**About Cyera **
Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
**About the Role**
As an AI Research Team Lead on Cyera’s Research group, you will mentor a talented team of researchers, set the strategic vision for research initiatives, and drive team-wide project goals. You’ll partner closely with Product and Engineering leadership to turn open-ended data-security challenges into measurable experiments and shipped features. You will manage the critical balance between research exploration and product delivery, owning the end-to-end lifecycle—from problem framing and data strategy to evaluation, deployment, and ongoing monitoring—helping customers discover, protect, and govern their data at scale.
**What You’ll Do**
• Lead and mentor a team of AI researchers, fostering a culture of excellence and innovation while overseeing the end-to-end research lifecycle.
• You will act as the technical and strategic lead, defining team priorities, roadmap, and data science methodologies.
• Mentor and grow team members through technical guidance, career development, and peer reviews.
• Collaborate with cross-functional leadership in Product and Engineering to align research efforts with core business objectives and customer needs.
• Manage team performance, resource allocation, and timely project delivery within an agile environment.
• Develop, evaluate, and maintain deep learning and NLP solutions to enhance Cyera’s core capabilities in sensitive data classification.
• Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems
• Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification.
• Join a “full stack” AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise.