AI Product Manager: Drive AI-Driven Platform Strategy

Plasma

Irving (TX)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Micro.ai in Irving, TX is seeking an experienced AI Technical Product Manager to define the strategy, development, and delivery of AI-driven products and platforms. You will bridge business needs and technical execution to deliver measurable value and scalable solutions across industries.

You will collaborate with data scientists, ML engineers, and software developers to translate problems into technical requirements, oversee model integration, and drive performance optimization in production.

Qualifications

  • Bachelor’s or Master’s degree in a technical field.

Responsibilities

  • Define and execute AI product strategy and roadmap for AI/ML offerings.
  • Collaborate with data scientists, ML engineers and software developers to translate business needs into technical requirements.
  • Oversee AI model integration, deployment, monitoring and iteration in production.
  • Research AI/ML trends to identify opportunities for differentiation and innovation.
  • Partner with design, engineering and operations to deliver AI-driven features on schedule.
  • Develop business cases, analyze ROI, and track performance metrics such as accuracy and latency.
  • Define scalable architectures and data pipelines for enterprise/cloud/edge deployments.
  • Gather feedback from clients and stakeholders to improve model interpretability and usability.
  • Ensure governance, privacy, and responsible AI standards are met.

Skills

ML workflows
MLOps
Product lifecycle
Technical communication
Analytical thinking

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field

Job description

Micro.ai in Irving, TX is seeking an experienced AI Technical Product Manager to define the strategy, development, and delivery of AI-driven products and platforms. You will bridge business needs and technical execution to deliver measurable value and scalable solutions across industries.

You will collaborate with data scientists, ML engineers, and software developers to translate problems into technical requirements, oversee model integration, and drive performance optimization in production.

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