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Lead AI Strategist | 2026 Future Systems

2026 Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you a visionary leader ready to define the technological landscape of the next decade? 2026 Future Systems is seeking a distinguished Lead AI Strategist to drive our next-generation artificial intelligence initiatives.

In this pivotal role, you will be at the forefront of innovation, defining the strategic roadmap for our AI-powered products. You will collaborate with world-class engineers, designers, and executives to transform complex data into actionable intelligence that revolutionizes our industry. If you are passionate about the future of technology and possess a relentless drive for excellence, we want you on our team.

Responsibilities

  • Define and Execute Product Vision: Lead the strategic direction for AI product development, ensuring alignment with the company’s long-term goals and the technological landscape of 2026.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and secure buy-in from executive leadership.
  • Market Analysis: Conduct deep-dive research on emerging trends in Generative AI, Machine Learning, and Predictive Analytics to identify new growth opportunities.
  • Cross-Functional Leadership: Partner with engineering, design, and data science teams to deliver high-impact products that delight users and drive revenue.
  • Roadmap Management: Prioritize features and initiatives based on business value, technical feasibility, and market demand.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; MBA or Master’s degree is a strong plus.
  • Experience: 7+ years of experience in product management, with at least 3 years specifically in AI/ML or complex software engineering.
  • Strategic Mindset: Proven track record of defining product strategy for high-growth technology companies and launching successful products.
  • Technical Fluency: Deep understanding of machine learning algorithms, LLMs, and data architecture.
  • Leadership Skills: Demonstrated ability to lead and inspire diverse, cross-functional teams.

Required Skills

Artificial Intelligence Machine Learning Product Management Strategic Planning Data Analysis Agile Methodology LLMs Stakeholder Management

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