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Future Tech Strategist 2026

InnovateNext Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join InnovateNext Solutions to architect the technological frontier of 2026. We're seeking a visionary strategist to lead our next-gen innovation initiatives, transforming cutting-edge concepts into market-defining solutions. This role sits at the intersection of AI, quantum computing, and sustainable tech, requiring a blend of technical depth and business acumen to shape our product roadmap for the post-2025 landscape.

You'll collaborate with C-suite executives and research labs to identify emerging opportunities, while building cross-functional teams to execute on breakthrough innovations. Our dynamic startup environment offers unparalleled autonomy to experiment with bleeding-edge technologies and influence the future of digital transformation.

Responsibilities

  • Develop and implement technology roadmaps targeting 2026 market opportunities
  • Lead research initiatives in quantum AI, biotech convergence, and climate tech
  • Build and manage high-performance innovation teams across R&D and product domains
  • Forge strategic partnerships with academic institutions and industry disruptors
  • Translate complex technical concepts into actionable business strategies
  • Secure $5M+ in innovation grants and venture funding for future-focused projects

Qualifications

  • 15+ years in tech strategy with 5+ years in future-tech planning
  • Expertise in at least two emerging tech domains (quantum/AI/biotech)
  • Proven track record of launching category-defining products
  • PhD or equivalent in Computer Science/Engineering preferred
  • Experience scaling innovation teams from 10 to 100+ members
  • Published research in IEEE Nature or equivalent tier-1 journals
  • Deep understanding of global tech policy and regulatory landscapes

Required Skills

Strategic Planning Quantum Computing AI Ethics Innovation Management Biotech Integration Future Forecasting Venture Capital Systems Architecture

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