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Information Technology 🏢 Full Time ⭐️ Verified

Strategic AI & Future Tech Lead

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Strategic AI & Future Tech Lead to architect the technological roadmap for the year 2026 and beyond. As we stand on the precipice of a new era in artificial intelligence and quantum computing, you will be responsible for identifying emerging trends and translating them into actionable business strategies. This is a high-impact role for a leader who wants to define the future of work and technology.

In this position, you will collaborate with C-suite executives to align our innovation pipeline with market demands. You will oversee the integration of advanced AI models, ethical frameworks, and scalable infrastructure to ensure our company remains at the forefront of the industry.

Responsibilities

  • Define the 2026 Vision: Create and communicate a long-term technology roadmap that aligns with business objectives and emerging global trends.
  • Strategic Innovation: Identify and evaluate emerging technologies (e.g., generative AI, edge computing, quantum readiness) and determine their application within the organization.
  • Leadership & Mentorship: Lead a cross-functional team of engineers, data scientists, and strategists to drive the execution of innovation initiatives.
  • Roadmap Execution: Manage the prioritization and delivery of high-impact technical projects, ensuring milestones are met on time and within budget.
  • Partnership Building: Establish partnerships with key tech vendors, academic institutions, and industry think tanks to stay ahead of the curve.
  • Risk Management: Assess the ethical and security implications of new technologies and implement robust governance frameworks.

Qualifications

  • Experience: 10+ years of experience in technology strategy, AI development, or a related field, with at least 3 years in a leadership or strategic planning capacity.
  • Technical Expertise: Deep understanding of current AI capabilities, machine learning lifecycles, and future tech trends relevant to 2026.
  • Strategic Thinking: Proven track record of translating complex technical concepts into clear business strategies.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical field; Master’s degree is preferred.
  • Communication: Exceptional ability to communicate complex ideas to non-technical stakeholders and executive leadership.
  • Adaptability: Demonstrated ability to thrive in a fast-paced, agile environment and pivot strategies based on market shifts.

Required Skills

Artificial Intelligence Strategic Planning Future Tech Quantum Computing Leadership Machine Learning Roadmapping Cross-functional Collaboration

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