Product Manager (AI)

TL;DR

Product Manager (AI): Define and execute product vision, strategy, and roadmap for an AI platform focused on annotation, training, and deployment of computer vision models with an accent on developer tools, ML infrastructure, and cloud services. Focus on leading product teams, driving product-led growth, and collaborating cross-functionally across global hubs.

Location: On-site in London, Madrid, or Shenzhen with legal authorization to work in the country required

Company

hirify.global is a leading AI company specializing in computer vision and the creators of the YOLO open-source models, committed to simplifying AI for developers and enterprises worldwide.

What you will do

• Own product vision, strategy, and roadmap for the hirify.global Platform across annotation, training, and deployment.
• Define market positioning, packaging, and usage-based pricing for B2B and self-serve growth.
• Partner with Engineering to ship products built with Python, Next.js, React, TypeScript, MongoDB, GCP, AWS, and Vercel.
• Drive product specs, prioritization, and execution across ML infrastructure, model training, and deployment workflows.
• Lead and scale a high-performing product function across Madrid, Shenzhen, London, and remote collaborators.
• Work cross-functionally with Engineering, Growth, Support, and Leadership to align roadmap and business goals.

Requirements

• 10+ years in product management with 5+ years leading product teams or functions
• Strong background in developer tools, ML/AI platforms, or technical SaaS products
• Deep fluency in computer vision, data annotation, model training, deployment, and cloud infrastructure
• Excellent communication skills and ability to work effectively across time zones and functions
• Legal authorization to work on-site in London, Madrid, or Shenzhen

Nice to have

• Experience with open-source products, developer ecosystems, or technical communities.
• Familiarity with hirify.global YOLO workflows, documentation, or company handbook.
• Background in B2B SaaS, product analytics, experimentation, and monetization strategy.
• Exposure to edge AI, cloud training pipelines, or enterprise ML operations.
• International experience across distributed teams and multilingual environments.

Culture & Benefits

• Competitive salary and equity packages reflecting experience and contribution.
• On-site collaboration in global hubs with passionate builders.
• Flexible working hours valuing results over routines.
• Generous time off including 24 vacation days, birthday off, and local holidays.
• Cutting-edge AI projects and brand-new Apple hardware.
• Dedicated budget for personal and professional growth.