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Future Technology Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect our 2026 roadmap and beyond. This role combines cutting-edge innovation with practical business strategy, requiring someone who thrives at the intersection of emerging tech, market trends, and organizational transformation.

As a key member of our leadership team, you'll shape how we harness quantum computing, AI ethics, and sustainable tech to redefine industries. We offer unparalleled autonomy, competitive equity packages, and the opportunity to impact billions of lives through responsible innovation.

Responsibilities

  • Develop comprehensive 2026+ technology roadmaps aligning with business objectives and market disruption forecasts
  • Lead cross-functional teams in evaluating and integrating emerging technologies (quantum computing, neuromorphic AI, biotech convergence)
  • Conduct horizon scanning and trend analysis to identify paradigm-shifting opportunities
  • Collaborate with C-suite to align technology strategy with ESG and ethical frameworks
  • Drive innovation through partnerships with academic institutions and R&D labs
  • Present strategic recommendations to stakeholders using data-driven visualization tools

Qualifications

  • 10+ years in strategic technology planning with 5+ in emerging tech domains
  • Proven expertise in forecasting technological disruption (e.g., AI, quantum, biotech)
  • Advanced degree in Computer Science, Engineering, or related field
  • Deep understanding of ethical tech frameworks and regulatory landscapes
  • Experience managing cross-functional innovation teams (50+ members)
  • Strong proficiency in data modeling and strategic visualization tools
  • Published thought leadership in technology journals or industry forums

Required Skills

Strategic Planning Emerging Technologies AI Ethics Quantum Computing Innovation Management Data Analysis Future Forecasting Tech Industry Knowledge

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