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Future Technology Strategist

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

Job Description

Join InnovateNext Labs as a Future Technology Strategist to architect the technological landscape of 2026 and beyond. We're seeking visionary thinkers to bridge emerging innovations with market readiness in our Austin R&D hub. This role requires synthesizing quantum computing, AI ethics, and biotech convergence to define next-generation product roadmaps. You'll collaborate with cross-functional teams to prototype solutions for climate resilience, human augmentation, and decentralized systems. Our team operates at the intersection of scientific discovery and commercial application, offering unparalleled resources to transform theoretical concepts into scalable realities.

Responsibilities

  • Develop 5-year technology roadmaps integrating quantum, AI, and biotech convergence
  • Lead market analysis for emerging tech adoption curves and regulatory landscapes
  • Prototype cross-disciplinary solutions in our Austin Innovation Lab
  • Partner with VCs and startups to scout and incubate disruptive technologies
  • Present strategic frameworks to C-suite and external stakeholders
  • Anticipate societal implications of technological advancements through foresight modeling
  • Manage $2M+ annual innovation budget for pilot programs

Qualifications

  • 15+ years in tech strategy with 5+ years in emerging technologies
  • PhD or equivalent in Computer Science, Bioengineering, or Futures Studies
  • Published research in quantum computing, AI ethics, or synthetic biology
  • Proven track record of scaling technology from concept to market
  • Deep understanding of US tech policy and global innovation ecosystems
  • Experience with scenario planning and technology forecasting methodologies
  • Strong network with DARPA, NSF, or equivalent research institutions
  • Fluency in Python, R, and strategic modeling tools

Required Skills

Technology Strategy Quantum Computing AI Ethics Biotech Convergence Foresight Modeling Policy Analysis Innovation Management Cross-Disciplinary Prototyping

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