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Director of Future Technologies (2026)

Vision 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the landscape of 2026?

Vision 2026 is pioneering the next generation of artificial intelligence and immersive digital experiences. We are looking for a visionary Director of Future Technologies to lead our R&D division and bridge the gap between today's innovations and tomorrow's reality.

In this pivotal role, you will not just implement existing technologies; you will architect the future. You will guide a world-class team of engineers, data scientists, and futurists in developing breakthrough solutions that will define the industry standards for the mid-2020s.

If you thrive in ambiguity, possess a deep understanding of emerging tech trends, and are driven by the challenge of building what doesn't exist yet, we want to hear from you.

Responsibilities

  • Strategic Vision: Define and execute the long-term technology roadmap for Vision 2026, specifically focusing on AI evolution and next-gen computing paradigms.
  • Leadership: Lead, mentor, and grow a high-performance team of engineers and researchers, fostering a culture of innovation and continuous learning.
  • R&D Management: Oversee the research and development pipeline, ensuring projects align with our mission to revolutionize the digital landscape.
  • Cross-Functional Collaboration: Partner with product, design, and executive leadership to translate complex technological concepts into business value.
  • Patent & IP Strategy: Drive initiatives to secure intellectual property and establish Vision 2026 as a thought leader in future tech.

Qualifications

  • Experience: 10+ years of experience in software engineering or technical leadership, with at least 3 years in a senior management role.
  • Technical Expertise: Deep understanding of Machine Learning, Neural Networks, and emerging AI frameworks (e.g., LLMs, Generative AI).
  • Strategic Mindset: Proven ability to translate abstract future trends into concrete product roadmaps and technical strategies.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders and investors.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.

Required Skills

Artificial Intelligence Machine Learning Leadership R&D Strategic Planning Python TensorFlow Neural Networks Product Strategy

Ready to Take This Challenge?

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