AI Product Manager: Shape Strategy, Deliver Scalable AI

Plasma; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Micro.ai in Irving, TX is seeking an experienced AI Technical Product Manager to lead the strategy, development, and delivery of AI-driven products for automation, IoT, and digital transformation. You will bridge business needs and technical execution to deliver measurable value and scalable solutions.

You will collaborate with data scientists, ML engineers, and software teams to define roadmaps, drive model deployment, monitor performance, and ensure responsible AI practices across initiatives.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field.
• 2-5+ years of experience in AI, ML, data-driven product development, or technical product management.

Responsibilities

• Drive AI Product Strategy: Define and execute the product vision and roadmap for AI and ML offerings.
• Translate business problems into technical requirements and ensure successful model deployment, monitoring, and iteration.
• Collaborate with data scientists, ML engineers, and software developers to deliver scalable AI-driven features.
• Assess market trends and opportunities to differentiate our AI solutions.
• Define data pipelines, cloud/edge infrastructure considerations for scalability.

Skills

ML product management

Cross-functional collaboration

MLops basics

Strategic planning

Education

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

Job description

Micro.ai in Irving, TX is seeking an experienced AI Technical Product Manager to lead the strategy, development, and delivery of AI-driven products for automation, IoT, and digital transformation. You will bridge business needs and technical execution to deliver measurable value and scalable solutions.

You will collaborate with data scientists, ML engineers, and software teams to define roadmaps, drive model deployment, monitor performance, and ensure responsible AI practices across initiatives.