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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateX Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join InnovateX Solutions at the forefront of technological evolution. We're seeking a visionary Future Technology Strategist to architect our 2026 roadmap and drive innovation across emerging ecosystems. This role combines cutting-edge foresight with practical execution to shape how humanity interacts with technology tomorrow.

As a key member of our Global Innovation Lab, you'll collaborate with quantum computing researchers, AI ethicists, and biotech pioneers to develop scalable frameworks for next-generation solutions. Our culture rewards bold thinking and rapid prototyping in a dynamic, results-driven environment.

Responsibilities

  • Lead cross-functional teams in developing 2026 technology roadmaps for AI, quantum, and biotech convergence
  • Conduct horizon scanning to identify disruptive trends and emerging technologies with 3-5 year impact
  • Design strategic frameworks for ethical AI deployment and human-machine symbiosis
  • Present innovation briefings to C-suite stakeholders and venture capital partners
  • Manage prototype development lifecycle from concept to market validation
  • Author thought leadership on future technology ethics and societal implications

Qualifications

  • 10+ years in strategic technology planning with 5+ years in emerging tech domains
  • Proven track record of launching innovative products with global impact
  • Expertise in at least two of: quantum computing, AGI ethics, neurotech, or climate tech
  • Advanced degree in Computer Science, Engineering, or Futures Studies
  • Published research or patents in forward-looking technology domains
  • Experience with scenario planning and technology forecasting methodologies
  • Proficiency in data visualization tools (Tableau, Power BI) and strategic modeling

Required Skills

Strategic Planning Emerging Technologies Innovation Management AI Ethics Quantum Computing Futures Research Data Modeling Cross-functional Leadership

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