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Information Technology 🏒 Full Time ⭐️ Verified

Head of Future Technologies & AI Strategy

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary leader to define the technological trajectory of our organization for the 2026 horizon and beyond. As the Head of Future Technologies, you will bridge the gap between cutting-edge research and practical application, steering our AI and quantum computing initiatives toward a revolutionary future. You will be responsible for identifying emerging trends, assessing their impact on our business model, and leading the R&D teams that will turn tomorrow's science into today's reality.

Join us in shaping the next generation of intelligent systems and securing our position as an industry leader in the rapidly evolving tech landscape.

Responsibilities

  • Develop and execute a comprehensive technology roadmap specifically aligned with 2026 strategic goals and long-term vision.
  • Lead and mentor a high-performance team of AI researchers, data scientists, and futurists.
  • Identify, evaluate, and prototype emerging technologies (e.g., Generative AI, Quantum Algorithms, Neural Interfaces) with high commercial potential.
  • Collaborate with cross-functional executive leadership to align technical innovations with business objectives.
  • Manage a substantial R&D budget and oversee vendor partnerships with leading tech institutions.
  • Establish thought leadership within the industry through white papers, speaking engagements, and strategic partnerships.
  • Predict and mitigate risks associated with rapid technological adoption.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Physics, or a related technical field.
  • Minimum of 10 years of experience in senior leadership roles within the technology sector, specifically in AI/ML or Future Tech.
  • Proven track record of successfully launching innovative products or technologies.
  • Deep understanding of current AI paradigms and the foresight to anticipate 2026-2030 tech shifts.
  • Exceptional strategic planning and communication skills, capable of translating complex technical concepts for diverse stakeholders.
  • Strong network of relationships within the global tech and academic research community.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing R&D Leadership Neural Networks Future Tech Data Science Executive Management

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