[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![ExtraHop logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/4800f505-221.jpg)](https://jobicy.com/company/extrahop.md)Remote opportunity at[ExtraHop](https://jobicy.com/company/extrahop.md) # Manager, Engineering | ML Infrastructure & Tooling Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/extrahop.md)Share11 Sep 2026Published47Listing views1Application actions11 Oct 2026Apply before Opportunity details ## About this role. AI SummaryExtraHop is seeking an Engineering Manager to lead its Machine Learning Infrastructure & Tooling team supporting cybersecurity detection products. The role combines people leadership, product ownership, and technical direction for cloud-based ML development, experimentation, deployment, and production operations. The manager will guide architectural choices, delivery tradeoffs, roadmap execution, on-call support, and enterprise-scale reliability. Candidates need substantial software engineering experience, prior engineering management experience, ML cloud infrastructure expertise, DevOps knowledge, and familiarity with threat detection concepts. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior engineering leadership role requiring both deep technical judgment in ML/cloud infrastructure and proven ability to build, coach, and direct an engineering team. The scope includes high-stakes production reliability, customer escalations, architecture, and prioritization across internal stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$182,500US market range$165k–$220k0$242k AI insightThe disclosed base salary range is USD 170,000 to USD 195,000 yearly, with a midpoint of USD 182,500; bonus and benefits are additional and are not included in the base-salary calculation. A competitive US market base-salary range for an Engineering Manager leading ML infrastructure is approximately USD 165,000 to USD 220,000 annually, varying by location, management scope, cloud/ML depth, and company stage. ## Core skills Skills and capabilities most closely associated with this opportunity. [Engineering Management](https://jobicy.com/jobs?search_keywords=Engineering%20Management.md)[Machine Learning Infrastructure](https://jobicy.com/jobs?search_keywords=Machine%20Learning%20Infrastructure.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Software Architecture](https://jobicy.com/jobs?search_keywords=Software%20Architecture.md)[Scalability](https://jobicy.com/jobs?search_keywords=Scalability.md)[Site Reliability](https://jobicy.com/jobs?search_keywords=Site%20Reliability.md)[Cybersecurity](https://jobicy.com/jobs?search_keywords=Cybersecurity.md) Sample interview questionsHow have you led a team responsible for machine learning infrastructure from experimentation through production deployment?I establish a clear platform roadmap around developer velocity, reproducibility, cost, reliability, and security. I partner with data science and product stakeholders to prioritize the highest-leverage workflows, then use service-level objectives and adoption metrics to validate that the platform improves model delivery. How would you balance rapid ML experimentation with the reliability requirements of an enterprise cybersecurity product? I would separate experimental and production pathways while standardizing the promotion process between them. Guardrails such as automated testing, reproducible environments, data and model versioning, observability, staged rollouts, and rollback plans allow teams to move quickly without compromising production safety. Describe how you make difficult tradeoffs among scope, quality, performance, and delivery dates. I make the decision criteria explicit, quantify customer and operational impact where possible, and involve the relevant technical and product owners early. I aim to preserve non-negotiable reliability and security requirements while sequencing lower-risk scope, documenting decisions, and communicating the rationale and consequences clearly. What is your approach to managing incidents and customer escalations involving a platform your team owns? I ensure there is clear ownership, an effective on-call model, accurate stakeholder communication, and a blameless post-incident process. During an incident, I focus the team on mitigation and customer impact; afterward, I prioritize durable corrective actions, automation, monitoring, and learning that reduce recurrence. How do you develop and retain a strong engineering team? I set clear outcomes, give engineers meaningful ownership, provide regular feedback, and create growth plans tied to both technical and leadership opportunities. I also protect sustainable working practices by managing priorities, removing blockers, recognizing impact, and maintaining an environment where differing technical views can be discussed openly. At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running. Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you. 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 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. OUR VALUES Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team. Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues. Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company. Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done. Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo. Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team. BENEFITS Employees’ wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following 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 Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today! To learn more, visit [our website](https://www.extrahop.com/) or follow us on [LinkedIn](https://www.linkedin.com/company/extrahop-networks/). Create a Job Alert Interested in building your career at ExtraHop? Get future opportunities sent straight to your email. 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