Job Description
At Chronos Dynamics, we don't just predict the future; we architect it. We are looking for a visionary Head of Future Systems & AI Strategy to lead our mission towards the year 2026 and beyond. As the landscape of technology accelerates, your role will be pivotal in defining the roadmap that integrates Artificial Intelligence, Quantum Computing, and next-gen infrastructure.
In this high-impact position, you will bridge the gap between theoretical innovation and executable strategy. You will guide a cross-functional team of engineers, data scientists, and product visionaries to build the foundational systems required for a hyper-connected, autonomous future. If you are a strategic leader with a passion for the bleeding edge of technology, we want to hear from you.
Why Join Us?
- Shape the trajectory of technology for the next decade.
- Work in a state-of-the-art facility in the heart of San Francisco.
- Competitive compensation package and equity options.
- Access to cutting-edge R&D resources.
Responsibilities
- Strategic Vision: Define and execute the long-term technical roadmap for the company’s transition into the 2026 era, focusing on AI scalability and system integration.
- R&D Leadership: Oversee research initiatives in predictive analytics, machine learning, and autonomous systems to ensure Chronos Dynamics remains at the forefront of innovation.
- Cross-Functional Collaboration: Partner with C-suite executives, product managers, and engineering leads to align technical strategy with business goals.
- Resource Allocation: Manage budgets and resources for high-impact projects, prioritizing initiatives that drive the most value toward the 2026 vision.
- Market Analysis: Monitor emerging technologies and competitive landscapes to identify opportunities for technological disruption and adaptation.
- Team Building: Recruit, mentor, and retain top-tier talent in a fast-paced, high-growth environment.
Qualifications
- Experience: 10+ years of experience in technology leadership, with at least 5 years specifically in AI strategy or Future Systems architecture.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or MBA is highly preferred.
- Technical Fluency: Deep understanding of Artificial Intelligence, Machine Learning, Cloud Infrastructure, and emerging tech trends (e.g., Edge Computing, Quantum Readiness).
- Strategic Mindset: Proven track record of developing and implementing long-term technical strategies that drive business growth.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Adaptability: Demonstrated ability to thrive in ambiguity and lead teams through rapid technological change.