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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist & AI Visionary

Quantum Leap Industries
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the trajectory of technology in 2026?

Quantum Leap Industries is seeking a visionary Future Tech Strategist & AI Visionary to lead our groundbreaking initiatives. As we prepare for the technological paradigm shift of 2026, we need a leader who can bridge the gap between today’s innovations and tomorrow’s realities. You will be responsible for shaping our long-term roadmap, integrating advanced AI systems, and ensuring our infrastructure is ready for the next generation of digital evolution.

Why Join Us?

Work at the intersection of imagination and execution. We offer competitive compensation, equity packages, and the opportunity to define the future of work and technology. This is a high-impact role for a self-starter who thrives in ambiguity and is obsessed with the future.

Responsibilities

  • Define the 2026 Roadmap: Architect and oversee the strategic vision for emerging technologies, focusing on AI, Quantum Computing, and Spatial Computing integration.
  • Lead AI Transformation: Drive the adoption of Generative AI and Large Language Models across all departments to enhance operational efficiency.
  • Foresight Analysis: Conduct deep-dive research on technological trends to predict market shifts and identify competitive advantages.
  • Stakeholder Management: Collaborate with C-suite executives and product teams to translate complex technical concepts into actionable business strategies.
  • Innovation Labs: Establish and manage an internal incubator for experimental technologies to ensure we are ahead of the curve.
  • Policy & Ethics: Develop ethical guidelines for autonomous systems and AI deployment in alignment with 2026 compliance standards.

Qualifications

  • Strategic Leadership: 10+ years of experience in technology strategy, with at least 5 years in a senior leadership role (C-Level or VP).
  • Technical Acumen: Deep understanding of Artificial Intelligence, Machine Learning, and emerging tech stacks relevant to the 2026 landscape.
  • Problem Solving: Proven ability to navigate complex challenges and devise innovative solutions for future scalability.
  • Communication: Exceptional ability to communicate complex ideas to diverse audiences, from engineers to non-technical executives.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field; Master’s degree preferred.
  • Certification: PMP, TOGAF, or similar strategic architecture certification is a plus.

Required Skills

Artificial Intelligence Strategic Planning Machine Learning Leadership Future Tech Roadmap Python Ethics

Ready to Take This Challenge?

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