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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
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect solutions for 2026 and beyond. This role demands an individual who thrives at the intersection of emerging tech, market analysis, and strategic implementation. You'll collaborate with cross-functional teams to pioneer breakthrough innovations that redefine industries.

Our ideal candidate combines deep technical acumen with business foresight to anticipate and shape tomorrow's digital landscape. If you're passionate about transforming futuristic concepts into tangible value, we invite you to lead our charge into the next technological frontier.

Responsibilities

  • Develop 3-5 year technology roadmaps aligned with market trends and business objectives
  • Conduct horizon scanning to identify disruptive technologies (AI, quantum computing, biotech)
  • Lead cross-functional innovation sprints for prototype development
  • Present strategic recommendations to C-suite and board stakeholders
  • Build partnerships with academic institutions and R&D labs
  • Quantify ROI and risk assessment for emerging tech investments
  • Mentor junior strategists in future-thinking methodologies

Qualifications

  • 10+ years in technology strategy or innovation management
  • Proven track record in emerging tech adoption (blockchain, AR/VR, AI)
  • Advanced degree in Computer Science, Engineering, or Business
  • Experience with scenario planning and technology forecasting
  • Exceptional data analysis and strategic modeling skills
  • Strong presentation and executive communication abilities
  • Certification in emerging technologies (e.g., Google AI, AWS ML)

Required Skills

Strategic Planning Technology Forecasting Innovation Management AI/ML Quantum Computing Market Analysis Risk Assessment Data Modeling

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