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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Strategy Lead (2026 Horizon)

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Future Tech Strategy Lead to define our technological trajectory through 2026. This role goes beyond standard IT management; it is about anticipating the horizon and architecting the future. You will be responsible for integrating cutting-edge innovations, such as Generative AI and Sustainable Tech, into our core business model to drive sustainable growth.


Key Highlights:

  • Work with a forward-thinking leadership team to shape the 2026 roadmap.
  • Bridge the gap between emerging technology and business goals.
  • Remote-first culture with a vibrant hub in San Francisco.

Responsibilities

  • Develop and maintain the comprehensive 2026 Technology Roadmap, aligning technical capabilities with long-term business objectives.
  • Identify and evaluate emerging technologies (Quantum Computing, Edge AI, Web3) for potential integration.
  • Lead cross-functional pilot programs to test the viability of future tech solutions.
  • Advise the C-Suite on digital transformation strategies and risk management.
  • Collaborate with R&D teams to prototype concepts for the 2026 product cycle.
  • Monitor global tech trends to ensure a competitive market advantage.

Qualifications

  • 10+ years of experience in Technology Strategy, Consulting, or Product Management.
  • Proven track record of leading successful digital transformation initiatives.
  • Deep understanding of AI, Machine Learning, and Cloud infrastructure.
  • Strong analytical skills with the ability to forecast market trends.
  • Excellent verbal and written communication skills for executive-level reporting.
  • Master’s degree in Computer Science, Engineering, or Business Administration preferred.

Required Skills

Artificial Intelligence Strategic Planning Digital Transformation Roadmap Cloud Computing Machine Learning R&D Executive Leadership

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