Sr. AI Product Manager - Key Components

Super Micro Computer, Inc.San Jose, CA
50d

About The Position

Senior AI Product Manager with strong experience in AI/ML software products across multiple platforms (cloud, edge, and enterprise). The ideal candidate has a deep understanding of AI technologies, model lifecycle management, and platform integration. You will own the product strategy, roadmap, and execution for AI software solutions that empower developers, data scientists, and enterprise users.

Requirements

  • 8+ years of product management experience, with at least 3 years in AI or ML product domains.
  • Proven track record in delivering AI/ML-driven software across multiple platforms.
  • Experience collaborating with cross-functional technical teams and understanding AI lifecycle workflows (data, training, deployment, inference).
  • Strong understanding of AI/ML concepts (LLMs, NLP, generative AI, MLOps).
  • Exceptional communication and leadership skills.
  • Ability to translate complex AI concepts into business value.
  • Strong analytical and strategic thinking.

Nice To Haves

  • Familiar with Python, TensorFlow, PyTorch, or other ML frameworks (a plus).
  • Knowledge of cloud services (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes).

Responsibilities

  • Lead Product Strategy: Define and drive the vision, strategy, and roadmap for AI software products across all platforms (web, mobile, API, and edge).
  • Cross-Platform Execution: Ensure seamless AI capabilities across different operating systems and deployment environments (AWS, Azure, GCP, on-prem).
  • User-Centric Design: Collaborate with UX, engineering, and research teams to create intuitive AI experiences and developer tools.
  • AI Integration: Work with ML engineers and data scientists to productize AI models, including LLMs, computer vision, NLP, and predictive analytics.
  • Stakeholder Management: Partner with internal and external stakeholders, including engineering, research, marketing, and customers, to align product goals.
  • Market and Competitive Analysis: Stay ahead of AI market trends, evaluate emerging technologies, and translate insights into actionable plans.
  • Data & Metrics: Define success metrics and analyze product performance to guide iterations and improve user satisfaction.
  • Compliance & Ethics: Ensure responsible AI development aligned with data privacy, fairness, and transparency standards.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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