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Future Tech Strategist (2026 Horizon)

Quantum Horizon Labs
Seattle
Estimated Salary
USD 160.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future? Quantum Horizon Labs is seeking a visionary Future Tech Strategist to define the technological roadmap for 2026 and beyond. We are building the infrastructure of tomorrow, and we need a leader who can bridge the gap between emerging trends and scalable solutions. This is an elite opportunity for a technologist who isn't just following the industry—someone who is setting the pace.

In this pivotal role, you will steer our R&D initiatives, ensuring we are ahead of the curve in AI, quantum computing, and next-gen software architectures. You will work closely with C-suite executives to translate complex future-state visions into actionable engineering strategies.

Responsibilities

  • Lead the strategic vision for Quantum Horizon Labs' technology stack, specifically targeting breakthroughs relevant to the 2026 era.
  • Conduct deep-dive research into emerging technologies (AI, Blockchain, Quantum) and evaluate their viability for commercial deployment.
  • Define and execute long-term R&D roadmaps, ensuring alignment with business goals and market opportunities.
  • Cultivate partnerships with academic institutions and tech pioneers to stay ahead of industry shifts.
  • Mentor senior engineering teams, fostering a culture of innovation and technical excellence.
  • Oversee the lifecycle of prototype development, from initial concept to scalable production.

Qualifications

  • 10+ years of experience in software engineering, architecture, or strategic technology roles.
  • Proven track record of leading cross-functional teams in high-growth environments.
  • Deep expertise in Artificial Intelligence, Machine Learning, and Cloud Infrastructure.
  • Exceptional strategic thinking skills with the ability to predict industry trends up to 3-5 years in advance.
  • Strong background in Agile methodologies and product lifecycle management.
  • Master's degree in Computer Science, Engineering, or a related technical field is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning R&D Leadership Cloud Architecture Quantum Computing Future Tech Agile Python

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