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Associate Product Manager

Job in 242221, Gurugram, Uttar Pradesh, India
Listing for: tap health
Full Time position
Listed on 2026-06-16
Job specializations:
  • Education / Teaching
    Digital Marketing
Job Description & How to Apply Below
Position: Associate Product Manager - Growth . 1-3 years exp
Role:
Associate Product Manager - Growth

Experience:

1 to 3 years
Type:
Full-time

Location:

Gurgaon, work from office
Joining time:
Less than 15 days

About Tap Health

Tap Health is an AI native healthtech startup that manages chronic conditions like diabetes between doctor visits.

We have developed and launched one of the world's advanced, fully Autonomous digital therapeutic for diabetes that provides continuous, AI-orchestrated diabetes care without human intervention, aligned to clinical rules. It analyses user data to predict glucose patterns, behaviour and adherence risk, then delivers real-time, personalised guidance on meals, glucose, stress, activity and sleep. The same engine extends to other chronic conditions in India and beyond.

www.tap.health

Role Overview :
Associate Product Manager - Growth

We are hiring an Associate Product Manager - Growth to own Tap Health's acquisition, activation, retention and revenue levers end to end. You will design and ship high-impact experiments across onboarding, paywalls, pricing, referral loops, lifecycle journeys and landing pages. You will work closely with engineering, design, data and marketing to create compounding growth and a habit-forming product experience.

This is a product role focused on measurable outcomes. You will use data, fast iteration and sharp UX to move the metrics that matter.

Key Responsibilities

Your primary responsibility is to deliver user and revenue growth. To achieve this, you will own the following work streams:
Acquisition and Top-of-Funnel
Improve conversion from impression to install to signup across web, app stores and in-app entry points
Lead experiments on landing pages, app store assets, SEO and ASO to lift CVR
Design and scale referral programs and growth loops using Tap Score, streaks and quests
Partner with marketing on creative, channel mix and spend efficiency
Activation and First Value
Define activation criteria and leading indicators for each segment
Ship onboarding, checklists and sample experiences that reduce time to first value
Optimise Whats App flows and lead capture to boost Day 0 and Day 1 activation
Retention and Habit Formation
Collaborate with DTx and Game Engine teams to turn daily actions into streaks, XP and level-ups
Build lifecycle journeys across push, email, in-app and Whats App with behavioural triggers
Improve D7 and D30 retention and reduce churn through systematic experimentation
Monetisation and Pricing
Own paywalls, trials, pricing, bundling and microtransactions
Lift conversion to paid, renewal rate and ARPU through clear hypotheses and tests
Run targeted offers and promotions with guardrails for margin and LTV
Experimentation and Analytics
Maintain a prioritised experiment backlog with hypotheses, power and success metrics
Define event schemas and tracking with engineering; validate data quality
Build dashboards for CAC, LTV, cohort retention and payback; drive weekly reviews and post-mortems
Cross-Functional Execution
Write crisp PRDs and tickets; ensure fast, high-quality delivery with engineering and design
Partner with data science on segmentation, propensity scoring and churn risk models
Support B2B2C and partnership funnels with the right user flows and integrations

Qualifications and Skills Qualifications and Skills

1 to 3 years in product, growth or marketing operations in consumer tech; D2C or digital health is a plus
Hands-on with tools such as Mixpanel, GA4, Firebase, Post Hog, Clevertap, MoEngage, Web Engage or similar
Strong grasp of funnels, attribution, cohort analysis, A/B testing and lifecycle marketing
Comfortable working with engineers and data teams to define events, APIs and automation logic
Proficiency in SQL or spreadsheets for ad hoc analysis and experiment readouts
Experience or interest in AI-driven personalisation, predictive motivation or behavioural segmentation is a plus
Ownership mindset, clear communication and bias to ship in fast-paced environments
Position Requirements
10+ Years work experience
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