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ai experimentation llmsπ Description
- Own strategy and roadmap for AI-powered products that matter
- Identify automation opportunities rooted in real user pain and measurable outcomes
- Turn ambiguous problems into clear product direction and requirements
- Partner with ML engineers, data scientists, and researchers on goals and data strategy
- Design and run experiments to test ideas fast and learn faster
- Define product behavior across success paths, failures, and edge cases
π― Requirements
- 7 to 10 years of product management experience shipping AI/ML products
- Deep technical intuition around ML systems including training loops, evaluation, and data pipelines
- Experience running structured experiments such as A/B tests and offline model evaluations
- A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
- Clear, compelling communication for executive, technical, and operational audiences
- Hands-on experience with LLMs, multimodal models, or applied generative AI
π Benefits
- Remote work options
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
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