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Information Technology 🏒 Full Time ⭐️ Verified

Senior Strategic Technology Lead (2026 Roadmap)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a forward-thinking Senior Strategic Technology Lead to define our technology vision for the year 2026. In this high-impact role, you will serve as the bridge between emerging technologies and our business strategy, ensuring Nexus Innovations remains a pioneer in the digital landscape.

You will be responsible for charting the course for our AI infrastructure, cloud evolution, and next-generation software development lifecycle. If you have a passion for shaping the future and a proven track record in strategic leadership, we want to hear from you.

Responsibilities

  • Architect and define the comprehensive 2026 Technology Strategy and Roadmap.
  • Lead Research and Development initiatives in Artificial Intelligence and Machine Learning.
  • Collaborate with C-Suite executives to translate business goals into technical roadmaps.
  • Oversee the migration to scalable, secure, and high-performance cloud architectures.
  • Identify emerging tech trends (e.g., Quantum Computing, Edge AI) and assess their business viability.
  • Mentor and build a world-class team of engineers and technical architects.

Qualifications

  • 15+ years of experience in software engineering and strategic technology leadership.
  • Proven experience in defining and delivering complex technology roadmaps for enterprise-level organizations.
  • Deep expertise in AI, Machine Learning, Cloud Computing (AWS, Azure, or GCP), and DevOps.
  • Strong understanding of digital transformation frameworks and emerging tech trends.
  • Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

AI Strategy Digital Transformation R&D Cloud Architecture Leadership Enterprise Architecture Machine Learning

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