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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Manager 2026

FuturTech Innovations
San Francisco
Estimated Salary
USD 175.000 – USD 225.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Join FuturTech Innovations as we pioneer the next wave of AI-driven transformation. We're seeking a visionary AI Strategy Manager 2026 to architect our roadmap for emerging technologies that will redefine industries by 2026. This role blends cutting-edge AI expertise with strategic foresight, ensuring we lead the market in ethical, scalable AI solutions. You'll collaborate with C-suite executives to align AI initiatives with business goals, driving innovation that impacts billions.

At FuturTech, we thrive on ambiguity and rapid iteration. You'll lead cross-functional teams in prototyping AI systems for autonomous infrastructure, climate modeling, and personalized healthcare. Our culture rewards intellectual curiosity and bold experimentation—perfect for someone passionate about shaping tomorrow's technological landscape.

Responsibilities

  • Develop 2026 AI strategy roadmaps integrating quantum computing, neuromorphic chips, and federated learning
  • Lead cross-functional teams in deploying AI prototypes for Fortune 500 clients
  • Architect ethical AI governance frameworks ensuring compliance with evolving regulations
  • Drive partnerships with academic institutions to pioneer next-gen AI research
  • Present strategic initiatives to investors and board members securing $50M+ in funding
  • Mentor senior engineers in developing low-latency, edge-optimized AI models
  • Quantify ROI of AI initiatives through predictive analytics and market impact modeling

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in leadership roles
  • Proven track record deploying AI systems at scale (>10M users)
  • Expertise in federated learning, generative adversarial networks, and explainable AI
  • PhD in Computer Science, AI, or related field or equivalent industry impact
  • Experience securing $50M+ in AI research funding or venture capital
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Deep understanding of EU AI Act and global AI regulatory landscapes
  • Fluency in Python, TensorFlow, and cloud-native AI deployment (AWS/Azure)

Required Skills

AI Strategy Machine Learning Quantum Computing Ethical AI Federated Learning Generative AI Leadership Venture Capital

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