Job Description
Are you ready to build the future today? At FutureForge Technologies, we are not just reacting to the next big thing—we are creating it. We are seeking a highly visionary 2026 AI & Spatial Computing Strategy Lead to architect our next-generation product ecosystem. In this role, you will bridge the gap between bleeding-edge research and market-ready solutions, ensuring our platform is primed for the massive technological shifts expected in 2026 and beyond.
If you are a forward-thinking technologist with a passion for artificial intelligence, spatial computing, and next-gen infrastructure, this is your opportunity to leave a lasting mark on the digital landscape. Join us in shaping tomorrow's reality.
Responsibilities
- Architect and drive the 2026 product roadmap focusing on advanced AI integration and spatial computing capabilities.
- Conduct deep-dive research into emerging technologies to identify disruptive opportunities for future market dominance.
- Collaborate with engineering, design, and product teams to translate futuristic concepts into actionable development sprints.
- Establish strategic partnerships with hardware manufacturers and AI research labs to accelerate our 2026 initiatives.
- Present quarterly vision reports to the executive board, highlighting progress, risks, and technological breakthroughs.
- Lead a cross-functional innovation task force dedicated to prototyping next-generation user interfaces and spatial environments.
- Ensure all future-facing strategies comply with upcoming global AI and data privacy regulations.
Qualifications
- 10+ years of experience in product strategy, advanced engineering, or technology leadership roles.
- Demonstrable expertise in Artificial Intelligence, Machine Learning, and Spatial Computing (AR/VR/XR) architectures.
- Proven track record of taking highly conceptual technical products from ideation to successful market launch.
- Exceptional communication skills, with the ability to articulate complex futuristic concepts to non-technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Strong understanding of next-generation infrastructure, including edge computing and neural processing units (NPUs).
- Ability to thrive in a fast-paced, highly ambiguous environment where innovation is the only constant.