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Information Technology 🏢 Full Time ⭐️ Verified

2026 Innovation Strategist

FutureVision Labs
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureVision Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Innovation Strategist to architect our next-generation roadmap in AI, quantum computing, and sustainable tech. This role blends cutting-edge research with market foresight to transform industries and create lasting impact.

As a key member of our R&D division, you'll collaborate with Nobel laureates, patent-holding engineers, and industry disruptors to shape the future. Our culture rewards bold thinking, embraces calculated risks, and offers unparalleled resources for turning revolutionary concepts into market realities.

Responsibilities

  • Develop multi-year innovation roadmaps aligning with emerging tech trends post-2025
  • Lead cross-functional teams in prototyping breakthrough solutions for Fortune 500 partners
  • Conduct horizon scanning for disruptive technologies in quantum, biotech, and climate tech
  • Translate complex technical concepts into compelling business strategies for C-suite stakeholders
  • Secure $5M+ annual R&D funding through data-driven innovation proposals
  • Mentor junior researchers in patent development and commercialization pathways

Qualifications

  • PhD in Computer Science, Engineering, or related field (or equivalent experience)
  • 10+ years in tech strategy with 3+ years in future-tech forecasting
  • Published research in IEEE Nature or similar peer-reviewed journals
  • Proven track record of launching commercialized innovations
  • Expertise in scenario planning and technology adoption lifecycle models
  • Strong network within DARPA, NSF, or global innovation ecosystems
  • Fluency in at least one programming language (Python, R, or Julia preferred)

Required Skills

Technology Strategy Future Forecasting Quantum Computing AI Ethics Commercialization Patent Law Systems Thinking Data Modeling

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