DS, and engineering around real-time constraints and route optimization * Drove product iteration using ops feedback, telemetry, and performance data to speed up fulfillment and reduce errors * Boosted B2B merchant retention by 15% by launching ML-optimized supply chain workflows that improved fulfillment speed and reduced delays across 20K+ merchants * Reduced recurring costs by $400K by defining KPI frameworks, product strategy, and success metrics for fulfillment and inventory models * Increased supplier efficiency by 15% by building a dynamic slotting system that leveraged data patterns to streamline scheduling and reduce waste
Product Manager
Develop for Good
2020 - 2020
Built and scaled internal analytics tools that blended ML-driven automation with self-serve insights unlocking cost savings and adoption across 30+ enterprise teams. * Drove $6M+ in annualized savings by launching internal analytics tools across 8 orgs, blending workflow automation with flexible PLG-style self-serve capabilities * Scoped product needs with data science and ops leads, defined MVPs, and drove adoption across 30+ enterprise partners via enablement loops and usage tracking * Accelerated decision-making by automating manual data pulls and enabling customizable dashboards tailored to business unit workflows
Sujoy was also given offers to work at
Match Group
Tinder
Snapchat
Capital One Shopping
JPMorgan Chase & Co.
Wayfair
Education
Stanford Graduate School of Business
Graduate Studies in Energy Engineering & International Management, Y2E2 Leadership Program
Grade: 4.0 / 4.0 Activities and societies: - Y2E2 Cleantech Scholar - International Management Cohort - Interdisciplinary Sustainability Seminars - Stanford Global Energy Dialogues Selected as 1 of 30 scholars for Stanford’s Y2E2 Cleantech Scholars Program, focused on graduate-level coursework in energy systems, sustainability, and international management. Led applied research through a joint initiative with the CIO of IBM, launching and iterating on smart city infrastructure solutions. Advised by Professor Eloi Laurent on economic indicators of well-being; authored an independent policy paper on sustainability metrics beyond GDP. Data Analysis
University of California, Berkeley
Bachelor's Degree, Economics
Dual degree with Data Science.
University of California, Berkeley
Bachelor's degree, Data Science
Part of UC Berkeley’s inaugural Data Science cohort, with a concentration in machine learning, data engineering, experimentation, design and analytics. Held leadership roles across ASUC (Chief of Staff), Capital Investments at Berkeley (Quant Dev + Analyst), and Visionary Entertainment (COO). Python (Programming Language), Data Modeling and +6 skills
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