Job Description
Are you ready to shape the future of technology? Horizon Future Technologies is seeking a visionary Lead AI Product Strategist to own and drive our ambitious 2026 product roadmap. In this high-impact role, you will bridge the gap between cutting-edge AI research and market-ready enterprise solutions. If you are passionate about building next-generation AI products that will define the technological landscape of 2026 and beyond, we want you on our team.
We offer a dynamic, fast-paced environment where your ideas will directly influence our global strategy. You will work alongside world-class engineers, data scientists, and designers to bring futuristic concepts into reality today.
Responsibilities
- Define, communicate, and execute the comprehensive AI product vision and roadmap targeted for our 2026 strategic milestones.
- Collaborate closely with engineering and data science teams to translate complex AI capabilities into scalable, user-centric product features.
- Conduct deep market research to identify emerging trends, competitive landscapes, and future opportunities in the AI space.
- Partner with executive stakeholders to align product strategies with overarching business objectives and secure buy-in.
- Establish key performance indicators (KPIs) to measure product success, user adoption, and market penetration.
- Champion ethical AI practices, ensuring all 2026 initiatives meet rigorous standards for safety, privacy, and fairness.
- Lead cross-functional agile teams through the entire product lifecycle, from ideation to launch and iteration.
Qualifications
- 5+ years of experience in Product Management, specifically within AI, Machine Learning, or Deep Tech sectors.
- Proven track record of successfully launching and scaling AI-driven software products from scratch.
- Deep understanding of Large Language Models (LLMs), Generative AI, and modern AI infrastructure.
- Exceptional communication and presentation skills, capable of articulating complex technical concepts to non-technical audiences.
- Bachelor's degree in Computer Science, Engineering, or a related field (MBA or Master's degree strongly preferred).
- Strong analytical and problem-solving skills, with a data-driven approach to decision making.
- Experience working in a fast-paced, agile startup or high-growth tech environment.