Manager, Engineering | ML Infrastructure & Tooling
ExtraHop · United States
- Hybrid
- Full-time
- $185,000 / year
- United States
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Job highlights
- Lead ML infrastructure and tooling development.
- Manage and grow a high-performing engineering team.
- Drive product vision and technical roadmap.
- Ensure scalability, efficiency, and cost-effectiveness.
- Empower team to deliver cybersecurity detections.
About the role
About ExtraHop
ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments.This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise.
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 are 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 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 of experience in software development and 3+ years in a 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.
Key skills/competency
- Machine Learning Infrastructure
- Engineering Management
- Cloud Infrastructure
- DevOps
- CI/CD
- Scalability
- Performance Optimization
- Agile Methodologies
- Team Leadership
- Software Development
Skills & topics
- Machine Learning
- Infrastructure
- Tooling
- Engineering Management
- Cloud Computing
- DevOps
- Software Development
- Cybersecurity
- Team Leadership
- Agile
How to get hired
- Tailor your resume: Highlight your experience in ML infrastructure, cloud, and team leadership. Quantify achievements with data.
- Craft a compelling cover letter: Express your passion for ExtraHop's mission and how your skills align with the Manager, Engineering role.
- Prepare for technical interviews: Review ML concepts, cloud architecture, DevOps, and system design.
- Showcase leadership skills: Be ready to discuss your management style and how you empower teams.
- Research ExtraHop: Understand their products, values, and recent achievements to ask informed questions.
Technical preparation
Master ML concepts and algorithms.,Review cloud infrastructure and IaC.,Understand DevOps and CI/CD pipelines.,Practice system design and optimization.
Behavioral questions
Describe a time you led a team.,How do you handle technical tradeoffs?,How do you foster team growth?,Tell me about a challenging project.
Frequently asked questions
- What are the key responsibilities for the Manager, Engineering ML Infrastructure and Tooling at ExtraHop?
- The Manager, Engineering ML Infrastructure and Tooling at ExtraHop will lead the design and build of infrastructure and tooling to support machine learning research and scalability. Key responsibilities include product ownership, guiding the team through complex technical projects, managing end-to-end product lifecycle, and addressing customer escalations.
- What qualifications are required for this management role at ExtraHop?
- This role requires a BS degree in CS or related field, 7+ years of software development experience, and 3+ years in a team lead/management role. Experience with ML cloud infrastructure, cloud infrastructure, IaC, database design, and DevOps practices is essential. Familiarity with ML models like LLMs, Clustering, and Anomaly Detection is also required.
- What is the work arrangement for the Manager, Engineering ML Infrastructure and Tooling position?
- ExtraHop offers a hybrid and remote work model, indicating flexibility for this position. Candidates should confirm specific arrangements during the interview process.
- How does ExtraHop foster a positive work environment for its engineering teams?
- ExtraHop emphasizes empowering engineering teams, setting clear goals, and having leaders who remove roadblocks. They also encourage healthy work-life balance and value employee opinions, fostering an environment where great things can happen.
- What kind of machine learning models is ExtraHop focused on for its infrastructure and tooling?
- ExtraHop's ML Infrastructure team supports the development of new machine learning models, with specific mention of LLMs, Clustering, and Anomaly Detection as areas of familiarity for candidates.
- What is the typical career path for an Engineering Manager at ExtraHop?
- As an Engineering Manager at ExtraHop, you can expect to drive technical strategy, mentor and develop engineers, and contribute to the company's leadership in Network Detection and Response. Opportunities may exist to grow into senior leadership roles or specialized technical expert positions.
- How does ExtraHop ensure the quality and stability of its products for enterprise customers?
- ExtraHop works closely with internal stakeholders to ensure products meet quality and stability requirements for enterprise customers. This involves leveraging experience in inventing and improving technologies related to performance, stability, and scale throughout the product lifecycle.
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