Product Manager, Machine Learning Lifecycle
On-site · New York City, New York, United States
Job Summary
Lead ML platform product to accelerate the model development and deployment lifecycle, define a strategic roadmap, and drive adoption of enterprise-scale AI/ML capabilities. Collaborate with engineering, data science, client engagement, architecture, and UX teams to deliver high-impact outcomes; own the product backlog, define PRDs, communicate execution strategy to stakeholders and senior leaders, and measure success with key metrics. Leverage experience in DevOps and MLOps to streamline data connectivity, model training, serving, and governance across multiple business lines.
Required Qualifications
- 5+ years of product management or equivalent experience
- Strong background in advanced analytics, machine learning, or AI applications in a business context
- Experience with deploying and maintaining AI models; familiarity with Kubernetes, Containers, CI/CD, and DevOps
- Experience with cloud computing architectures (AWS, Azure, Google Cloud) and data platforms
- Ability to translate ambiguous needs into scalable business solutions and communicate with technical and non-technical stakeholders
- Hands-on experience with LLM solutions and AI lifecycle including data processing, model development, deployment, monitoring, and feedback
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