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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution. We're seeking a visionary Future Technology Strategist to architect our roadmap for 2026 and beyond. This pivotal role blends foresight with execution, driving innovation in AI, quantum computing, and sustainable tech. You'll collaborate with C-suite executives to translate future trends into actionable strategies that position our company as an industry leader. If you thrive at the intersection of technology, business, and human-centric design, this is your opportunity to shape tomorrow.

Responsibilities

  • Develop comprehensive 2026+ technology roadmaps aligned with market trends and business objectives
  • Lead cross-functional teams to prototype and validate emerging technologies (AI, quantum, AR/VR)
  • Conduct horizon scanning and competitive analysis to identify disruptive opportunities
  • Present strategic recommendations to executive stakeholders with data-backed insights
  • Drive innovation workshops to foster collaborative ideation across departments
  • Establish KPIs for technology adoption and measure ROI on futuristic initiatives
  • Partner with R&D to translate strategic vision into tangible product roadmaps

Qualifications

  • 10+ years in technology strategy or innovation leadership roles
  • Expertise in emerging technologies (AI/ML, quantum computing, blockchain)
  • Proven track record of developing multi-year technology roadmaps
  • Advanced degree in Computer Science, Engineering, or Business Strategy
  • Exceptional analytical skills with experience in scenario planning
  • Strong presentation skills for executive audiences
  • Experience managing innovation budgets and R&D partnerships
  • Deep understanding of ethical implications of future technologies

Required Skills

Strategic Planning Emerging Technologies AI/ML Quantum Computing Innovation Management Data Analysis Executive Communication R&D Partnerships

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