Rishabh Jain

Product Manager

Bengaluru, Karnataka, India10 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of AI-driven marketing platform at Amazon.
Achieved 10% cost savings while maintaining campaign impact.
Expert in predictive modeling and data-driven decision making.

Stackforce AI infers this person is a Senior Product Manager in MarTech with strong expertise in AI-driven solutions.

Contact

Skills

Core Skills

Product ManagementMachine LearningData AnalysisData Science

Other Skills

AI/MLAnalyticsBig DataBusiness DevelopmentData ModelingData StructuresDeep LearningGamificationMicrosoft ExcelMicrosoft PowerPointMicrosoft WordNLPNatural Language Processing (NLP)OptimizationPredictive Modeling

About

’m a Senior Product Manager - Tech at Amazon, leading the development of Maestro — an autonomous marketing platform that helps optimize incentivized campaigns across emerging marketplaces (India, Brazil, Mexico, MENA, Singapore, and Australia).Maestro uses AI/ML to make marketing smarter: it figures out the best combination of customer rewards and actions (like “10% off on mobile purchases”) to drive long-term business growth. Marketers simply set their goals, budget, and target audience — and Maestro handles the rest. Through this innovation, we’ve delivered 10% direct cost savings while maintaining the same impact, driving efficiency at scale.Before joining Amazon, I spent 4.5 years in consulting with McKinsey & Company and EXL Analytics, helping clients unlock value through data-driven decision-making. My experience spans predictive modeling, NLP, optimization, and recommendation systems across industries including retail, supply chain, banking, and manufacturing.

Experience

Amazon

2 roles

Senior Product Manager

Promoted

Jan 2022 – Present · 4 yrs 2 mos · On-site

Product ManagementAI/MLData Analysis

Senior Business Intelligence Engineer

Mar 2021 – Jan 2022 · 10 mos · On-site

Helped team in building and scaling gamification elements for A.in shopping experiences to drive customer long-term settlement by improving customers' app proficiency, inciting endowment effect through gamified rewards, and improving their visit frequency.
Helped team in expanding these gamification elements to emerging markets like LATAM, Middle East, etc.
Build an incremental causal model to measure the goodness of upper funnel initiatives on long-term cash flow and short-term purchase frequencies
Delivered a ML based product which recommend the personalised spend to customers based on their propensity to react by working under business constraints like budget and efficiency (Expense as a ratio of increment revenue). This model is currently working in IN marketplace and we are adapting the model to work for other emerging markets.
Optimised Amazon owned trailers utilisation in NA and CA region by building and consistent improving Trailer Re-route optimiser (TRO) which minimises empty legs in the supply chain by working under several business constraints, resulted in an annual savings of $15 to $20 MM.

GamificationMachine LearningPredictive ModelingData Analysis

Mckinsey & company

2 roles

Senior Data Scientist

Promoted

May 2020 – Feb 2021 · 9 mos

Empowering clients to make decisions based on historical data and solve many challenges. Developed expertise in manufacturing and retail industries. Playing a pivotal role to deliver sustainable impact to the client by exceptional problem solving, communication, and analytics skills.

Data SciencePredictive ModelingAnalytics

Data Scientist

Sep 2018 – May 2020 · 1 yr 8 mos

Helped few major global petrochemicals, manufacturing and retail banking clients in realizing the power of analytics and educate them to build the capability for long-lasting impact.

Data ScienceAnalytics

Exl

3 roles

Senior Consultant

Jul 2018 – Oct 2018 · 3 mos

Consultant II

Sep 2017 – Jun 2018 · 9 mos

I am involved in multiple streams including capability development, recruitment and analytics. My role with EXL revolves around interviewing candidates for machine learning, training new recruits, showcasing capability to the prospect clients and building analytical products for retail space. My current project involves around building an algorithm/product for user behavior analysis using deep learning on tensorflow. I have also worked on other NLP based models for multiple short duration projects.

Machine LearningDeep LearningNLP

Consultant

Sep 2016 – Sep 2017 · 1 yr

I worked in the Retail and Media vertical of EXL Analytics as a consultant. My work involved understanding and identifying the client issues and subsequently creating data-driven solutions to tackle them. I spend most of my time using R / Python & SQL to create predictive / recommendation models or Excel & Powerpoint to create pilot products.

Predictive ModelingData AnalysisRPythonSQL

B.tech thesis

Weighted Portfolio using Smart Beta

Jul 2015 – May 2016 · 10 mos · New Delhi Area, India

Speculated China's slump affect on emerging & developed markets by correlating respective indices to MSCI index
Collated Smart Beta ETDs with Moody's 5 star Mutual Funds by Rolling Returns; Smart Beta ETFs outperformed
Contrived a weighted portfolio using Smart beta selection strategy & Markovitz's Model to compare with SENSEX