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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

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

Job Description

Join InnovateNext Solutions at the forefront of technological evolution as we shape the digital landscape of 2026 and beyond. We seek a visionary Future Technology Strategist to architect our next-generation innovation roadmap. You'll lead cross-functional teams in developing cutting-edge solutions while anticipating industry shifts and emerging trends. This role combines deep technical expertise with strategic foresight to position our company as a market leader in the rapidly evolving tech ecosystem.

Responsibilities

  • Develop and execute a 5-year technology strategy aligned with 2026 market projections
  • Lead research on emerging technologies (AI, quantum computing, biotech convergence)
  • Collaborate with C-suite executives to align tech initiatives with business objectives
  • Establish partnerships with academic institutions and innovation labs
  • Create predictive models for technology adoption and market disruption
  • Manage a $15M+ innovation portfolio and R&D pipeline
  • Mentor high-potential engineers and product strategists

Qualifications

  • 10+ years in technology strategy, product development, or innovation leadership
  • Proven track record in implementing future-focused tech initiatives
  • Expertise in at least two emerging technology domains (AI, IoT, blockchain, etc.)
  • Advanced degree in Computer Science, Engineering, or Business
  • Strong analytical skills with ability to synthesize complex data
  • Experience managing cross-functional teams across global markets
  • Published thought leadership on technology trends (whitepapers, patents, etc.)
  • Certification in technology foresight or strategic innovation (e.g., CFTE, CSTM)

Required Skills

strategic planning innovation management technology forecasting market analysis product development AI/ML quantum computing data science R&D leadership

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