Manager, Engineering | ML Infrastructure & Tooling

Position Summary

At ExtraHop we provide best-in-class network visibility and security to industries ranging from healthcare to payment processing. We don't just solve problems for our users, we help them rise above the noise of threats, alerts, and corporate gridlock. Our products enable organizations to harness the power of their wire data and achieve true security and exceptional performance. 

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 on the Machine Learning Infrastructure team 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. 

You will guide the development team on responsibilities that include shepherding day-to-day design decisions, product roadmap progress, and long-term architectural and technology choices while encouraging healthy work-life balance. You listen to your employees and value their opinions. You believe that great things happen when engineering teams are empowered, have clear goals and a leader that removes roadblocks. 

Key Responsibilities

Work as a product owner to deliver on the product vision and feature priorities. You should have a strong track record of making tough tradeoffs to balance scope, quality, supportability, performance, and time criticality.

• Guide the team through design/implementation for complex technical projects. 
• Work closely with the internal stakeholders  to ensure the product meets quality/stability requirements of enterprise customers, leveraging experience inventing and improving technology of performance/stability/scale. 
• 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.

Required Qualifications

• 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
• Basic understanding of threat detection, intrusion prevention, and incident response strategies.

The salary range for this role is $170,000 - $195,000 + bonus + benefits