Job Description
Shape the Future of Technology
We are looking for a visionary 2026 AI & Future Tech Strategist to lead Horizon Innovations into the next technological frontier. In this pivotal role, you will define the roadmap for our AI initiatives, ensuring we remain at the cutting edge of innovation by the year 2026 and beyond.
You will act as a bridge between technical execution and high-level corporate strategy, identifying emerging trends in Generative AI, Quantum Computing, and Autonomous Systems to drive competitive advantage.
Why Join Us?
- Work on groundbreaking projects that define the industry.
- Competitive compensation and comprehensive benefits package.
- Flexible remote and hybrid work options.
- Access to state-of-the-art research facilities and tools.
Responsibilities
- Define the 2026 Technology Roadmap: Lead the strategic vision for integrating advanced AI solutions, forecasting technological needs, and aligning them with business goals.
- Emerging Trend Analysis: Continuously monitor and evaluate emerging technologies (e.g., AGI, Neural Interfaces) to identify opportunities for product innovation and operational efficiency.
- Cross-Functional Leadership: Collaborate with engineering, product, and executive teams to translate complex technical concepts into actionable business strategies.
- Pilot Program Management: Spearhead the development and testing of proof-of-concept AI pilots to validate feasibility before full-scale deployment.
- Stakeholder Communication: Present complex technical strategies to non-technical stakeholders, ensuring alignment and securing buy-in for long-term investments.
- Talent Acquisition Strategy: Partner with HR to define the technical skill sets required for the future workforce, advising on hiring and training initiatives.
Qualifications
- Strategic Vision: 8+ years of experience in technology strategy, product management, or AI research, with a proven track record of forecasting industry trends.
- Technical Expertise: Deep understanding of Artificial Intelligence, Machine Learning architectures, and emerging tech stacks relevant to 2026.
- Leadership Skills: Demonstrated ability to lead cross-functional teams and manage high-stakes projects from conception to execution.
- Problem Solving: Strong analytical skills with the ability to deconstruct complex problems and devise innovative, scalable solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to influence stakeholders at all levels.
- Education: Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field; Master’s degree preferred.