ExtraHop

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 Our platform for Network Security Analytics is a unique and powerful component of Security Operations. We offer strong comp plans, fair quotas, and the opportunity to work with other smart, hardworking people who are excited about creating the next great systems company in the Security market. If you are at the top of your game, have experience building territories, are a challenger, and can sell innovative next-gen solutions, then we want to hear from you. This key position requires someone who is able to learn and maintain in-depth knowledge of ExtraHop’s products and technologies, competitive products and industry trends. You are primarily responsible for increasing revenue in assigned regions/territories/districts through identifying, recruiting and developing opportunity for generating direct sales or partnerships with resellers. Key Responsibilities Meet and exceed assigned sales targets by closing new accounts and growing revenues in existing customer installations Identify prospects for ExtraHop products through cold calls, and lead follow-up and face-to-face meetings Call on senior executives to understand the business, decision-making, and financing processes of your territory Present and demonstrate ExtraHop products to customers Provide customer and competitor feedback and field intelligence where available and necessary Prepare and implement strategic sales account plans for all customers and identify business growth opportunities in assigned customer base Ensure resellers and field sales engineers and management are working together in the sales process, lead generation, registering opportunities, accurately forecasting revenue, and tracking to required revenue goals established by their discount tier Work with resellers to grow business in your territory Prepare and maintain an accurate sales forecast for your territory Network in customer and related organizations Required Qualifications Four-year degree or equivalent in a related discipline (e.g., information technology, computer science, business, or engineering) Five years’ experience in technology sales with a consistent track record of exceeding sales targets Three years' security sales experience Demonstrated technical acumen to articulate ExtraHop's value proposition in a differentiated and compelling manner Strong communication, organizational, and interpersonal skills Proven history of sales success in network/application management or related IT infrastructure solutions Demonstrated ability to secure meetings and close deals with senior level executives Solid understanding of enterprise networking technologies: switches, routers, firewalls, load balancers, WAN optimization technologies, and so forth is a plus Strong independent work ethic and experience working in startup culture Existing senior level relationships at a wide range of enterprise accounts in your assigned territory Background in software/hardware sales and distribution with large software, hardware, and/or networking companies Ability to travel Work cooperatively with others within the organization and other cross-functional stakeholders. Work well in fast-paced, high-stress environments. Has predictable, reliable attendance. The base salary range for this role is $200,000 to $210,000 CAD. This is a commission-eligible position with a 50/50 pay mix. Actual commission earnings are based on individual performance against quota. 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

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 ExtraHop is at the forefront of cybersecurity innovation, delivering Network Detection and Response (NDR) solutions that help organizations detect, investigate, and respond to cyber threats in real time. Join ExtraHop as a Senior Data Scientist and help advance the machine learning and artificial intelligence capabilities that power our products. You will analyze large-scale network telemetry, develop and evaluate methods for identifying malicious behavior, and improve the accuracy and efficacy of ExtraHop’s threat detection capabilities. This is an applied data science role for someone who enjoys solving ambiguous, high-impact problems using statistical analysis, experimentation, and machine learning. You will work closely with other data scientists, threat researchers, and software engineers to translate research into reliable product capabilities, and play a key role in contributing to the improvement of the RevealX platform. Key Responsibilities Analyze large-scale network telemetry to identify behavioral patterns, anomalies, and signals associated with malicious activity. Design, develop, and refine machine learning and AI-based methods that support ExtraHop’s products. Develop evaluation methods appropriate for cybersecurity data, including highly imbalanced datasets, incomplete labels, rare events, and changing attacker and network behavior. Conduct exploratory data analysis, feature engineering, model development, and error analysis using complex, high-volume datasets. Research emerging machine learning and AI techniques, relevant cybersecurity developments, and assess their applicability to ExtraHop’s products. Establish metrics and monitoring strategies for measuring model and detector performance over time. Communicate findings, limitations, tradeoffs, and recommendations clearly to technical stakeholders and product leaders. Provide technical leadership and mentorship to other data scientists through code reviews, design discussions, technical strategy, and contributions to the team’s analytical and engineering standards. Document methodologies, experiments, model behavior, and evaluation results. Write clean, maintainable, and well-tested production-quality code. Required Qualifications Bachelor’s degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience. 7+ years of professional experience in data science, including developing and evaluating machine learning models for real-world use cases, defining meaningful success metrics, and conducting rigorous offline and online evaluations. Strong foundation in statistics, experimental design, machine learning, and model evaluation. Experience working with incomplete, noisy, or highly imbalanced data; performing detailed error analysis; and identifying the causes of false positives and false negatives. Strong proficiency in Python and SQL, experience with common data science and machine learning libraries, and the ability to write maintainable, tested, and reviewable code. Experience collaborating with software engineers to integrate data science methods into production systems. Strong problem-solving skills, intellectual curiosity, and a track record of independently owning complex technical work. Excellent written and verbal communication skills, including the ability to explain technical findings, uncertainty, and tradeoffs to varied audiences. Preferred Qualifications Master’s degree or Ph.D. in Data Science, Computer Science, Mathematics, or another quantitative discipline. Experience applying data science or machine learning to cybersecurity, fraud detection, abuse detection, anomaly detection, or another adversarial domain. Familiarity with Network Detection and Response, network protocols, threat detection, or incident investigation. Experience with time-series analysis, anomaly detection, actuarial modeling, clustering, graph analytics, or unsupervised and semi-supervised learning. Experience evaluating models in domains where positive examples are rare, labels are incomplete, and the underlying behavior changes over time. Experience with generative AI, large language models, agen

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 ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge solutions to protect organizations against evolving threats. Our Network Detection and Response (NDR) products empower businesses to detect, respond to, and mitigate cyber risks in real time. We seek a Principal Software Engineer to join our product development organization and serve as a technical anchor on our NDR platform. In this role, you will drive the architecture and execution of complex, high-impact engineering initiatives that define the future of our products. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security. Key Responsibilities Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors. Design and develop autonomous AI agent architectures and multi-agent workflows. Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows. Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices. Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders. Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation. Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline. Required Qualifications Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software. Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code. Experience in machine learning, statistics, or a related quantitative discipline. Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring. Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification. Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows. Preferred Qualifications A strong fundamental understanding of network telemetry and protocols. Prior experience working in the cybersecurity domain. Familiarity with threat actor techniques and common network attack vectors. Familiarity with machine learning applications in cybersecurity. Understanding of threat detection, intrusion prevention, and incident response strategies. Deep experience with cloud services on AWS or Azure. Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale. Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level. The salary range for this role is $175,000 - $198,000 + 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, an

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 ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge Network Detection and Response (NDR) solutions that empower organizations to detect, respond to, and mitigate cyber risks in real time. Join ExtraHop as a Software Engineer III and help us build a fault-resilient, highly available, and customer-centric platform. In this role you will work as part of a collaborative engineering team to build a scalable and secure platform and deliver customer-facing AI/ML features that enable security teams to stop threats in their tracks. This is a rewarding opportunity for an engineer who is obsessed with customer success, passionate about building reliable software, and learning new technologies that contribute to AI/ML-powered security capabilities in the RevealX platform." Our services and features are written primarily in Python, Golang, TypeScript, and React, with a focus on security, scalability, stability, and type-first design. Our team develops public REST APIs, solves database scalability challenges, implements data migrations, and enables configuration management across our fleet of services. The R(x) 360 Platform is built on AWS and GCP and utilizes Terraform to define Infrastructure-as-Code across our services and high-throughput data pipelines. Key Responsibilities Develop, test, and maintain software components that support AI/ML models, agentic processes, and data pipelines. Contribute to the monitoring, evaluation, and improvement of algorithms used in behavioral detectors. Participate in agile development processes, code reviews, and technical discussions. Collaborate with senior engineers, data scientists, and threat researchers to integrate AI/ML features into the broader product architecture. Implement well-scoped features and technical improvements with limited guidance from senior team members. Write clean, maintainable, and efficient code while adhering to engineering standards and best practices. Help identify and address technical debt to continually improve our codebase and technical stack. Stay current on the latest cybersecurity threats, trends, and technologies to contribute to product enhancements. Assist in the documentation of product features, technical specifications, and engineering guides. Support a culture of curiosity, collaboration, quality, and continuous improvement Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 4+ years of professional software development experience, preferably in backend, cloud, or security related systems. Solid knowledge of Python, Go, or an equivalent programming language, with strong general programming fundamentals. Familiarity with building distributed, highly available cloud based systems, preferably on AWS. Experience with version control systems (e.g., Git) and agile development practices. Familiarity with containerization technologies (Kubernetes, Docker). Strong problem-solving skills, a self-starter mentality, and the ability to take ownership and deliver well-defined technical tasks. Excellent communication and collaboration skills, with the ability to work independently with limited guidance in a fast-paced team environment. Desire to grow in the intersection of software engineering, cybersecurity, and AI/Machine Learning Preferred Qualifications Familiarity with machine learning, statistics, actuarial modeling, or a related quantitative discipline. Experience with cloud services on AWS or Azure (EKS / RDS / S3 / SQS / EC2 / IAM). Experience with infrastructure as a software tooling, such as HashiCorp (Packer, Vault, Terraform). Experience in API development, PostgreSQL database design, or SQL query performance optimization. Familiarity with machine learning applications in cybersecurity or NDR environments. Knowledge of tools and frameworks commonly used in network detection and response. Understanding of threat detection, intrusion prevention, and incident response strategies. The salary range for this role is $145,000 - $163,000 + bonus + benefits ABOUT EXTRAHOP ExtraHop is reinventing Network Detection and Response (NDR)

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 As a Software Engineer on the Framework team, you will work on complex development challenges, participate in technical design within your area, and play a meaningful role in shaping how we build and scale the systems that power ExtraHop's core products. You will work closely with cross-functional partners in Engineering, Product, and Security to deliver customer-facing features that enable detection, visibility, and automation at scale. This role is ideal for an engineer who brings technical depth, exercises sound judgment independently, and is motivated to grow their impact through excellent engineering and active collaboration. Our team builds high-performance network detection and monitoring systems that operate at scale across increasingly complex protocols and data volumes. Our services and features are written primarily in C and C++ with a focus on security, scalability, stability, and reliability. Our team is focussed on enhancing, maintaining and optimizing core components of the system and functional areas related to protocol parsing, metrics publishing, continuous packet capture and Time Series DB. This role focuses on designing and optimizing these core systems with an emphasis on performance, reliability and deep protocol awareness. You will work on next generation initiatives including scaling and performance improvement efforts, evolution of our data storage architecture (custom to open-source based) and early steps towards a cloud enabled model. Key Responsibilities Design, develop, and maintain high-performance services for ExtraHop's core Framework systems, taking ownership of moderately complex to complex features with limited guidance. Work across networking layers to implement and enhance protocol support Participate actively in technical design discussions, contribute to architecture decisions within your team, and author clear technical documentation for your work. Engage fully in agile development processes, including sprint planning, code reviews, and retrospectives; hold a high bar for code quality and test coverage. Collaborate with Product and cross-functional engineering partners such as platform , infrastructure and cloud teams to translate business requirements into well-scoped, scalable engineering solutions. Investigate, diagnose, and resolve production and performance issues independently; conduct root-cause analysis and implement preventive measures. Contribute to platform modernization efforts and help evaluate and adopt new technologies or frameworks in partnership with senior and principal engineers. Participate in on-call rotations and improve system observability, reliability and operational readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, STEM, or a related field requiring systematic and analytical thinking. 4+ years of professional experience designing and delivering production software. Strong expertise in C and C++ and other languages such as Go and Python. Experience developing on Linux Systems (multi threading, memory management, IPC etc) Proven ability to build and maintain performance critical systems. Proven ability to debug complex issues (eg. using gdb, coredumps, performance tools) Strong understanding of networking fundamentals (TCP/IP, packet processing etc) Strong command of data structures, algorithms, and software design principles, with the ability to decompose complex problems into clear, actionable engineering tasks. Self-starter who can operate independently, manage competing priorities, and drive work to completion with minimal oversight. Excellent collaborator and communicator with a growth mindset and customer-first orientation. Nice-to-Have Qualifications Experience with network protocols (eg. HTTP, SMB, Kerberos, TLS, Microsoft protocols or similar) Exposure to cloud platforms (AWS preferred) or distributed systems Experience with observability, on-call practices and production systems Scripting experience (Python or similar) The salary range for this role is $145,000 - $160,000 + bonus + benefits ABOUT EXTRAHOP ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled vis