Job Description
Are you ready to architect the future of artificial intelligence?
Nexus Future Labs is seeking a Senior AI Product Strategist to lead our 2026 roadmap. In this pivotal role, you will bridge the gap between cutting-edge technology and visionary business strategy. We are not just building tools for today; we are defining the landscape of tomorrow. If you possess an insatiable curiosity for the next generation of AI and a proven track record of steering high-impact products to market, we want to hear from you.
As a key member of our executive strategy team, you will define the product vision, drive innovation, and ensure our solutions remain ahead of the curve.
Why Join Us?
- Impactful Work: Shape the AI infrastructure that will define the next decade.
- Equity Package: Competitive stock options in a high-growth unicorn.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Apply today to become a 2026 Visionary.
Responsibilities
- Define and articulate the comprehensive 2026 AI product vision and long-term strategy.
- Lead cross-functional teams (Engineering, Design, Data Science) to deliver high-impact AI solutions.
- Conduct deep-dive market research to identify emerging trends and competitive advantages.
- Prototype and validate futuristic concepts to ensure feasibility and market fit.
- Collaborate with executive stakeholders to secure budget and resources for ambitious projects.
- Oversee the product lifecycle from ideation to global launch.
- Establish metrics for success and continuously iterate based on user feedback.
Qualifications
- 10+ years of experience in Product Management or Strategic Consulting, with a focus on AI/ML.
- Proven track record of launching successful technology products in competitive markets.
- Strong understanding of Generative AI, LLMs, and future web technologies.
- Exceptional analytical skills with the ability to translate complex data into actionable business insights.
- Excellent communication and leadership skills to influence diverse teams.
- Experience in scaling products from early-stage to enterprise-level adoption.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field (Master’s preferred).