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Executive Management 🏢 Full Time ⭐️ Verified

Chief AI & Future Tech Officer

Nexus 2026 Technologies
San Francisco
Estimated Salary
USD 350.000 – USD 550.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus 2026 Technologies is seeking a visionary Chief AI & Future Tech Officer to lead our strategic initiatives into the next generation of intelligent systems.

In this pivotal role, you will be responsible for architecting our roadmap to prepare for the rapid advancements in artificial intelligence, quantum computing, and autonomous systems. You will not just adapt to the future; you will create it.

We offer a competitive compensation package, equity, and the opportunity to work with world-class engineers and futurists. If you are passionate about the intersection of ethics, technology, and business growth, we want to hear from you.

Responsibilities

  • Define and execute the company's long-term technology strategy with a focus on 2026 and beyond.
  • Lead the research and development of cutting-edge AI solutions, including Large Language Models and predictive analytics.
  • Oversee the integration of emerging technologies (e.g., Quantum, AR/VR) into core business operations.
  • Establish a robust AI ethics framework to ensure responsible innovation and compliance.
  • Collaborate with executive leadership to drive revenue growth through technological innovation.
  • Mentor and build a high-performing engineering and research team.

Qualifications

  • 10+ years of experience in executive leadership roles within the tech industry, with a specific focus on AI, Machine Learning, or Data Science.
  • Proven track record of successfully scaling technology products and infrastructure.
  • Deep understanding of the technological trends expected to dominate 2026, such as generative AI and edge computing.
  • Strong background in strategic planning, budget management, and cross-functional team leadership.
  • Exceptional communication skills, capable of translating complex technical concepts for diverse stakeholders.
  • Advanced degree in Computer Science, Engineering, or a related field (MBA preferred).

Required Skills

Artificial Intelligence Machine Learning Strategy Executive Leadership Quantum Computing Ethics Data Science Cloud Architecture

Ready to Take This Challenge?

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