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Information Technology 🏢 Full Time ⭐️ Verified

Future of AI Strategist | Architecting 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the trajectory of technology for the year 2026 and beyond? Nexus Future Labs is seeking a visionary Future of AI Strategist to lead our roadmap in defining the next era of human-machine collaboration.

In this high-impact role, you will not just react to trends; you will anticipate the technological landscape of 2026. You will be at the helm of our most ambitious initiatives, bridging the gap between theoretical AI research and scalable, real-world product applications.

Why This Role?

We are building the infrastructure for the 2026 workforce. If you have a passion for the intersection of strategy, ethics, and artificial intelligence, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Define the 2026 Vision: Create and maintain a long-term product strategy that aligns with the emerging technological capabilities expected in 2026.
  • Lead Strategic Initiatives: Spearhead the development of autonomous AI agents and next-generation machine learning platforms.
  • Market Intelligence: Conduct deep-dive analysis into AI regulatory changes and market shifts to mitigate risk and seize opportunities.
  • Stakeholder Management: Collaborate with C-suite executives, engineers, and designers to translate strategic goals into executable product roadmaps.
  • R&D Leadership: Partner with R&D teams to validate hypotheses and drive innovation in Generative AI and Predictive Modeling.

Qualifications

  • Experience: 8+ years in Product Management, Strategy, or AI Research with a focus on future trends.
  • Technical Fluency: Deep understanding of Large Language Models (LLMs), NLP, and the ethical implications of AI deployment.
  • Strategic Mindset: Proven ability to forecast market trajectories and pivot strategies effectively.
  • Leadership: Demonstrated success in leading cross-functional teams in a fast-paced, high-growth environment.
  • Education: Bachelor’s degree in Computer Science, Engineering, or Business; Master’s degree preferred.

Required Skills

Artificial Intelligence Product Strategy Machine Learning Roadmapping Leadership Future Tech AI Ethics Generative AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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