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Information Technology 🏢 Full Time ⭐️ Verified

AI & Future Tech Strategist

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you a visionary ready to define the technology of tomorrow?

Nexus Horizons is looking for a visionary AI & Future Tech Strategist to lead our roadmap into the 2026 era. In this pivotal role, you will bridge the gap between emerging technologies and business growth, ensuring we are not just adapting to the future, but architecting it.

We are seeking a forward-thinking leader who can analyze complex trends in Artificial Intelligence, Quantum Computing, and Spatial Web to drive innovation. If you thrive on uncertainty and have a passion for shaping the digital landscape of the next decade, we want to meet you.

Responsibilities

  • Forecast & Analyze: Conduct deep-dive research on emerging tech trends (AGI, Quantum Computing, Spatial Computing) to forecast their market impact by 2026 and beyond.
  • Strategic Roadmapping: Develop long-term technology roadmaps that align with business objectives and position Nexus Horizons as an industry leader.
  • R&D Leadership: Lead cross-functional research and development initiatives to prototype and validate future-ready solutions.
  • Stakeholder Communication: Translate complex technical futures into actionable business strategies for C-suite executives and investors.
  • Talent Acquisition: Partner with HR to define the skill sets required for the future workforce and build high-performance teams.

Qualifications

  • Experience: 8+ years of experience in strategy, technology consulting, or product management within a high-growth tech environment.
  • Technical Acumen: Deep understanding of AI/ML architectures, blockchain, and next-gen computing paradigms.
  • Strategic Vision: Demonstrated ability to anticipate industry shifts and create actionable blueprints for the future.
  • Leadership: Proven track record of leading teams and managing high-stakes projects with ambiguity.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Business Administration, or a related field.

Required Skills

Artificial Intelligence Strategic Planning R&D Future Tech Leadership Quantum Computing Market Forecasting

Ready to Take This Challenge?

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