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Future Technology Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 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 demands a blend of analytical rigor, creative foresight, and executive leadership to transform emerging innovations into market-defining solutions. You'll collaborate with R&D, product, and executive teams to identify paradigm-shifting technologies and build actionable frameworks for sustainable growth.

Our San Francisco headquarters is a hub of innovation, offering competitive benefits, flexible work arrangements, and unparalleled opportunities to shape the future. If you're passionate about turning speculative possibilities into tangible realities, we want to meet you.

Responsibilities

  • Develop and execute technology roadmaps targeting 2026+ market disruption
  • Analyze emerging tech trends (AI, quantum computing, biotech) for strategic integration
  • Lead cross-functional teams to prototype and validate next-gen solutions
  • Present strategic recommendations to C-suite and board stakeholders
  • Build partnerships with academic institutions and industry pioneers
  • Quantify ROI and risk mitigation for experimental technologies
  • Drive innovation culture through internal hackathons and thought leadership

Qualifications

  • 10+ years in tech strategy, R&D, or innovation leadership
  • Proven track record of launching future-oriented products/services
  • Expertise in emerging technologies (AI/ML, AR/VR, blockchain)
  • Advanced degree in Computer Science, Engineering, or Business
  • Exceptional data analysis and scenario modeling skills
  • Strong executive presence with board-level experience
  • Published thought leadership in tech innovation

Required Skills

Strategic Planning Emerging Technologies Market Analysis Product Innovation AI/ML Quantum Computing Biotech Executive Leadership Data Modeling

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