Job Description
We are standing at the edge of a new era, and our mission is to build the infrastructure for the year 2026. As the Senior AI Strategy Lead, you will not simply manage projects; you will architect the future of human-machine collaboration. We are seeking a visionary leader to drive our generative AI initiatives and define the roadmap that will define our industry for the next decade.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable product implementation. If you are passionate about the future of technology and want to leave a lasting legacy in the AI space, we want to hear from you.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic planning and execution of our AI product vision, ensuring alignment with long-term business objectives and emerging trends.
- Predictive Analytics: Spearhead the development of advanced predictive models to forecast market trends, user behavior, and technological shifts.
- Technical Leadership: Guide a high-performance team of data scientists and engineers in deploying scalable machine learning solutions on cloud infrastructure.
- Stakeholder Management: Translate complex technical concepts into compelling narratives for C-suite executives and investors to secure buy-in for ambitious projects.
- R&D Leadership: Stay ahead of the curve on emerging technologies, specifically focusing on LLMs, neural networks, and ethical AI frameworks.
- Agile Implementation: Oversee the agile development lifecycle to ensure rapid, high-quality delivery of AI features that drive user engagement.
Qualifications
- Experience: Minimum of 8 years in Artificial Intelligence, Machine Learning, or Product Strategy, with at least 3 years in a leadership role.
- Technical Mastery: Deep understanding of Python, TensorFlow, PyTorch, and large language model architectures.
- Strategic Mindset: Proven track record of defining product roadmaps and driving revenue growth through technology innovation.
- Leadership: Demonstrated ability to lead cross-functional teams and manage high-stakes projects with tight deadlines.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- Communication: Exceptional verbal and written communication skills, with the ability to influence diverse audiences.