Job Description
Are you ready to build the future? At FutureForge AI, we are not just reacting to the current tech landscape; we are architecting it. We are seeking a visionary Lead AI Product Strategist to spearhead our 2026 technology roadmap. Based in the heart of San Francisco, you will bridge the gap between cutting-edge AI research and transformative enterprise products. If you are a forward-thinking leader passionate about shaping next-generation AI solutions, this is your opportunity to leave a lasting mark on the industry.
Why Join Us?
We offer a dynamic, collaborative environment where innovation is celebrated. You will work alongside world-class engineers and researchers to bring 2026's most anticipated AI capabilities to market today. Enjoy highly competitive compensation, comprehensive benefits, and equity in a rapidly scaling tech pioneer.
Responsibilities
- Architect and drive the comprehensive product strategy for our 2026 AI initiatives, ensuring alignment with overarching business objectives.
- Collaborate cross-functionally with machine learning engineers, data scientists, and UX designers to translate complex AI models into intuitive user experiences.
- Conduct deep market research to identify emerging trends, ensuring our 2026 roadmap remains ahead of the technological curve.
- Define key performance indicators (KPIs) for product success and implement rigorous A/B testing frameworks.
- Lead go-to-market strategies for new AI product launches, partnering closely with marketing and sales teams.
- Present product vision, strategy, and progress updates to executive leadership and key stakeholders.
- Mentor junior product managers, fostering a culture of continuous learning and innovative thinking.
Qualifications
- 5+ years of proven experience in product management, specifically within Artificial Intelligence, Machine Learning, or SaaS environments.
- Demonstrated ability to develop and execute long-term (2-3 year) product roadmaps.
- Strong technical acumen, with a deep understanding of Large Language Models (LLMs), neural networks, and data infrastructure.
- Exceptional communication and presentation skills, capable of articulating complex technical concepts to non-technical audiences.
- Bachelor's degree in Computer Science, Engineering, Business, or a related field (Master's or MBA preferred).
- Experience working in fast-paced, high-growth tech startups or leading enterprise tech companies.
- A visionary mindset with a passion for anticipating future technological shifts and user needs.