Muralidhar Dhanakshirur
@muralidhardhanakshir
Head of Product building data-driven growth and personalized AI experiences.
What I'm looking for
I’m a product leader focused on building customer-centric experiences and measurable growth, from AI-powered tutoring to large-scale marketplace products.
At Zap AI, I’m the Head of Product, iteratively developing an LLM-based personalized AI tutor for spoken fluency that adapts to users’ skills, simulates real-life conversations, and delivers instant learning feedback.
Previously at Uber (through Careem), I served as Director of Product for Ride Hailing globally, owning product lines contributing ~US$2B in annual revenue. I led Senior PMs and a cross-functional team of 41 across engineering, design, and analytics, improving ride reliability by ~5pp and launching growth bets like School Rides to ~US$1M ARR in two quarters.
I’ve also delivered high-impact pricing and marketplace outcomes across Amazon Prime Video, Deliveroo, Swiggy, and Dailyhunt—combining data science, experimentation, and platform architecture (Hive, Flink, Elasticsearch, Superset) to drive profitability, personalization, and operational efficiency.
Experience
Work history, roles, and key accomplishments
Head of Product
Zap AI
Jan 2024 - Present (2 years 4 months)
Led product development of an LLM-based AI tutor that improves spoken English fluency by adapting to users’ skills, simulating real-life conversations, and delivering instant learning feedback through iterative product updates.
Owned global ride-hailing product lines supporting Careem (fully owned by Uber) and led teams of Senior PMs and 41 cross-functional members, driving product work contributing to ~$2B in annual revenues. Improved ride reliability by ~5pp and launched initiatives including School Rides in Dubai, reaching ~US$1M ARR in two quarters.
Senior Product Manager (Technical)
Amazon Prime Video
Sep 2022 - Jan 2023 (4 months)
Led user acquisition and growth product charter with a focus on data science and personalization to improve customer growth performance.
Staff Product Manager (Consumer Pricing)
Deliveroo
Sep 2021 - Jun 2022 (9 months)
Delivered ~US$40M P&L impact by optimizing consumer pricing levers across 8 countries and led cross-functional initiatives to improve pricing efficiency. Defined a framework for automating pricing to enable faster execution of pricing changes.
Principal Product Manager (Marketplace)
Swiggy
Feb 2019 - Jun 2021 (2 years 4 months)
Managed a marketplace product portfolio and led a team of Senior PMs with 25 cross-functional members across product management, data science, analytics, and design, delivering ~US$100M annual P&L impact. Reduced order delivery times by ~18% through improved delivery fleet efficiency and improved restaurant selection by ~5pp via demand shaping.
Associate Director, Product Management
Dailyhunt
Sep 2015 - Feb 2019 (3 years 5 months)
Owned data platforms end-to-end, including in-app data instrumentation and internally generated data, and built near-real-time analytics and reporting capabilities using Hive, Flink, Elasticsearch, and Superset. Led a newsfeed recommendations pivot from CTR/pageviews to time spent, delivering a 2X improvement in engagement (from ~13 to ~26 minutes per user per day).
Worked on strategy consulting engagements for leading financial institutions across the USA, Europe, Australia, and Japan, authoring thought leadership papers on financial market structure and regulation. Was quoted in major international media including The Wall Street Journal, Financial Times, Dow Jones Newswires, Wall Street Letter, and HFReview.
Built software within the QuickBooks Software Development Kit (SDK) using C++ and C# as part of the SDK layer.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Management Ahmedabad
Post Graduate Diploma in Management (PGDM), Data Science & Modeling
Grade: A (Advanced Methods in Data Analysis)
Completed a Post Graduate Diploma in Management (PGDM), equivalent to an MBA, with a focus on data science and modeling. Earned an 'A' grade in the 'Advanced Methods in Data Analysis' course.
Indian Institute of Technology Madras
Bachelor of Technology (B.Tech), Computer Science & Engineering
Grade: A (thesis recognition)
Activities and societies: Thesis: Segmentation by Feature-Point Clustering Using Optical Flow (Computer Vision Lab).
Earned a Bachelor of Technology (B.Tech) in Computer Science & Engineering from IIT Madras. Thesis work was recognized with an 'A' grade for a novel approach to video segmentation.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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