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Information Technology 🏢 Full Time ⭐️ Verified

AI Product Manager

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution. We're seeking an innovative AI Product Manager to architect solutions for 2026 and beyond. In this pivotal role, you'll bridge cutting-edge AI research with market-ready products, transforming how industries leverage artificial intelligence. Our Austin-based team operates at the intersection of machine learning and human-centric design, offering unparalleled opportunities to shape the future of autonomous systems, predictive analytics, and generative AI applications.

Responsibilities

  • Define product vision and roadmap for AI-powered solutions targeting 2026 market needs
  • Collaborate with cross-functional teams (engineers, data scientists, UX designers) to deliver AI prototypes
  • Translate complex technical capabilities into compelling user stories and business requirements
  • Conduct market research and competitive analysis to identify emerging AI trends
  • Develop KPIs and success metrics for AI product performance
  • Lead agile development cycles and ensure timely product launches
  • Present product strategy to executive stakeholders and investors

Qualifications

  • 5+ years product management experience with AI/ML products
  • Proven track record launching AI solutions in enterprise markets
  • Expertise in machine learning frameworks (TensorFlow, PyTorch) and NLP
  • Strong analytical skills with data-driven decision-making abilities
  • Experience with agile methodologies and product lifecycle management
  • Excellent communication skills for technical and non-technical audiences
  • Master's degree in Computer Science, AI, or related field
  • Portfolio demonstrating AI product launches and measurable impact

Required Skills

Artificial Intelligence Product Management Machine Learning Data Science Agile Scrum UX Research Python TensorFlow NLP

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