Job Description
The Future of Technology Awaits.
Nexus Future Labs is pioneering the next generation of intelligent systems. We are seeking a visionary Senior AI Product Strategist to help architect our roadmap for 2026 and beyond. In this high-impact role, you will bridge the gap between complex engineering capabilities and market needs, driving innovation in Artificial Intelligence and Machine Learning.
You will be responsible for identifying emerging trends, defining product roadmaps, and leading cross-functional teams to deliver breakthrough solutions. If you are passionate about the future of tech and want to shape the landscape for the next decade, we want to hear from you.
Responsibilities
- Define the 2026 Vision: Create and maintain a long-term product strategy roadmap aligned with the company's mission to revolutionize the AI landscape.
- Market Analysis: Conduct deep-dive research on emerging AI trends, competitor activities, and user behavior to identify new product opportunities.
- Stakeholder Management: Collaborate with executive leadership, engineering teams, and marketing departments to translate technical concepts into compelling business narratives.
- Product Roadmap Execution: Prioritize features and initiatives, ensuring resources are allocated efficiently to meet strategic milestones.
- Innovation Leadership: Champion a culture of experimentation and agility, fostering an environment where novel ideas can flourish.
- R&D Collaboration: Work closely with data scientists and engineers to validate technical feasibility and drive product iterations.
Qualifications
- Experience: 7+ years of experience in product management, strategy, or a related technical field, with at least 3 years in AI or advanced technology sectors.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Business Administration, or a related discipline.
- Strategic Mindset: Demonstrated ability to think long-term (5-10 year horizon) while executing short-term tactical goals.
- Technical Fluency: Strong understanding of AI/ML concepts, cloud architecture, and data analytics tools.
- Leadership Skills: Proven track record of leading cross-functional teams and driving projects to completion in a fast-paced environment.
- Communication: Exceptional verbal and written communication skills, with the ability to simplify complex technical topics for diverse audiences.