MakeMyTrip Hiring for Product Management – Flights at Gurgaon, Haryana, India Full Time

Level: Assistant Manager

Reporting To: Associate Director – Product Management

Location: Gurgaon / Bangalore

About The Function

Being the largest online travel aggregator in India, we see a sizeable number of users coming to the app and transacting every day. The flights unit offers an unmatched booking experience to this large user base, with the widest range of flight options, best in industry pricing, exciting offers and a seamless booking flow across both domestic and international flights. This is complemented by a world class post booking experience, be it through the numerous self-help features on the app or through our hand-picked executives who strive to deliver customer delight every step of the way. Flights team has a strong innovation mindset and has time and again launched industry first features that make the booking experience truly delightful.

The flights business takes pride in its team members who help champion the best experience for our users every day. An orchestra of product managers, technical development teams, designers, researchers, revenue managers, category and supply teams ensure that we stand out as leaders in the industry

About The Role

This role offers a unique opportunity to drive innovation at the heart of one of India’s most dynamic travel segments—Domestic Flights. As a Associate Product Manager (APM) on the Go-MMT Flights team, you’ll be part of a high-impact product organization that shapes how millions of Indians discover and book flights every day.

You’ll work closely with cross-functional teams—including Engineering, Design, Business, Supply, Data Science, and Marketing—to uncover insights, define high-impact problems, and deliver features that elevate user experience, accelerate growth and revenue, and set us apart in a highly competitive market.

This role is perfect for data-driven, user-obsessed product thinkers who are energized by the possibilities of behavioural science, data, automation, and AI.

What Will You Be Doing

• Owning funnel metrics end-to-end, identifying friction points, drop-offs, and opportunities for conversion and engagement growth.
• Defining product goals, shaping features, and running experiments in partnership with cross-functional teams.
• Collaborating with product managers, engineers, designers, business, marketing, supply, and data science teams to co-define problem statements, prioritize product bets, and quantify impact.
• Building user-facing features that enhance discovery, comparison, and booking journeys.
• Developing products that deliver meaningful value to users while driving growth and revenue at scale.
• Translating complex data and feedback into actionable product decisions.
• Identifying, analyzing, and interpreting trends or patterns from complex data sets.
• Leveraging Gen AI and automation to unlock new experiences and scale improvements.
• Monitoring market trends and competitive benchmarks.
• Defining success metrics, running A/B tests, and iterating based on impact.
• Communicating insights and progress through clear, compelling storytelling.

Qualification & Experience

• Engineering or Management graduate from reputed institute with 1 to 3 years of experience in product management role for a consumer facing, technology enabled business/product.

Key Success Factors for the Role

• Ability to work with structured and unstructured data, connecting the dots to uncover what users want—even when they don’t explicitly say it.
• Strong product intuition backed by analytical rigor and a user-first mindset.
• Excellent communication, stakeholder alignment, and product thinking—not just answering “what,” but consistently asking “so what?”
• Exposure to hypothesis testing and experiment design.
• Strong ownership mindset—we expect you to challenge the status quo and bring a clear point of view.
• Bias for action and the ability to thrive in fast-paced, ambiguous environments.
• Proven ability to work with data; comfortable using SQL and Excel.
• Experience with Gen AI tools, prompt engineering, or NLP models is a strong plus