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Head of Future Tech & AI Strategy - 2026 Horizon Initiative

Aether 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Aether 2026 is pioneering the next generation of intelligent systems. We are seeking a visionary Head of Future Tech & AI Strategy to define our trajectory towards the 2026 Horizon Initiative. In this pivotal role, you will bridge the gap between cutting-edge research and scalable enterprise solutions, leading a team of elite engineers and data scientists to build the infrastructure of tomorrow.

You will be responsible for identifying emerging technologies, assessing their viability for our product ecosystem, and driving the strategic roadmap that ensures Aether 2026 remains at the forefront of the industry. If you have a passion for quantum computing, generative AI, and sustainable tech, we want to hear from you.

Responsibilities

  • Define and execute the long-term technology roadmap for the 2026 Horizon Initiative, aligning it with business goals.
  • Lead a high-performance team of AI researchers and engineers to prototype and validate next-gen technologies.
  • Identify and evaluate emerging tech trends (e.g., LLMs, Neural Interfaces, Quantum Algorithms) for potential integration.
  • Collaborate with cross-functional stakeholders, including Product, Design, and Executive leadership, to translate technical vision into actionable strategies.
  • Manage the budget for R&D initiatives and ensure efficient allocation of resources.
  • Establish partnerships with academic institutions and tech incubators to foster innovation.
  • Oversee the ethical implementation of AI systems, ensuring compliance with global standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 10+ years of experience in senior leadership roles within the tech industry, with at least 5 years specifically focused on AI strategy.
  • Proven track record of leading successful technology transformations and product launches.
  • Deep understanding of machine learning algorithms, natural language processing, and predictive modeling.
  • Exceptional strategic thinking and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Demonstrated experience managing large budgets and high-performing engineering teams.
  • Experience in navigating the regulatory landscape of emerging technologies is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Leadership R&D Python Quantum Computing Data Science Agile Methodologies

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