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Future Technologies Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we shape the future for 2026 and beyond. We're seeking a visionary Future Technologies Strategist to identify, evaluate, and integrate emerging innovations that will redefine industries. This role blends deep technical acumen with forward-thinking business strategy to position our company as a market leader in the next wave of technological disruption.

As a key member of our Innovation Council, you'll work alongside C-suite executives to develop roadmaps for quantum computing, AI ethics, biotechnology convergence, and sustainable tech solutions. You'll have direct influence on multi-million-dollar R&D investments and cross-functional digital transformation initiatives.

Responsibilities

  • Research and forecast emerging technologies with 3-5 year commercial viability
  • Develop strategic roadmaps for technology adoption across business units
  • Lead cross-functional teams to pilot and scale innovations
  • Analyze market trends and competitive landscape to identify first-mover opportunities
  • Present technology insights to executive stakeholders and investors
  • Build partnerships with academic institutions and tech startups
  • Monitor ethical implications and regulatory frameworks for emerging tech

Qualifications

  • 10+ years in technology strategy, innovation management, or R&D leadership
  • Proven track record in commercializing emerging technologies
  • Expertise in AI/ML, quantum computing, or biotechnology convergence
  • Strong analytical skills with ability to translate complex data into actionable insights
  • Experience building technology roadmaps with measurable KPIs
  • Advanced degree in Computer Science, Engineering, or Business
  • Certifications in emerging technologies (e.g., Quantum Computing, AI Ethics)

Required Skills

Strategic Planning Technology Forecasting Innovation Management AI/ML Quantum Computing Biotechnology Data Analysis Roadmapping Stakeholder Management

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