Remote Threat Detection Engineer Jobs
Remote Threat Detection Engineer jobs are open across the U.S. at remote-first firms and distributed security teams in sectors including financial services, cloud infrastructure, government contracting, and cybersecurity. Employers hiring remotely right now include Whatnot, Wazuh, and OpenAI. See the openings below and apply to the ones that match your experience.
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Showing 5 of 6+ Remote Threat Detection Engineer jobs
Security - San Francisco and US - Remote
About the team
OpenAI’s mission depends on developing and deploying powerful AI responsibly. Security makes that possible by protecting our research, people, products, and users while enabling progress. We defend sensitive research and other intellectual property, customer data, and the infrastructure behind frontier AI—from GPU supercomputing and multicloud environments to datacenters and emerging agent systems. Threat Detection Engineering builds and operates the detections and investigative workflows that turn adversary activity into effective response.
About the role
We’re looking for a hands-on technical leader to guide the engineers who identify and investigate threats to OpenAI and build the capabilities to contain them. You’ll hire and develop engineers, set technical direction, and prioritize risks to OpenAI’s intellectual property, customer data, and critical infrastructure.
Your team will take an agent-first approach across the detection and response lifecycle, using OpenAI’s models to develop detections, triage signals, investigate suspicious activity, and support bounded response and continuous improvement. You’ll turn advances in model capability into dependable defenses, own their effectiveness, and work with security, research, and infrastructure partners to ensure findings lead to effective action. You’ll establish where agents can act independently and where human judgment and approval are essential.
In this role, you will:
Hire, coach, and develop engineers. Set clear expectations, provide regular feedback, grow technical leadership, and build a team that reviews work rigorously and learns from missed detections and noisy signals.
Set a threat-informed roadmap. Prioritize detection work based on how external and internal actors could target the systems where we train and evaluate frontier models, the production services that run inference and power our products worldwide, the datacenter hardware and networks that support both, and the devices, identities, and applications employees rely on. Balance investment in emerging threats with closing known coverage gaps and keeping existing detections effective.
Own detection and investigation as a complete workflow. Embed agent-driven triage and investigation in the detections your team operates. Surface findings when the evidence points to a likely threat that warrants action. When a finding warrants formal incident response, bring the evidence to the Security Incident Response Team (SIRT) and support the investigation SIRT leads.
Build response and containment capabilities tailored to our infrastructure. Work with infrastructure and system owners to develop and test the controls responders need to contain threats in their environments. Define when human approval is required and how to verify that containment worked.
Apply models across the detection engineering lifecycle. Use OpenAI’s models to help develop threat hypotheses, author and test detections, deploy and tune them, and incorporate investigation findings into better coverage. Evaluate the effectiveness of individual agents and the complete workflows they support.
Turn model advances into tested defenses. Prototype new approaches using OpenAI’s models, evaluate them against realistic adversary behavior and analyst baselines, and move successful experiments into production. Use operational evidence to identify model limitations and partner with Research and Engineering to address them.
Anticipate emerging threats. Translate adversary intelligence and incident findings into testable detection hypotheses. Work with researchers and infrastructure owners on risks specific to a frontier AI lab, such as increasingly capable agents operating across systems with access to sensitive research. Determine what evidence would reveal compromise and what response would be effective.
Establish the visibility needed to detect, investigate, and respond. Partner with Security Observability and infrastructure owners to define telemetry and forensic data requirements. Drive improvements where missing evidence, unreliable data, or limited controls prevent the team from identifying threats or taking effective action.
Engineer for measurable security outcomes. Use replay, adversarial validation, and regression testing to assess whether workflows find intended threats, distinguish benign activity, and reach defensible conclusions. Establish code review, documentation, staged rollout, monitoring, and rollback practices. Measure coverage, investigation accuracy, time to identify threats, and effectiveness of response.
Contribute during incidents. The Security Incident Response Team (SIRT) leads formal incident response. Your team contributes investigative expertise and uses incident findings to improve detections.
You might thrive in this role if you:
Think like an adversary and demand evidence as a defender. You question whether apparent coverage would survive a determined attacker, distinguish plausible explanations from supported conclusions, and stay accountable for threats that existing tools and playbooks miss.
Have managed security or software engineers and can demonstrate how you have hired, coached, developed technical judgment, and improved a team’s ability to deliver.
Are a hands-on builder who can prototype tools, write and review code, and guide engineers through complex detection, investigation, and response designs.
Bring strong AI fluency and have built systems that test how models or agents can improve cyber defense. You have evaluated real security workflows against meaningful baselines and can explain what improved, what failed, and what you changed. You understand model failure modes and design reliable workflows with bounded permissions and clear human decision points.
Have built or operated threat detections and led technical investigations. You understand adversary tradecraft and can assess evidence, scope, and uncertainty across complex environments.
Understand how identity, endpoint, cloud, Kubernetes, and infrastructure telemetry supports investigations. You can reason about response and containment in unfamiliar systems and work with their owners to build practical capabilities.
Have used testing and operational feedback to improve security outcomes. You can explain tradeoffs among coverage, accuracy, speed, and human workload, and choose measures that reflect whether threats are being found and addressed.
Can build a focused roadmap and strong cross-functional partnerships in a rapidly changing environment. You enable researchers and engineers to move quickly while following through on security requirements and dependable operations.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$401K – $510K + Offers Equity
The base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
Security - San Francisco and US - Remote
About the team
OpenAI’s mission depends on developing and deploying powerful AI responsibly. Security makes that possible by protecting our research, people, products, and users while enabling progress. We defend sensitive research and other intellectual property, customer data, and the infrastructure behind frontier AI—from GPU supercomputing and multicloud environments to datacenters and emerging agent systems. Threat Detection Engineering builds and operates the detections and investigative workflows that turn adversary activity into effective response.
About the role
We’re looking for a hands-on technical leader to guide the engineers who identify and investigate threats to OpenAI and build the capabilities to contain them. You’ll hire and develop engineers, set technical direction, and prioritize risks to OpenAI’s intellectual property, customer data, and critical infrastructure.
Your team will take an agent-first approach across the detection and response lifecycle, using OpenAI’s models to develop detections, triage signals, investigate suspicious activity, and support bounded response and continuous improvement. You’ll turn advances in model capability into dependable defenses, own their effectiveness, and work with security, research, and infrastructure partners to ensure findings lead to effective action. You’ll establish where agents can act independently and where human judgment and approval are essential.
In this role, you will:
Hire, coach, and develop engineers. Set clear expectations, provide regular feedback, grow technical leadership, and build a team that reviews work rigorously and learns from missed detections and noisy signals.
Set a threat-informed roadmap. Prioritize detection work based on how external and internal actors could target the systems where we train and evaluate frontier models, the production services that run inference and power our products worldwide, the datacenter hardware and networks that support both, and the devices, identities, and applications employees rely on. Balance investment in emerging threats with closing known coverage gaps and keeping existing detections effective.
Own detection and investigation as a complete workflow. Embed agent-driven triage and investigation in the detections your team operates. Surface findings when the evidence points to a likely threat that warrants action. When a finding warrants formal incident response, bring the evidence to the Security Incident Response Team (SIRT) and support the investigation SIRT leads.
Build response and containment capabilities tailored to our infrastructure. Work with infrastructure and system owners to develop and test the controls responders need to contain threats in their environments. Define when human approval is required and how to verify that containment worked.
Apply models across the detection engineering lifecycle. Use OpenAI’s models to help develop threat hypotheses, author and test detections, deploy and tune them, and incorporate investigation findings into better coverage. Evaluate the effectiveness of individual agents and the complete workflows they support.
Turn model advances into tested defenses. Prototype new approaches using OpenAI’s models, evaluate them against realistic adversary behavior and analyst baselines, and move successful experiments into production. Use operational evidence to identify model limitations and partner with Research and Engineering to address them.
Anticipate emerging threats. Translate adversary intelligence and incident findings into testable detection hypotheses. Work with researchers and infrastructure owners on risks specific to a frontier AI lab, such as increasingly capable agents operating across systems with access to sensitive research. Determine what evidence would reveal compromise and what response would be effective.
Establish the visibility needed to detect, investigate, and respond. Partner with Security Observability and infrastructure owners to define telemetry and forensic data requirements. Drive improvements where missing evidence, unreliable data, or limited controls prevent the team from identifying threats or taking effective action.
Engineer for measurable security outcomes. Use replay, adversarial validation, and regression testing to assess whether workflows find intended threats, distinguish benign activity, and reach defensible conclusions. Establish code review, documentation, staged rollout, monitoring, and rollback practices. Measure coverage, investigation accuracy, time to identify threats, and effectiveness of response.
Contribute during incidents. The Security Incident Response Team (SIRT) leads formal incident response. Your team contributes investigative expertise and uses incident findings to improve detections.
You might thrive in this role if you:
Think like an adversary and demand evidence as a defender. You question whether apparent coverage would survive a determined attacker, distinguish plausible explanations from supported conclusions, and stay accountable for threats that existing tools and playbooks miss.
Have managed security or software engineers and can demonstrate how you have hired, coached, developed technical judgment, and improved a team’s ability to deliver.
Are a hands-on builder who can prototype tools, write and review code, and guide engineers through complex detection, investigation, and response designs.
Bring strong AI fluency and have built systems that test how models or agents can improve cyber defense. You have evaluated real security workflows against meaningful baselines and can explain what improved, what failed, and what you changed. You understand model failure modes and design reliable workflows with bounded permissions and clear human decision points.
Have built or operated threat detections and led technical investigations. You understand adversary tradecraft and can assess evidence, scope, and uncertainty across complex environments.
Understand how identity, endpoint, cloud, Kubernetes, and infrastructure telemetry supports investigations. You can reason about response and containment in unfamiliar systems and work with their owners to build practical capabilities.
Have used testing and operational feedback to improve security outcomes. You can explain tradeoffs among coverage, accuracy, speed, and human workload, and choose measures that reflect whether threats are being found and addressed.
Can build a focused roadmap and strong cross-functional partnerships in a rapidly changing environment. You enable researchers and engineers to move quickly while following through on security requirements and dependable operations.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$401K – $510K + Offers Equity
The base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
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Find JobsRemote Threat Detection Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote threat detection engineer jobs.
- Three or more years of experience writing and tuning detection rules in a SIEM platform
- Hands-on proficiency with Splunk, Microsoft Sentinel, Elastic SIEM, or Chronicle
- Practical knowledge of the MITRE ATT&CK framework applied to real detection use cases
- Familiarity with scripting in Python or PowerShell for detection automation and log parsing
- Experience with endpoint detection tools such as CrowdStrike, SentinelOne, or Carbon Black
- Bachelor's degree in computer science, cybersecurity, or a related technical field
Tips for Your Remote Threat Detection Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote threat detection engineer openings from across the U.S. in one place, so you can find roles matched to your skill set and apply directly without sorting through listings that aren't actually remote.
Show async documentation skills upfront
Remote threat detection teams run on written communication. Include samples of incident write-ups, detection rule documentation, or threat hunting notes in your application materials to show you can communicate findings clearly without a live debrief.
Highlight your SIEM and EDR tool fluency
Remote hiring managers move fast and screen for hands-on tool experience before scheduling interviews. Name the specific platforms you've worked with, such as Splunk, Elastic, Sentinel, CrowdStrike, or SentinelOne, in your resume and application rather than listing generic security skills.
Build a detection portfolio in a home lab
Remote employers can't observe your day-to-day work in an office, so they rely on proof. A GitHub repository with detection rules, a documented purple-team exercise, or a home lab write-up gives hiring teams something concrete to evaluate before your first interview.
Remote Threat Detection Engineer Jobs: Frequently Asked Questions
How do I get a remote threat detection engineer job?
Target companies with established distributed security teams, since they have the tooling and culture to support remote detection work from day one. Remote employers screen heavily for self-direction, clear written communication in incident documentation, and hands-on fluency with SIEM platforms, EDR tools, and detection-as-code workflows. Demonstrating a home lab, public detection rules, or contributions to open-source threat intelligence projects gives you a concrete edge over candidates with equivalent experience who haven't shown independent, async-ready work.
Which companies hire remote threat detection engineers?
Employers currently hiring remote threat detection engineers include Whatnot, Wazuh, and OpenAI, per current remote listings on Migrate Mate as of November 2026. Remote-first cybersecurity firms, cloud-native technology companies, and financial services organizations with distributed security operations centers make up the largest share of remote openings in this role.
Can you get a remote threat detection engineer job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to operate independently without on-site mentorship from your first week. Remote-first security companies and managed detection and response providers occasionally hire junior analysts into detection-focused tracks. Showing a home lab, custom SIEM detection rules, a completed blue-team certification, or participation in a CTF competition substitutes for professional experience and signals you can self-manage the technical learning curve remotely.
Do you need a degree for remote threat detection engineer jobs?
Not always. Many remote employers weigh demonstrated skills, hands-on detection engineering work, and certifications like Security+, CySA+, or GIAC credentials far more heavily than a formal degree for this role. A portfolio of detection logic, documented incident response cases, or a home lab write-up showing real methodology often moves a candidate further than a degree with no applied work behind it.
See All 6 Remote Threat Detection Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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