Location
Bangalore
Reporting to
Director - Product Management
About The Function
Ground Transport is one of the fastest growing businesses at MakeMyTrip, serving millions of travellers across Bus, Rail and Cab journeys. The business plays a critical role in expanding travel accessibility across India, particularly in Tier 2 and Tier 3 cities, while delivering seamless, affordable and reliable mobility experiences.
Role
Product Management
Level
RL4
About The Role
We are looking for a Product Manager to define and scale the next generation of consumer experiences across Ground Transport. This role requires strong product thinking, execution excellence and a passion for solving customer problems through technology, data and AI.
You will own the product vision, roadmap and execution for key Ground Transport experiences, working closely with cross-functional teams to build products that improve customer engagement, conversion, retention and overall traveller satisfaction.
You Will Operate At The Intersection Of
- Consumer Product + Growth + Data Science + AI-powered Experiences
- 0-to-1 Innovation and 1-to-N Scaling
- Customer Understanding + Data-Driven Decision Making
- You will identify high-impact opportunities, rapidly validate solutions, and scale products that create measurable value for both customers and the business.
What You'll Be Doing
- Define and execute the product vision, strategy and roadmap for key Ground Transport customer experiences.
- Identify high-impact customer and business problems across discovery, booking and traveller engagement journeys, and translate them into scalable product opportunities.
- Build AI-powered and data-driven experiences that improve trip planning, booking confidence and personalization.
- Drive rapid experimentation, prototyping and validation of new concepts before scaling them into production-ready products.
- Partner closely with Engineering, Design, Business, Analytics and Data Science teams to build accurate, scalable and impactful solutions.
- Define clear hypotheses, success metrics and measurement frameworks for product initiatives.
- Own product KPIs and continuously improve performance through experimentation, customer feedback and data analysis.
- Leverage customer insights, behavioural data and market intelligence to shape product strategy and prioritization.
- Balance short-term business goals with long-term platform and product investments.
- Lead end-to-end execution from concept to launch and post-launch optimization.
What You Are Required to Bring to the Team
- A passion for solving complex customer problems through technology, data and innovation.
- Strong product thinking with the ability to translate ambiguous business challenges into structured product solutions.
- Deep curiosity about emerging ML and GenAI capabilities and their application in creating superior customer experiences.
- Strong analytical mindset with the ability to work with large datasets and make data-driven decisions.
- Good understanding of technology systems and how technical decisions influence product outcomes and scalability.
- Ability to influence and collaborate effectively across business, engineering, design, analytics and leadership teams.
- High ownership mindset with the ability to independently drive initiatives from ideation to execution.
Qualifications & Experience
- Engineering & Management graduates from reputed institutes with 3 to 4 years of experience in product management roles for consumer-facing, technology-enabled businesses.
- Experience managing the complete product lifecycle using agile methodologies including requirement definition, prioritization, user experience design and metric tracking.
- Experience working with complex datasets using analytical tools and techniques. Proficiency in Excel, PowerPoint and SQL is expected.
- Prior experience with product analytics tools such as Google Analytics, Adobe Analytics, Amplitude or Mixpanel will be an added advantage.
Nice to Have
- Experience in travel, mobility, e-commerce or marketplace businesses.
- Exposure to ML or GenAI-powered customer experiences.
- Experience with personalization, recommendation systems or conversational interfaces.
- Experience working with large-scale consumer products serving millions of users.