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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Dynamics as a 2026 Technology Futurist to architect tomorrow's digital landscape today. We're seeking visionary strategists who can decode emerging tech trends and transform them into market-defining innovations. This pivotal role bridges cutting-edge research with commercial execution, positioning you at the forefront of the next tech revolution.

In our Austin-based innovation hub, you'll collaborate with Nobel laureates and Silicon Valley veterans to prototype solutions for 2026's biggest challenges: quantum computing scalability, AI ethics frameworks, and sustainable tech ecosystems. We offer unparalleled resources including a $50M R&D budget and exclusive partnerships with NASA and MIT.

Responsibilities

  • Lead horizon scanning for 2026 tech disruptors across quantum, biotech, and AI domains
  • Develop strategic roadmaps integrating emerging technologies into enterprise ecosystems
  • Present future-vision briefings to C-suite executives and venture capital partners
  • Prototype and pilot next-gen solutions in our Austin Innovation Lab
  • Author thought leadership publications for MIT Technology Review and Wired
  • Mentor cross-functional teams in exponential technology adoption

Qualifications

  • 10+ years in technology strategy or R&D leadership with Fortune 500 impact
  • Published research in quantum computing, neuromorphic systems, or synthetic biology
  • Proven track record of commercializing emerging technologies
  • Expertise in futures methodologies (Delphi, horizon scanning, scenario planning)
  • PhD or equivalent in Computer Science, Physics, or Engineering
  • Security clearance preferred for government partnership projects

Required Skills

futures research quantum computing AI ethics strategic foresight technology commercialization R&D management scenario planning neuromorphic engineering

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