Senior Manager - Growth

What you will own: You own the path from finding a drop-off to fixing it. Nobody hands you a ticket list. CleverTap and lifecycle comms: - Own CleverTap: event tagging standards, user properties, segments, journeys, content, variant testing and campaign setup. - Build cohorts on behavior, credit profile, product holding and lifecycle stage. - Run targeted campaigns across push, SMS, WhatsApp, email and in-app. - Manage frequency caps and quiet hours so we do not push users into uninstalling or opting out. - Make sure every message follows RBI fair practices rules, TRAI DLT templates and consent, and the DPDP Act. Funnel diagnosis: - Map the main funnels end to end: install to KYC to first drawdown, first CCBP payment, first UPI transaction, and repeat use. - Find the steps where users drop off, size the loss in users and revenue, and rank which gaps to work on first. - Pull your own data with SQL and CleverTap. Do not wait on an analyst for routine questions. Fixing what you find: - Decide whether a gap needs a message, an offer, a change to the product, or a combination. - For product changes, work with design, product and engineering to ship it, and measure the result. - Run A/B tests with proper control groups. Report the change in the metric against control, not raw conversion. - Moving from manual campaigns to the personalization engine. - Turn what works in manual campaigns into rules and test designs for the engine. - Set the guardrails the engine runs within: message limits, banned combinations and compliance rules. - Read the engine's results with the data team and decide what to scale, change or stop. Must-haves: - 4 - 7 years in growth, lifecycle or product roles at a consumer app with more than 1 million monthly active users. - At least 2 years of hands-on work in CleverTap, MoEngage, WebEngage or Braze. You have built segments and journeys yourself, not just briefed someone who did. - Writes SQL without help: joins, window functions and cohort retention queries. - Has run A/B tests with holdout groups and can explain incremental lift, sample size, and why a test result might be wrong. - Has shipped at least one product change, from PRD to release, that came from their own funnel analysis. - Can point to a specific metric they moved and by how much, and explain how they know the change caused it. Good-to-haves: - Experience in lending or another regulated fintech product, especially activation and repeat drawdown for a credit line. - Has worked under RBI fair practices rules, TRAI DLT and DND, or DPDP consent rules. - Familiar with AppsFlyer or GA4, and how install source affects later behavior. - Has worked with data science on propensity or uplift models, or on deciding which message goes to which user. - Experience with rewards or loyalty programme.