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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Director of 2026 AI & Future Tech Strategy

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are looking for a visionary Director of 2026 AI & Future Tech Strategy to lead our roadmap for the next generation of intelligent systems. In this pivotal role, you will define the technological trajectory for the year 2026, bridging the gap between emerging innovations and practical business applications.

At Nexus Horizon Labs, we are not just predicting the future; we are architecting it. You will work closely with C-suite executives and engineering leads to ensure our infrastructure is ready for the rapid advancements in Generative AI, Quantum Computing, and Neural Interfaces expected by 2026.

Why Join Us?

  • Shape the future of technology with high-impact decisions.
  • Work in a state-of-the-art facility in the heart of the tech hub.
  • Competitive compensation package including equity options.

Responsibilities

  • Define the 2026 Roadmap: Create and maintain a comprehensive technology strategy focused on AI evolution, ensuring alignment with business goals.
  • Market Analysis: Conduct deep-dive research on emerging tech trends to identify opportunities and threats for the 2026 horizon.
  • Cross-Functional Leadership: Lead and mentor a team of strategists, engineers, and product managers to execute the 2026 vision.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and board members.
  • Partnership Building: Forge strategic partnerships with leading AI research institutions and tech innovators.
  • Resource Allocation: Direct budget and resources toward high-ROI initiatives that define our competitive edge.

Qualifications

  • Strategic Vision: 10+ years of experience in technology strategy, product management, or executive consulting, with a focus on AI and Future Tech.
  • Technical Fluency: Deep understanding of machine learning, data science, and upcoming tech stacks expected by 2026.
  • Leadership: Proven track record of leading high-performing teams and managing cross-functional projects.
  • Problem Solving: Ability to anticipate industry shifts and devise long-term solutions.
  • Communication: Exceptional verbal and written communication skills with the ability to influence diverse audiences.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field; Master’s degree preferred.

Required Skills

AI Strategy Machine Learning Strategic Planning Product Management Leadership Future Tech Roadmap Planning Data Analysis

Ready to Take This Challenge?

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