Job Description
Are you ready to define the roadmap for the next generation of intelligence? Nexus Horizon Systems is seeking a visionary Senior AI & Future Tech Strategist to architect the future landscape of our industry. In this pivotal role, you won't just be managing technology; you will be leading the strategic integration of emerging technologies to drive competitive advantage.
We are looking for a thought leader who thrives in ambiguity and can translate complex futuristic concepts into actionable business strategies. If you are passionate about the intersection of ethics, scalability, and artificial general intelligence, we want to hear from you.
Why Join Us?
- Work at the forefront of innovation with a company defining the 2026 tech horizon.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Define and execute the long-term AI strategy, specifically focusing on technologies relevant to 2026 and beyond.
- Lead cross-functional teams in researching and deploying next-generation machine learning models and neural architectures.
- Identify and evaluate emerging technologies (e.g., quantum computing, neuromorphic chips) for potential integration.
- Collaborate with C-suite executives to secure budget and resources for high-risk, high-reward R&D initiatives.
- Establish governance frameworks for ethical AI deployment, ensuring compliance with evolving regulations.
- Conduct deep market analysis to identify disruptive trends and competitive advantages in the AI sector.
- Mentor junior strategists and data scientists to foster a culture of continuous learning.
Qualifications
- 10+ years of experience in Technology Strategy, AI, or Data Science leadership roles.
- Master’s degree in Computer Science, Data Science, or Business Administration (MBA preferred).
- Proven track record of leading large-scale digital transformation projects from conception to launch.
- Deep understanding of machine learning algorithms, NLP, and generative AI capabilities.
- Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience in managing high-performance teams in a fast-paced, agile environment.
- Strong understanding of data privacy laws and ethical AI principles.