Shape and lead an early-stage Data Tasks platform through validation, launch and international scale. The platform connects AI companies with distributed data collection and labelling, including task design, contributor payouts, quality assurance and dataset delivery.
Responsibilities:
- Own product strategy, roadmap and outcomes.
- Design scalable collection, annotation and quality-control workflows, and end-to-end experiences for enterprise buyers and task contributors.
- Build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling and dataset delivery.
- Set product metrics for demand, supply, data quality, unit economics and contributor experience; run experiments to improve acquisition, activation, completion, retention and payouts.
- Work with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security and market teams.
- Support audio, text, image, video and multimodal data across countries and use cases.
Requirements:
- Significant product management experience owning complex products at Staff, Principal or equivalent level, including building and scaling a product or platform from an early stage.
- Strong systems thinking and experience with B2B platforms, marketplaces, crowdsourcing, data products, AI/ML infrastructure or workflow products.
- Commercial judgement, analytical skills, experience defining metrics and running experiments, and ability to work with enterprise customers and influence senior stakeholders.
- Fluent English with clear written and verbal communication.
Nice to have: Experience with AI training data, data collection, annotation, model evaluation, quality-assurance systems, two-sided marketplaces, distributed contributor networks, or launching products in emerging markets.
Benefits: Mentoring, career consulting, learning programs, international collaboration, company activities and co-financed language courses. Annual salary from 90 700 EUR gross; final benefits may vary by location.