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Information Technology 🏢 Full Time ⭐️ Verified

AI & Future Tech Strategy Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

In the rapidly evolving landscape of 2026, strategic foresight is our most valuable asset. Nexus Future Labs is seeking a visionary AI & Future Tech Strategy Lead to architect the next generation of intelligent systems.


We are at the precipice of a technological revolution, merging generative AI with quantum computing. You will be responsible for defining our long-term trajectory, ensuring ethical alignment, and leading a world-class team in innovation.


Why Join Us? We are building the infrastructure for the future. You will have the autonomy to shape policies, drive research agendas, and deploy solutions that redefine human-machine interaction.

Responsibilities

  • Orchestrate the 2026 Technology Roadmap: Define and execute the strategic vision for our AI infrastructure, identifying key opportunities in generative models and autonomous agents.
  • Lead AI Ethics & Governance: Establish frameworks to ensure responsible AI deployment, mitigating bias and aligning with global regulatory standards.
  • Spearhead Innovation: Identify emerging technologies—such as Neural Interfaces and Edge AI—and assess their viability for integration into our core products.
  • Cross-Functional Leadership: Collaborate with engineering, product, and legal teams to bridge the gap between theoretical research and commercial application.
  • Thought Leadership: Represent Nexus Future Labs at industry conferences, publishing white papers that shape the discourse on the future of technology.
  • Strategic Partnerships: Forge alliances with academic institutions and research labs to stay ahead of the curve in AGI development.

Qualifications

  • Strategic Vision: 7+ years of experience in technology strategy, with a specific focus on Artificial Intelligence and Future Tech trends.
  • Technical Acumen: Deep understanding of Large Language Models (LLMs), computer vision, and the ethical implications of AGI (Artificial General Intelligence).
  • Leadership Excellence: Proven track record of leading high-performing teams in a fast-paced, agile environment.
  • Communication: Exceptional ability to translate complex technical concepts into compelling narratives for diverse stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or Business; MBA or Master’s in a technical field is a plus.
  • Adaptability: Demonstrated ability to thrive in ambiguity and pivot strategies based on market intelligence.

Required Skills

Artificial Intelligence Machine Learning Strategy Ethics Generative AI Quantum Computing Leadership AGI Roadmap Planning

Ready to Take This Challenge?

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