Manager, Engineering | ML Infrastructure & Tooling

At ExtraHop we provide best-in-class network visibility and security. The Machine Learning Infrastructure team owns the tools that empower the development of new machine learning models and data intelligence at ExtraHop. Scalability, efficiency and experimentation is the lifeblood of machine learning. Our goal is to make it fast, easy, and cost effective to design, code, deploy, perform experiments, and to develop and support the production environment to deliver cybersecurity detections in a timely manner. As an Engineering Manager of this team, you will drive and develop the team on design and build infrastructure and tooling to support ongoing research and scalability efforts. You will attract, develop and cultivate a great engineering team and environment to maintain our technical leadership in the industry.

Responsibilities

Drive and develop the team on design and build infrastructure and tooling to support ongoing research and scalability efforts; Attract, develop and cultivate a great engineering team and environment; Guide development team on responsibilities including shepherding day-to-day design decisions, product roadmap progress, and long-term architectural and technology choices while encouraging healthy work-life balance; Work as a product owner to deliver on the product vision and feature priorities; Make tough tradeoffs to balance scope, quality, supportability, performance, and time criticality; Guide the team through design/implementation for complex technical projects; Work closely with internal stakeholders to ensure the product meets quality/stability requirements of enterprise customers; Manage end to end product ownership, from planning and design to on call product support; Manage/fix/communicate issues that arise during escalations/customer issues

Requirements

BS degree or equivalent in CS or a related Engineering Field; 7+ years experience in software development and 3+ years in team lead/management role; Managed teams that have delivered machine learning cloud infrastructure and features through design, architecture, and development; Experience in cloud infrastructure as well as infrastructure as code, database design or SQL query performance optimization; Familiarity with machine learning models, such as LLMs, Clustering and Anomaly Detection; Solid understanding of DevOps practices, CI/CD pipelines, and strategies for achieving scalability and availability; Basic understanding of threat detection, intrusion prevention, and incident response strategies; Experience in software development life cycle using agile methodologies; Excellent organizational and interpersonal skills

Benefits

Health, Dental, and Vision Benefits; Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time; Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan; FSA and Dependent Care Accounts + EAP, where applicable; Educational Reimbursement; 401k with Employer Match or Pension where applicable; Pet Insurance (US Only); Parental Leave (US Only); Hybrid and Remote Work Model