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Product Manager with AI/ML

JPS Tech Solutions

 

Atlanta, Georgia, USA

Posted On: 30+ days ago
Experience: 8+ years
Availability: Onsite
Openings: 1
Category: Product Manager
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities

  • Define and execute the product strategy and roadmap for DevOps, Cloud, and AI/ML solutions.
  • Gather customer and stakeholder requirements to identify product enhancements and new feature opportunities.
  • Collaborate with Engineering, Design, Data Science, and DevOps teams to define product requirements and prioritize features.
  • Conduct market research, competitive analysis, and technology trend assessments.
  • Manage the complete product lifecycle from ideation through development, launch, and continuous improvement.
  • Define and monitor KPIs to measure product success and drive data-driven decisions.
  • Drive the adoption of DevOps practices, CI/CD automation, and cloud-native deployment strategies.
  • Partner with AI/ML teams to deliver intelligent products leveraging machine learning and generative AI capabilities.
  • Ensure timely delivery of high-quality products using Agile/Scrum methodologies.

Required Skills

  • 8 years of experience in Technical Product Management.
  • Strong understanding of DevOps, Cloud Computing, and AI/ML technologies.
  • Hands-on knowledge of AWS, Azure, or Google Cloud Platform (GCP).
  • Experience with CI/CD pipelines, Docker, Kubernetes, and cloud-native architectures.
  • Familiarity with AI/ML concepts, including data pipelines, model training, deployment, and lifecycle management.
  • Strong experience in product roadmap planning, feature prioritization, and stakeholder management.
  • Excellent analytical, problem-solving, and data-driven decision-making skills.
  • Strong verbal and written communication skills with the ability to communicate technical concepts to diverse audiences.
  • Experience working in Agile/Scrum environments.

Preferred Qualifications

  • Cloud certifications such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or Microsoft Azure certifications.
  • Kubernetes certifications such as Certified Kubernetes Administrator (CKA).
  • Experience with AI/ML frameworks including TensorFlow, PyTorch, or Scikit-learn.
  • Previous experience in a startup or fast-paced technology environment.
  • Knowledge of product analytics, customer discovery, and AI-driven product development

Education

Bachelor's degree

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