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Information Technology 🏒 Full Time ⭐️ Verified

Future of Work & AI Strategy Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Future of Work & AI Strategy Lead to architect the technological horizon for 2026 and beyond. At Nexus Future Labs, we don't just predict the future; we build it. You will be at the epicenter of a revolution, defining how autonomous agents and advanced generative models will reshape the global workforce and business ecosystems. If you are a thought leader with a passion for cutting-edge technology and strategic foresight, this is your opportunity to drive the next era of innovation.

In this pivotal role, you will bridge the gap between abstract future concepts and actionable business strategy. You will lead a cross-functional team of futurists, engineers, and data scientists to prototype and deploy solutions that define the standard for the coming decade. Join us in shaping a world where human potential is amplified by intelligent systems.

Responsibilities

  • Architect the comprehensive 2026 technology roadmap, focusing on AI-driven automation and predictive analytics.
  • Lead a high-performance team of futurists and engineers to prototype next-gen digital interfaces.
  • Identify and evaluate emerging technologies (e.g., Quantum Computing, Neuro-Linguistic Interfaces) to drive competitive advantage.
  • Collaborate with C-Suite executives to align technical vision with business objectives.
  • Oversee strategic partnerships with leading research institutions and tech innovators.
  • Establish frameworks for ethical AI deployment and data governance in future environments.

Qualifications

  • 10+ years of experience in senior leadership roles within the tech sector, with a focus on innovation strategy.
  • Proven track record of successfully launching disruptive technologies in competitive markets.
  • Deep understanding of Generative AI, Machine Learning, and the Future of Work paradigms.
  • Master’s degree in Computer Science, Business Administration, or a related technical field.
  • Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.
  • Demonstrated ability to thrive in ambiguity and navigate rapid market shifts.

Required Skills

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

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