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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

Innovate 2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Innovate 2026 Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect the digital landscape of tomorrow. In this pivotal role, you'll identify emerging trends, develop long-term tech roadmaps, and lead cross-functional teams to transform cutting-edge concepts into market-ready innovations. Our dynamic environment offers unparalleled opportunities to shape industries through AI, quantum computing, and sustainable tech solutions. If you're passionate about solving tomorrow's challenges today, this is your calling.

Responsibilities

  • Research and analyze emerging technologies (AI, quantum computing, biotech) to identify disruptive opportunities
  • Develop comprehensive 5-10 year technology roadmaps aligned with business objectives
  • Lead cross-functional innovation sprints with engineering, product, and design teams
  • Present strategic recommendations to C-suite executives and key stakeholders
  • Monitor competitive landscape and regulatory shifts affecting tech adoption
  • Build partnerships with research institutions and industry pioneers
  • Drive adoption of ethical AI frameworks and sustainable tech practices

Qualifications

  • 10+ years in strategic technology planning or innovation leadership
  • Proven track record in emerging tech adoption (AI/ML, blockchain, IoT)
  • Expertise in scenario planning and future-trend analysis methodologies
  • Strong quantitative and qualitative research capabilities
  • Experience with agile development and rapid prototyping environments
  • Advanced degree in Computer Science, Engineering, or related field
  • Certification in Strategic Innovation Management preferred
  • Portfolio demonstrating 3+ technology transformation initiatives

Required Skills

Strategic Planning Emerging Technologies AI/ML Innovation Management Future Trends Data Analysis Cross-functional Leadership Quantum Computing Ethical AI Sustainable Tech

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