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Information Technology 🏢 Full Time ⭐️ Verified

Director of Future Technologies & AI Strategy (2026 Roadmap)

Horizon 2026
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Architects of the Future

Are you ready to define the technological landscape of 2026? Horizon 2026 is seeking a visionary Director of Future Technologies to spearhead our strategic roadmap and bridge the gap between today's innovations and the next decade of AI-driven evolution. You will be responsible for identifying emerging tech trends—such as generative AI, quantum computing, and autonomous systems—and integrating them into our core infrastructure.

In this high-impact role, you will lead a cross-functional team of engineers and strategists to ensure we are not just keeping up with the market, but setting the standard for 2026 and beyond.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic vision for Horizon 2026, identifying key technological milestones and innovation gaps for the year 2026.
  • AI Integration Strategy: Oversee the deployment of advanced AI models and machine learning systems to enhance product capabilities and operational efficiency.
  • R&D Leadership: Cultivate partnerships with top-tier research institutions and tech startups to gain early access to breakthrough technologies.
  • Stakeholder Management: Communicate complex technical concepts to executive leadership and non-technical stakeholders to secure buy-in for long-term investments.
  • Scalability & Architecture: Design robust, scalable technical architectures capable of supporting exponential data growth by 2026.
  • Competitive Analysis: Monitor global tech trends to ensure Horizon 2026 remains a market leader in the evolving tech landscape.

Qualifications

  • Strategic Vision: 10+ years of experience in technology leadership, with a proven track record of defining multi-year strategic roadmaps.
  • AI Expertise: Deep understanding of artificial intelligence, machine learning, and predictive analytics.
  • Technical Background: Strong proficiency in cloud architecture (AWS/Azure/GCP) and distributed systems.
  • Future-Forward Thinking: Demonstrated ability to anticipate industry shifts and adapt strategies accordingly.
  • Leadership: Proven experience managing diverse, high-performance engineering teams.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Cloud Computing R&D System Architecture Leadership 2026 Roadmap Quantum Computing Generative AI

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