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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director (2026 Vision)

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking an AI Strategy Director to architect our 2026 roadmap and drive innovation in artificial intelligence. This pivotal role will shape how we integrate emerging technologies into global enterprise solutions, working directly with C-suite executives and research teams to build the next generation of intelligent systems.

Why Nexus Future Labs? We're a venture-backed deep-tech incubator with $500M+ in assets under management, specializing in quantum computing, neural interfaces, and autonomous systems. Our Austin headquarters features a 40,000 sq ft R&D lab with state-of-the-art hardware and an unparalleled innovation culture.

Responsibilities

  • Develop and execute AI strategy aligned with 2026 technological inflection points
  • Lead cross-functional teams of ML engineers, data scientists, and product architects
  • Forge strategic partnerships with quantum computing and neuromorphic hardware providers
  • Translate complex technical concepts into actionable business roadmaps
  • Drive M&A activities for AI/ML startups complementary to our vision
  • Present 2026 technology forecasts to Fortune 100 clients and investors
  • Mentor next-gen AI talent through our Future Leaders program

Qualifications

  • 15+ years in AI/ML leadership with 5+ years in strategic planning
  • Proven track record of launching AI products generating $50M+ ARR
  • Deep expertise in transformer architectures, reinforcement learning, and federated systems
  • Experience with quantum machine learning and neuromorphic computing
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • PhD in Computer Science, AI, or related field from Tier 1 institution
  • Clearance for DOE/NASA collaborative projects preferred

Required Skills

AI Strategy Machine Learning Quantum Computing Neural Interfaces Strategic Planning M&A Deep Learning Reinforcement Learning Federated Systems Product Architecture

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