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Product Manager with 6+ years in AI & Platform Product Management
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product Manager with 4+ years of experience building AI/ML-enabled SaaS and platform products from 0→1. Experienced in designing workflow automation systems, data platforms, and Al-assisted service delivery products. Proven ability to translate complex operational problems into scalable platforms by working closely with engineering, design, and data science teams. Strong background in product strategy, platform architecture, and automation-driven efficiency improvements.
IMT Ghaziabad
MBA · Marketing
June 1, 2019 – April 1, 2021
Maharaja Agrasen Institute of Technology, GGSIPU
B.Tech · Information Technology
August 1, 2015 – May 1, 2019
EZ Lab
Product Manager – AI & Platform
September 1, 2024 – Present
Gurgaon, Haryana, India
Darby Telematics
Associate Product Manager – Data & AI Platforms
March 1, 2023 – September 1, 2024
Bengaluru, Karnataka, India
PalateMKT
Product Manager
July 1, 2022 – March 1, 2023
Delhi, Delhi, India
ArcelorMittal Nippon Steel India
Digital Transformation Associate
August 1, 2021 – June 1, 2022
Mumbai, Maharashtra, India
Cultural Fit Analysis
The candidate's diverse experience across AI/Platform, Data & AI Platforms, and Digital Transformation roles in different industries (service delivery, telematics, consumer mobile, manufacturing) indicates adaptability and a broad perspective. Their involvement in 0->1 product development and scaling initiatives suggests an innovative and growth-oriented mindset. The consistent focus on leveraging technology (AI, ML, data platforms) to solve business problems and drive efficiency aligns with a forward-thinking and impact-driven culture. The target role of Product Manager aligns perfectly with their recent experience and career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership in managing cross-functional teams and driving product development from conception to scaling. Their experience in defining and tracking OKRs/KPIs indicates a data-driven and results-oriented approach. The ability to translate complex operational problems into scalable solutions suggests strong problem-solving and strategic thinking. The descriptions highlight collaboration with engineering and design, indicating good teamwork and communication skills. The focus on efficiency improvements and automation aligns well with operational excellence.