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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Strategist - 2026 Readiness

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are seeking a visionary Future Tech Strategist to lead our innovation division. In a rapidly evolving digital landscape, your mission is to bridge the gap between current capabilities and the technological horizon of 2026. You will be at the forefront of defining how our organization integrates emerging trends like Generative AI, Spatial Computing, and Quantum Readiness.

Why Join Us?
At Apex Horizon Labs, we don't just predict the future; we engineer it. We are a team of elite engineers, futurists, and strategists dedicated to building the infrastructure for tomorrow. As a Strategist, you will have the autonomy to experiment with cutting-edge technologies and mentor a team of top-tier developers.

Responsibilities

  • Conduct deep-dive research on upcoming technologies projected to dominate the 2026 landscape.
  • Define and communicate a clear technical roadmap for the next 3-5 years.
  • Lead Proof-of-Concept (PoC) initiatives for next-gen AI and spatial computing applications.
  • Collaborate with product leadership to align technical vision with business goals for the 2026 era.
  • Identify potential risks and bottlenecks in current architectures before they become critical issues.
  • Oversee the integration of advanced automation and predictive analytics into core workflows.

Qualifications

  • 10+ years of experience in Information Technology, Software Engineering, or Strategic Product Management.
  • Strong understanding of current AI trends and the roadmap toward Artificial General Intelligence (AGI).
  • Demonstrated experience leading cross-functional teams in a high-growth environment.
  • Expertise in emerging tech stacks (Web3, Spatial Computing, Edge Computing).
  • Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • A degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Artificial Intelligence Strategic Planning R&D Machine Learning Future Tech Quantum Computing Leadership

Ready to Take This Challenge?

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