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Future Tech Strategist (2026 Vision)

InnovateNext Labs
Austin
Estimated Salary
USD 130.000 – USD 180.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution. We're seeking a visionary Future Tech Strategist to architect our 2026 roadmap, integrating AI, quantum computing, and sustainable innovation. This senior role demands a blend of technical acumen and strategic foresight to transform emerging concepts into market-leading solutions.

As a key architect of our 2026 vision, you'll collaborate with C-suite executives, R&D teams, and global partners to define breakthrough initiatives. We offer a dynamic environment where your expertise directly shapes tomorrow's technological landscape.

Responsibilities

  • Lead cross-functional teams in developing 2026 technology roadmaps for AI, quantum computing, and climate tech
  • Analyze emerging tech trends (NFTs, Web3, biotech) to identify disruptive opportunities
  • Present strategic recommendations to executive stakeholders with data-driven projections
  • Oversee pilot projects for futuristic concepts (e.g., AR/VR ecosystems, autonomous systems)
  • Establish KPIs for measuring 2026 innovation success and ROI
  • Build partnerships with academic institutions and tech incubators
  • Mentor junior strategists in future-proofing methodologies

Qualifications

  • 10+ years in strategic tech planning with 3+ years in emerging technologies
  • Proven track record in launching AI/quantum solutions
  • Expertise in scenario planning for 2026+ tech landscapes
  • Strong financial modeling for innovation investments
  • Published thought leadership in future tech (patents/articles)
  • Experience with agile development in experimental environments
  • MSc/MBA in Technology Management or equivalent
  • Proficiency in futures forecasting tools (e.g., Delphi method, Horizon scanning)

Required Skills

AI Strategy Quantum Computing Future Forecasting Sustainable Tech Strategic Planning Innovation Management R&D Leadership Data Modeling

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