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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Future-Ready AI Strategist (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are not just building for today; we are architecting the future. Nexus Horizon Labs is seeking a visionary Future-Ready AI Strategist to lead our charge toward the 2026 horizon. In this pivotal role, you will define the technological and strategic roadmap that will define the next era of human-machine collaboration.

You will bridge the gap between emerging AI trends and business execution, ensuring our solutions are scalable, ethical, and ahead of the curve. If you possess a keen eye for the future and the leadership skills to turn bold visions into reality, we want to hear from you.

Responsibilities

  • Define and execute the 2026 AI product and engineering roadmap, anticipating market shifts before they happen.
  • Lead cross-functional teams in integrating cutting-edge Generative AI and Autonomous Agents into core business workflows.
  • Conduct deep-dive research on emerging technologies (LLMs, Neural Architecture Search) to identify competitive advantages.
  • Collaborate with executive leadership to align technical vision with long-term business objectives and market expansion.
  • Establish robust governance frameworks for AI ethics, safety, and compliance in a rapidly evolving landscape.
  • Drive the adoption of predictive analytics to inform high-stakes business decisions.

Qualifications

  • 10+ years of experience in Product Management, Strategy, or Technical Leadership within the AI/ML sector.
  • Proven track record of building and scaling AI products from concept to market launch.
  • Deep understanding of the 2026 technological landscape, including next-gen neural networks and predictive analytics.
  • Strong analytical skills with the ability to translate complex data into actionable business strategies.
  • Exceptional communication skills, capable of articulating complex technical concepts to diverse stakeholders.
  • Master's degree in Computer Science, Engineering, or a related technical field preferred.

Required Skills

Artificial Intelligence Machine Learning Strategy Product Management Roadmap Generative AI Predictive Analytics Leadership

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