Related skills
mlops data pipelines llms rag vector databases📋 Description
- Define AI product vision, roadmap, and execution strategy.
- Partner with engineering, AI, data, and infra teams to deliver AI solutions.
- Drive discovery, prioritization, and go-to-market planning.
- Collaborate on model serving, orchestration, data pipelines, and evaluation.
- Translate business needs into features with measurable outcomes.
- Monitor product performance, adoption, and reliability.
🎯 Requirements
- 10+ years PM experience, including AI products.
- Strong systems design thinking and modern architectures.
- Experience driving product launches, GTM, and adoption.
- Experience with AI/ML systems (RAG, vector databases, data pipelines).
- Excellent storytelling and stakeholder management.
- Strong analytical and prioritization skills.
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