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Future Tech Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 175.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 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 and pioneer breakthrough solutions in AI, quantum computing, and biotechnology. This pivotal role demands a blend of technical acumen and strategic foresight to transform emerging trends into industry-defining innovations.

As part of our elite innovation team, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and disruptive startups. We offer unparalleled resources, flexible work arrangements, and a culture where your boldest ideas become reality.

Responsibilities

  • Design and execute multi-year technology strategy aligned with 2026 market projections
  • Lead cross-functional initiatives in AI ethics, quantum algorithm development, and synthetic biology integration
  • Identify and vet emerging technologies with $1B+ market potential
  • Build strategic partnerships with academic institutions and R&D labs
  • Present future-tech roadmaps to C-suite and board stakeholders
  • Manage $5M+ innovation budget for prototyping and pilot programs
  • Develop intellectual property portfolios for breakthrough innovations

Qualifications

  • PhD in Computer Science, Physics, or related field with 8+ years experience
  • Proven track record in launching at least two commercialized tech innovations
  • Deep expertise in quantum computing, neuromorphic AI, or CRISPR applications
  • Published research in Nature/Science with >500 citations
  • Experience securing federal SBIR grants or DARPA funding
  • Strong network with MIT Media Lab, NASA Ames, or similar institutions
  • Fluency in Python, TensorFlow, and quantum programming frameworks
  • Strategic certification from Singularity University or similar

Required Skills

Quantum Computing AI Ethics Biotechnology Strategic Planning R&D Management Patent Law Futurism Machine Learning

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