SUBHADEEP BHATTACHARJEE

Product Manager

https://talent.gravityer.com/subhadeep-bhattacharjee

Key Strengths

Deep expertise in AI/ML Product Management, including NLP, recommendation systems, personalization, and LLM systems.
Proven track record of driving significant, quantifiable product outcomes (e.g., 38pp lift in intent accuracy, 69% engagement growth, 25% retention uplift).
Strong command of experimentation (A/B testing, hypothesis testing) and data-driven decision-making (SQL, Amplitude, Mixpanel, cohort analysis).
Experience with MLOps concepts, real-time model serving, feature store design, and model governance.
Demonstrated ability to lead 0-1 product development, author PRDs, and manage GTM strategies with full end-to-end ownership.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

AI-native Product Manager with 5+ years of end-to-end ownership across production ML systems, real-time personalisation engines, and consumer-scale platforms. Delivered an Indic-language NLP pipeline at IIT Madras — lifting intent accuracy from 55% to 93% through hypothesis-driven A/B calibration, feature re-engineering, and evaluation framework redesign — directly equivalent to champion-challenger model governance and production AI ownership. Led feed personalisation at ShareChat across 10+ language markets, translating Amplitude signals into algorithm decisions that drove 69% engagement growth. Fluent in ML evaluation (AUC, precision/recall, drift detection), feature store design, MLOps lifecycle, RAG systems, agentic architectures, multi-armed bandits, and AARRR funnel analytics. Bias for action, first-principles rigour, ship-to-learn mentality.

Top Skills

Vertex AiModel Governance

Education

University of Kalyani

Bachelor of Arts (BA)

N/A – Present

WB University of Teachers' Training

B.Ed (Teacher Education)

N/A – Present

Experience

MyUni

Founding Product Manager - AI Personalisation & Platform

March 1, 2026 – Present

India

AI4Bharat IIT Madras

Product Manager - AI/ML & LLM Systems

July 1, 2024 – February 1, 2026

Chennai, Tamil Nadu, India

Fidel Softech

Product Manager - Analytics & Retention

February 1, 2024 – June 1, 2024

India

ShareChat

Product Manager - Feed Personalisation & Growth

July 1, 2021 – January 1, 2024

Bengaluru, Karnataka, India

Pepper Content

Product Manager - Engagement, Notifications & AI Sequencing

January 1, 2020 – June 1, 2021

Mumbai, Maharashtra, India

Certifications

AI Product Management Launchpad

Airtribe

January 1, 2024 – Present

Agile Methods for UX

IxDF

January 1, 2024 – Present

AI for Designers

IxDF

January 1, 2024 – Present

Data-Driven Design

IxDF

January 1, 2024 – Present

Design Thinking

IxDF

January 1, 2024 – Present

Journey Mapping

IxDF

January 1, 2024 – Present

User Research Methods

IxDF

January 1, 2024 – Present

Key Strengths

Deep expertise in AI/ML Product Management, including NLP, recommendation systems, personalization, and LLM systems.
Proven track record of driving significant, quantifiable product outcomes (e.g., 38pp lift in intent accuracy, 69% engagement growth, 25% retention uplift).
Strong command of experimentation (A/B testing, hypothesis testing) and data-driven decision-making (SQL, Amplitude, Mixpanel, cohort analysis).
Experience with MLOps concepts, real-time model serving, feature store design, and model governance.
Demonstrated ability to lead 0-1 product development, author PRDs, and manage GTM strategies with full end-to-end ownership.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates an excellent cultural fit for a dynamic, AI-focused product organization. Their experience spans various company stages (startup, lab, established tech), indicating adaptability. The consistent focus on AI/ML, data-driven decision-making, and user-centric design aligns with modern tech culture. Their work with Indic languages and regional users highlights an understanding of diverse user needs and global market expansion, which is valuable for inclusive product development. The certifications further underscore a commitment to continuous learning and staying current with industry best practices in AI, Agile, and UX.

Soft Skills & Operational Fit

Exhibits strong leadership and cross-functional collaboration skills, managing squads and stakeholders effectively. Demonstrates a "bias for action, first-principles rigour, ship-to-learn mentality," indicating a proactive and analytical approach. Highly data-driven and outcome-oriented, consistently tying initiatives to key metrics (OKRs, AARRR funnel, D7/D30 retention). Adept at problem reframing and hypothesis-driven development, particularly in complex ML environments. Strong communication skills evident in detailed, impact-focused resume descriptions.