About this role
We are looking for a Staff Product Manager to shape this product from an early stage and lead it through validation, launch and international scale. We are building a new product that enables people across inDrive’s global user base to earn additional income by completing tasks that generate high-quality training data for AI. Following a successful pilot, we are moving from a partner-led solution towards our own scalable platform. It will connect demand from AI companies with distributed data collection and labelling, covering the full journey from buyer requirements and task design to contributor payouts, quality assurance and dataset delivery. Own the end-to-end product strategy, roadmap and outcomes for the Data Tasks platform. Translate data buyer requirements into scalable collection, annotation and quality-control workflows. Design the full product journey across both sides of the platform: enterprise buyers and task contributors. Build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling and dataset delivery. Define the right balance between building internal capabilities, using external platforms and working with specialised partners. Establish product metrics across demand, supply, data quality, unit economics and contributor experience. Run discovery and experiments to improve acquisition, activation, task completion, retention and payout experience. Work closely with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security and market teams. Ensure the platform can support multiple data types, including audio, text, images, video and multimodal data, across different countries and use cases.