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Wynd Network builds infrastructure that delivers massive amounts of web data to companies training the world's most powerful AI models. The company operates Grass, a bandwidth-sharing network powering a massive distributed crawler with unique access to high-quality public web data at global scale. Wynd has also built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files to power dataset creation for frontier AI labs.
As a hands-on, technically strong Product Manager, you will work directly with engineering and leadership in a small, highly technical team. You will drive product initiatives from concept to launch and shape the direction of the company's data infrastructure and AI products. This is a high-ownership role for someone who thrives in ambiguity, moves fast, and enjoys building from the ground up.
Key responsibilities include:
- Define product priorities, shape the roadmap, and drive projects from concept to launch
- Partner directly with engineering and leadership to define requirements, align priorities, and deliver solutions
- Identify product opportunities across web data infrastructure, data pipelines, and AI-related products
- Balance technical feasibility, business impact, and speed when making product decisions
- Measure product performance and use insights to guide continuous improvement
The team is lean, technical, and moves fast with no red tape or slow decision-making. You will need a work schedule that overlaps sufficiently with EST business hours to collaborate effectively.
Requirements:
- Bachelor's degree or equivalent work experience
- Proven experience building and shipping technical products, ideally from scratch or in early-stage environments
- Strong understanding of APIs, infrastructure, data systems, or distributed architectures, with the ability to translate technical needs into actionable product requirements
- Experience defining roadmaps and prioritizing work using data, with a record of delivering measurable results
- Nice to have: Experience with AI/ML infrastructure, data platforms, developer tools, or web-scale technologies
