Growth Management- User Growth I Exp- 4- 6 Years

Overview

Central Growth manager to drive measurable monetization outcomes (ARPU, engagement, category adoption) across the Paytm consumer app, with tight ROI discipline.

What you'll do

• Own app monetization outcomes: drive ARPU uplift, conversion to paid/monetized actions, repeat usage, category adoption, and engagement depth.
• Identify growth pockets across categories (e.g., RU, bill pay, commerce, travel, financial products) and scale what works.
• Build a traffic allocation strategy across app surfaces and journeys to maximize incremental ARPU and engagement.
• Partner with DS/Product to create routing/next-best-action models and run continuous optimization via experiments.
• Manage trade-offs across categories (where to push, when to hold, and how to protect user experience).
• Scale new cross-sell avenues by embedding monetization hooks in high-frequency moments.
• Improve funnel steps: message clarity, eligibility communication, UX friction reduction, and conversion rates.
• Run structured experimentation: hypothesis, design, launch, measurement, iteration.
• Establish SOPs for offer creation, approvals, tracking, rollout readiness, and post-mortems.
• Build dashboards for growth and monetization performance; own weekly business reviews and root-cause analyses.
• Drive select referral programs as a lever for incremental acquisition and retention, with clear ROI/quality guardrails.

What you'll need

• 4 to 6 years of experience in growth, product growth, monetization, category P&L, strategy and ops, or growth marketing.
• Strong grasp of unit economics (ROI, burn, CAC/CPA, payback), funnels, and cohort-based retention.
• Proven ability to scale programs through experimentation and cross-functional execution.
• Excellent stakeholder management and communication; can influence Product, Finance and DS with data and clarity.

Nice to have

• Experience in fintech, payments, consumer internet or app-led monetization ecosystems.
• Familiarity with segmentation/personalization models and lifecycle channels (push, WhatsApp, in-app).
• Strong comfort with dashboards, metrics definitions, and experiment readouts.