AI and Data Team Manager

We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd, visit www.bugcrowd.com. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others.

We’re seeking a hands-on Manager for the AI and Data Science team. This role will manage a high-performing team dedicated to developing data-driven and AI-powered systems that significantly enhance our offensive security capabilities. Your primary focus (70%) will be on setting the technical direction, guiding the team in building scalable data pipelines, and training and deploying predictive models to solve complex cybersecurity challenges. This leadership role also includes mentoring and managing the team. This position is ideal for someone who excels in the technical execution of AI and Data engineering and is ready to lead the development of our next-generation, AI-driven preemptive cybersecurity product alongside a group of exceptional engineers.

Essential Duties and Responsibilities

• Lead Technical Strategy & Execution: Define and drive the technical roadmap for AI, ML, and data systems, overseeing development, deployment, and operationalization to ensure robust performance, scalability, and direct alignment with key business strategy and requirements.
• Team Leadership & Mentorship: Lead, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical excellence, accountability, and continuous learning.
• AI/ML/Generative Systems Development: Direct the entire lifecycle—from design to deployment—of robust data pipelines, scalable model training, and innovative AI/ML applications. Focus on leveraging these systems to significantly boost analyst and hacker productivity across critical offensive security use cases.
• Model Development and Platform Integration: Guide the development, tuning, deployment, and MLOps of Machine Learning models for cybersecurity. Ensure secure and compliant integration of cutting-edge generative AI models (via platforms like AWS Bedrock, OpenAI, Anthropic) with internal APIs and sensitive security datasets.
• Data Architecture Governance: Architect, govern, and optimize large-scale, high-performance data pipelines essential for sec