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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Product Manager - 2026 Vision

Nexus Innovations
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape tomorrow's technology today at Nexus Innovations! We're seeking a visionary AI Product Manager to architect our 2026 roadmap and lead groundbreaking projects in generative AI and quantum computing. Join our elite team of futurists in Austin, where innovation meets execution. You'll drive strategy for next-gen AI platforms while mentoring cross-functional teams to transform theoretical possibilities into market-defining solutions. This role offers unparalleled autonomy to pioneer AI ethics frameworks and scalable infrastructure for the coming decade.

What you'll achieve:
• Lead end-to-end product lifecycle for AI systems impacting 10M+ users
• Architect 2026-ready AI solutions with 99.9% uptime SLAs
• Drive $50M+ revenue growth through AI-powered product innovation

Responsibilities

  • Define and execute 2026 AI product roadmap aligning with quantum computing advancements
  • Lead agile development of generative AI platforms with 100M+ parameter models
  • Drive cross-functional collaboration between ML engineers, UX designers, and quantum physicists
  • Establish ethical AI governance frameworks for autonomous systems
  • Conduct market analysis to identify emerging AI opportunities in Web4.0 ecosystems
  • Present product vision to C-suite and board of directors quarterly
  • Mentor junior product managers in AI-first methodologies

Qualifications

  • 5+ years in AI/ML product management with 3+ years in generative AI
  • Proven track record launching AI products with $20M+ ARR
  • Expertise in MLOps pipelines and cloud-native AI infrastructure (AWS/GCP)
  • Deep understanding of quantum computing principles and their AI applications
  • Strong background in AI ethics frameworks (EU AI Act, NIST RMF)
  • Experience with decentralized AI systems and blockchain integration
  • MS/PhD in Computer Science, AI, or related technical field

Required Skills

AI Product Management Generative AI Quantum Computing MLOps AI Ethics Strategic Roadmapping Agile Leadership Cloud AI Infrastructure Web4.0 Ecosystems

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