Job Description
Are you ready to shape the future? At FutureForge Technologies, we are looking for a visionary 2026 AI Strategy Lead to architect our next-generation product ecosystem. As we approach 2026, the convergence of generative AI, spatial computing, and autonomous systems is accelerating. We need a forward-thinking strategist to ensure our technology stack and product offerings remain years ahead of the curve.
In this high-impact role, you will bridge the gap between cutting-edge research and scalable enterprise solutions. You will work directly with the C-suite to define our 2026 technology roadmap, drive AI integration across all business units, and establish FutureForge as the undisputed market leader in next-generation tech.
Responsibilities
- Architect and drive the overarching 2026 AI and emerging technology product roadmap.
- Collaborate with engineering, product, and marketing teams to align strategic initiatives with market demands.
- Evaluate and integrate next-generation AI models, spatial computing platforms, and automation tools.
- Conduct deep-dive market analysis to identify disruptive trends and capitalize on new revenue streams.
- Lead cross-functional workshops to foster a culture of continuous innovation and future-proofing.
- Present quarterly strategic updates and ROI forecasts to the executive board and key stakeholders.
- Establish strategic partnerships with leading AI research labs and technology vendors.
Qualifications
- 8+ years of experience in technology strategy, product management, or AI development.
- Proven track record of successfully launching and scaling AI-driven products in a fast-paced environment.
- Deep understanding of large language models (LLMs), generative AI, and spatial computing trends.
- Exceptional leadership and communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field.
- Strong analytical mindset with expertise in data-driven decision-making and financial forecasting.
- Experience working with enterprise-level software architecture and cloud infrastructure (AWS, GCP, or Azure).