Back to jobs
New

Senior Engineering Manager, Applied Machine Learning

Remote

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 seeking a Senior Engineering Manager to lead the Applied Machine Learning team responsible for behavioral detections within the ExtraHop Network Detection and Response (NDR) platform.

This team develops machine learning systems that analyze large-scale network telemetry and surface meaningful behavioral signals for Security Operations Center (SOC) analysts. The work sits at the intersection of applied machine learning, cybersecurity, and high-volume time-series data.

This role owns the applied machine learning strategy for behavioral detection within the product. You will lead a team responsible for designing, evaluating, and operationalizing models that identify anomalous or suspicious patterns in complex network activity. The position combines technical leadership, scientific rigor, and product influence to ensure machine learning capabilities translate directly into actionable security insights.

Key Responsibilities

  • Lead and grow a multidisciplinary team of data scientists and software engineers building production machine learning models and supporting systems for behavioral detection.
  • Drive the research, development, evaluation, and operational monitoring of models that analyze large-scale network telemetry, including time-series and behavioral anomaly detection.
  • Establish high standards for experimental rigor across the team, including statistically sound experimentation, clear evaluation methodologies, and disciplined model validation.
  • Own the technical direction for production ML systems supporting behavioral detections, including experimentation frameworks, model lifecycle management, data pipelines, and monitoring.
  • Collaborate closely with Product Management and Security Research to translate machine learning capabilities into practical detection signals that improve SOC analyst workflows.
  • Influence the product roadmap by identifying opportunities where applied machine learning can materially improve detection quality and analyst productivity.
  • Mentor senior data scientists and engineers while fostering a culture of scientific rigor, intellectual curiosity, and technical ownership.
  • Represent the machine learning function in cross-organizational discussions and communicate technical strategy and outcomes to senior leadership.
  • Stay current with advances in machine learning research and engineering practices and guide the team in adopting techniques that meaningfully improve detection performance.

Required Qualifications

  • Bachelor’s degree or equivalent experience in Computer Science, Statistics, Machine Learning, or a related quantitative field; advanced degree preferred.
  • 5+ years experience leading applied machine learning or machine learning engineering teams delivering production systems.
  • Strong background in machine learning, statistics, or a related quantitative discipline.
  • Experience guiding experimental design, model evaluation strategies, and statistically rigorous decision making.
  • Experience building or operating production ML systems, including model lifecycle management, data pipelines, and monitoring.
  • Experience working with large-scale telemetry, time-series data, or behavioral modeling problems.
  • Demonstrated ability to partner with product and domain experts to translate machine learning capabilities into user-facing value.
  • Strong technical judgment and the ability to guide architecture and modeling decisions.
  • Experience mentoring senior individual contributors and building high-performing ML teams.
  • Exceptional communication skills; able to translate model performance, technical tradeoffs, and data science concepts for product, executive, and cross-functional audiences.
  • Consistent, reliable, and accountable in attendance and execution.

Preferred Qualifications

  • Experience with network security, NDR, or related security domains; familiarity with tools and frameworks commonly used in threat detection.
  • Experience building ML systems on AWS cloud infrastructure, including data pipelines and model deployment at scale.
  • Familiarity with compliance requirements such as FedRAMP or NIST SP 800-53 and their implications for data science workloads.
  • Experience with containerization technologies (Docker, Kubernetes) for ML workload deployment.
  • AWS certification such as AWS Certified Solutions Architect or Machine Learning Specialty.
  • Understanding of threat detection, intrusion prevention, and incident response strategies.

 

The salary range for this role is $200,000 - $218,000 + 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 or follow us on LinkedIn. 

Create a Job Alert

Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.

Create a Job Alert

Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...
Select...
Select...
Select...

Click to view and acknowledge in drop down below

Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in ExtraHop’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.