Engineering Manager – AI and Data Team

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Bugcrowd

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $30M Series D on 2020-04

Consulting • Healthcare • Logistics

Bugcrowd is a leading platform that provides continuous security testing solutions, enabling organizations to stay ahead of cyberthreats. By leveraging a global community of trusted security researchers, Bugcrowd offers services such as penetration testing as a service, vulnerability disclosure, bug bounty programs, and attack surface management. The company assists industries such as financial services, healthcare, and technology in identifying and prioritizing vulnerabilities, ensuring proactive protection against potential cyber attacks. Driven by data and AI, Bugcrowd's comprehensive approach integrates seamlessly with existing systems to streamline the remediation of security issues, enhancing the overall security posture of its clients.

📋 Description

• Define and drive the technical roadmap for AI, ML, and data systems • Lead, mentor, and grow a team of data scientists and ML engineers • Direct the lifecycle of robust data pipelines, scalable model training, and innovative AI/ML applications • Guide the development and MLOps of Machine Learning models for cybersecurity • Architect, govern, and optimize large-scale data pipelines • Collaborate closely with infrastructure teams • Serve as the primary technical subject matter expert and liaison • Establish and manage best-in-class MLOps practices • Oversee the design of robust, high-availability APIs

🎯 Requirements

• 5+ years of experience in Data Science, ML Engineering, or Data Engineering, with 2+ years in a technical leadership or team lead role. • Strong architectural understanding of LLM technologies, RAG architectures, prompt engineering, ML Ops, and secure API integration with AI systems. • Deep expertise with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks. • Proven experience successfully leading a team to build and deploy end-to-end ML pipelines—from data ingestion to model deployment, monitoring, and MLOps. • Ability to design, manage, and govern secure data-driven software architectures for large-scale, multi-tenant, and high-security environments. • Excellent communication skills with a demonstrated ability to mentor engineers, influence technical direction, and present complex concepts to both technical and non-technical audiences.

🏖️ Benefits

• Discretionary bonus program or commission plan