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inDrive is seeking a Staff Product Manager to own the end-to-end product strategy, roadmap, and outcomes for a new Data Tasks platform. This platform enables inDrive's global user base to earn additional income by completing tasks that generate high-quality training data for AI companies.
The role involves translating data buyer requirements into scalable collection, annotation, and quality-control workflows. You will design the full product journey across both sides of the platform—enterprise buyers and task contributors—and build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling, and dataset delivery.
Key responsibilities include:
- Owning end-to-end product strategy and outcomes for the Data Tasks platform
- Designing scalable workflows that connect AI company demand with distributed data collection and labelling
- Building the complete platform journey from buyer requirements through dataset delivery
- Establishing product metrics across demand, supply, data quality, unit economics, and contributor experience
- Running discovery and experiments to improve acquisition, activation, task completion, retention, and payout experience
- Collaborating with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security, and market teams
- Ensuring the platform supports multiple data types (audio, text, images, video, multimodal) across different countries and use cases
- Defining the right balance between building internal capabilities, using external platforms, and working with specialized partners
The platform is moving from a successful partner-led pilot toward a scalable, proprietary solution.
REQUIREMENTS:
- Significant product management experience, including ownership of complex products at Staff, Principal, or equivalent level
- Proven experience building and scaling a new product or platform from early stage
- Strong systems thinking and ability to design end-to-end products involving multiple users, workflows, and operational processes
- Experience with B2B platforms, marketplaces, crowdsourcing, data products, AI/ML infrastructure, or workflow products
- Strong commercial judgement and ability to connect customer needs, product decisions, and unit economics
- Ability to work with enterprise customers and translate technical or specialized requirements into scalable product solutions
- Strong analytical skills and experience defining metrics, running experiments, and making decisions under uncertainty
- Ability to operate independently, bring clarity to ambiguity, and influence senior stakeholders without formal authority
- Fluent English with clear written and verbal communication skills
NICE TO HAVE:
- Experience with AI training data, data collection, annotation, model evaluation, or quality-assurance systems
- Experience building two-sided marketplaces or products involving distributed contributor networks
- Experience launching products across emerging markets and adapting to local payment, legal, and operational constraints
