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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
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join InnovateNext Labs to architect the technological landscape of 2026. We're seeking a visionary Future Technology Strategist to identify and capitalize on emerging trends across AI, quantum computing, and sustainable tech. You'll lead cross-functional teams to develop roadmaps that position our company at the forefront of innovation. This role demands a blend of technical acumen, strategic foresight, and executive communication skills to transform futuristic concepts into actionable business initiatives.

Responsibilities

  • Research and analyze emerging technologies (2025-2026 horizon) to identify disruptive opportunities
  • Develop strategic technology roadmaps aligned with long-term business objectives
  • Collaborate with R&D teams to prototype and validate future-facing solutions
  • Present findings and recommendations to C-suite executives and key stakeholders
  • Establish partnerships with academic institutions and tech pioneers
  • Monitor geopolitical and market shifts affecting tech adoption timelines
  • Drive innovation workshops to cultivate organizational future-readiness

Qualifications

  • 10+ years in technology strategy, product development, or innovation management
  • Proven track record in emerging tech adoption (AI, blockchain, quantum)
  • Advanced degree in Computer Science, Engineering, or Business
  • Exceptional analytical skills with data-driven decision-making
  • Experience leading cross-functional teams in matrix organizations
  • Deep understanding of global tech ecosystems and regulatory landscapes
  • Strong executive communication and presentation abilities
  • Certification in strategic foresight or innovation management preferred

Required Skills

Strategic Planning Emerging Technologies AI Quantum Computing Innovation Management Future Forecasting Cross-functional Leadership Data Analysis

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