Senior Product Manager, AI-Native Products
Own the strategy, roadmap, and end-to-end delivery of an AI-native product surface, using customer insight, experimentation, and AI expertise to drive adoption, quality, and commercial readiness.
Novakid is a global leader in online English education for children aged 4β12, serving 100,000+ students across 50+ countries. As Senior Product Manager for Monetization & Expansion, you will own how existing Novakid families discover and buy additional courses, products and services, and be fully accountable for the product metrics behind them, including added revenue and ARPU.
Your goal is to turn the Parent Area and other in-product touchpoints into a scalable self-service channel for add-ons and upgrades. You will own the product, offer, pricing and experimentation decisions that drive results, supported by our Revenue Growth Lead across Sales and CRM.
Senior Product Manager β Monetization & Expansion
Focus: Parent Area, Add-ons & Upgrades, Purchase Journeys, Monetization Experiments
What youβll do
Work with a team of designers and developers (with access to analytical and research resources).
Own the roadmap for the Parent Area as a storefront for add-ons and upgrades: placement, merchandising, pricing visibility and one-tap purchase.
Improve purchase, upgrade and win-back journeys to lift conversion from offer view to paid.
Build configurable catalogue, bundling, pricing and promo logic so new offers launch without engineering effort each time.
Run the experimentation programme for offers, bundles and pricing, with clear guardrails on retention, refunds and parent satisfaction.
Define the product events and eligibility signals that power in-app nudges and CRM segments.
Work with Content and Pedagogy to discover, validate and launch new paid products that children learn from and parents value.
Adapt flows by market, balancing self-service and manager-assisted buying and local pricing conditions.
Own the strategy, roadmap, and end-to-end delivery of an AI-native product surface, using customer insight, experimentation, and AI expertise to drive adoption, quality, and commercial readiness.
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