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Information Technology 🏒 Full Time ⭐️ Verified

Director of Future Tech & AI Strategy

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Director of Future Tech & AI Strategy to lead our mission into the next era of technological advancement. As we prepare for the technological landscape of 2026 and beyond, you will be responsible for identifying emerging trends in AI, quantum computing, and autonomous systems to drive our competitive advantage. This is a high-impact role for a leader who is not just comfortable with the future, but is actively building it.

Why Join Us?
We are a cutting-edge research lab focused on solving humanity's next set of challenges through advanced technology. You will have the autonomy to prototype ideas, direct R&D initiatives, and shape the infrastructure that will define the industry standard for years to come.

Responsibilities

  • Define the comprehensive technology roadmap for 2026 and beyond, focusing on AI integration and quantum readiness.
  • Lead the strategic planning and execution of experimental tech projects.
  • Collaborate with C-suite executives to align technology initiatives with business objectives.
  • Oversee a team of engineers and strategists to prototype and validate future concepts.
  • Monitor global tech trends and assess the potential impact on our core business models.
  • Secure funding and resources for high-risk, high-reward innovation projects.

Qualifications

  • Minimum of 10 years of experience in executive leadership or strategic technology roles.
  • Deep expertise in Artificial Intelligence, Machine Learning, and emerging quantum technologies.
  • Proven experience managing large-scale R&D budgets and cross-functional teams.
  • Strong analytical mindset with the ability to navigate ambiguity and uncertainty.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related technical field is highly preferred.

Required Skills

Artificial Intelligence Quantum Computing Strategy R&D Leadership San Francisco

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