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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI & Future Tech Strategist to lead our roadmap for 2026. At Nexus Future Labs, we are building the infrastructure of tomorrow, and we need a thought leader who can bridge the gap between theoretical innovation and practical application. If you are passionate about shaping the technological landscape of the next decade, this is your opportunity to make a significant impact.


Why Join Us?

  • Work at the forefront of AI and emerging technologies.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Define and execute the technical vision and roadmap for the 2026 product suite, focusing on AI integration and future scalability.
  • Lead cross-functional teams in the research, development, and deployment of cutting-edge AI solutions.
  • Identify emerging technologies and trends (e.g., AGI, Quantum Computing) and evaluate their potential impact on our business strategy.
  • Collaborate with C-level executives to align technology initiatives with long-term business goals.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Oversee the architecture of large-scale systems ensuring high performance, security, and ethical AI compliance.

Qualifications

  • 10+ years of experience in software engineering, data science, or product strategy, with at least 5 years in a leadership role.
  • Proven track record of defining successful technology roadmaps for major projects.
  • Deep expertise in Machine Learning, Neural Networks, and Generative AI.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and distributed systems.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.

Required Skills

Python Machine Learning Strategy Data Science Cloud Computing Leadership AI Architecture 2026 Roadmap

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