Job Description
Are you ready to architect the future? Nexus Horizon Group is seeking a visionary Senior AI Strategist: 2026 Vision to lead our forward-thinking initiatives. In this pivotal role, you will define the strategic roadmap for our organization as we prepare to dominate the technological landscape of 2026 and beyond.
We are not just building software; we are shaping the future. You will work at the intersection of advanced Artificial Intelligence, predictive analytics, and long-term strategic planning. If you thrive in ambiguity and have a passion for defining what comes next, we want to meet you.
Why Join Us?
- Work on cutting-edge AI projects that define industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with hubs in SF and NYC.
Responsibilities
- Define and execute the long-term strategic vision for AI integration, specifically targeting the opportunities and challenges of the year 2026.
- Analyze emerging technology trends, including Generative AI, Quantum Computing, and Neural Interfaces, to provide actionable insights.
- Collaborate with cross-functional teams (Product, Engineering, R&D) to translate futuristic concepts into scalable product roadmaps.
- Identify and mitigate potential risks associated with rapid technological adoption.
- Present complex strategic data and future scenarios to C-level executives and stakeholders.
- Lead workshops to foster a culture of innovation and forward-thinking across the organization.
Qualifications
- 10+ years of experience in Strategic Planning, Business Intelligence, or AI/ML Management.
- Proven track record of leading high-impact initiatives in a fast-paced tech environment.
- Deep understanding of Artificial Intelligence architectures and their business applications.
- Exceptional analytical skills with the ability to forecast market shifts and technological capabilities.
- Strong verbal and written communication skills, capable of articulating complex ideas to diverse audiences.
- Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field (Master’s preferred).