AD/Director - Product NFA (Gurugram)

Noise

India

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+
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Job summary

Noise is seeking a product leader to own the NoiseFit app end-to-end, not a slice of it, guiding health, fitness, wellness, engagement and connected-device features.

You’ll drive activation and onboarding for the first seven days, daily habit loops, health intelligence, and AI-driven personalization through contextual coaching and smarter recommendations.

This role shapes growth, retention and monetization as the product scales across devices and ecosystems.

Job description

About Noise

Founded in 2014 by Amit Khatri and Gaurav Khatri, Noise began with a mission to democratize connected technology for every Indian.

Today, Noise is India's #1 smartwatch brand with more than 40 million users, an expanding ecosystem of smart wearables, and Bose as a strategic investor.

We're building products that millions rely on every day and we're looking for people who want to define what the next generation of connected consumer technology looks like.

The mission

India is the world's most compelling health-tech market right now.

Your job is to build the app that meets people where they are and nudges them, delightfully, toward where they could be.

Not a feature list.

Not a dashboard.

A companion.

One they come back to tomorrow.

The problems worth solving
  • The cold-start problem for health data
  • Habit formation in a low-trust environment
  • Making health data mean something
  • India-specific health context
  • Delight as a retention mechanic, not a cosmetic
What you'll own

You’ll lead product for the entire NoiseFit app not a slice of it. That means:

Core Experience
  • End-to-end app experience across health, fitness, wellness, engagement and connected-device features.
  • Activation and onboarding the first seven days that determine whether a user stays.
  • Daily habit loopsthe features and nudges that bring someone back every morning.
  • Health intelligence layerturning raw sensor data into insights users can actually act upon.
  • AI/ML-driven personalization through contextual coaching, adaptive goals and smarter recommendations.
Growth & Business
  • Retention architecture including streaks, challenges, community and reward systems.
  • Monetization opportunities including subscriptions, premium experiences and ecosystem partnerships.
  • Experimentation culture through A/B testing, funnel analysis and rapid iteration.
  • Device-to-app experience connecting what happens on the wrist with what happens on the phone.
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