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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist | AI & Automation Lead

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Vanguard of Tomorrow.

Nexus Horizon Inc. is seeking a visionary Future Tech Strategist to architect the technological landscape for 2026 and beyond. In this pivotal role, you will bridge the gap between emerging AI capabilities and long-term business goals, ensuring our infrastructure is ready for the next decade of innovation.

We are not just building software; we are defining the future of human-machine interaction. If you have a passion for predicting trends and a strategic mind for execution, we want to meet you.

Responsibilities

  • Define the 2026 Technology Roadmap: Collaborate with C-suite executives to align technical initiatives with the company’s long-term vision.
  • Lead AI & Automation Strategy: Spearhead the integration of generative AI and autonomous systems into core business workflows.
  • Monitor Emerging Tech Trends: Conduct deep-dive research into quantum computing, neural interfaces, and blockchain to identify competitive advantages.
  • Oversee R&D Initiatives: Manage a portfolio of experimental projects, from concept to prototype, ensuring high-risk, high-reward outcomes.
  • Cross-Functional Leadership: Partner with engineering, product, and design teams to translate complex technical concepts into actionable roadmaps.
  • Stakeholder Communication: Present complex future-state scenarios to non-technical stakeholders to secure buy-in and funding.

Qualifications

  • Strategic Leadership: 10+ years of experience in technology strategy, product management, or engineering leadership.
  • Tech Forward Thinking: Deep understanding of AI, machine learning, and predictive analytics.
  • Certified Expertise: PMP or MBA preferred; familiarity with emerging tech frameworks (e.g., Tech Radar).
  • Communication: Exceptional ability to distill complex technical data into clear, compelling narratives.
  • Adaptability: Proven track record of thriving in fast-paced, ambiguous environments.
  • Education: Bachelor’s degree in Computer Science, Engineering, or Business Administration (Master’s preferred).

Required Skills

Artificial Intelligence Machine Learning Strategy Leadership Product Management R&D Future Tech Automation

Ready to Take This Challenge?

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