Why This Job is Featured on The SaaS Jobs
Detection engineering has become a core differentiator for SaaS security platforms, where product outcomes depend on reliable signals at massive scale. This manager role sits at the intersection of threat intelligence, production detection logic, and customer-impacting accuracy, with responsibility for shaping how detections are designed and shipped across millions of endpoints. In a vendor-delivered security model, that combination of telemetry, automation, and human-led operations reflects how modern security SaaS is built and sustained.
From a SaaS career perspective, the work maps closely to platform maturity challenges: reducing false positives, shortening iteration cycles, and turning research into repeatable pipelines. Leading a function that partners with Product, Engineering, Support, and a 24/7 SOC builds fluency in cross-functional decision making, prioritization, and measurable operating rhythms, all of which transfer to other security and observability SaaS environments. The emphasis on process, roadmaps, and OKRs also aligns with how SaaS teams scale technical programs.
The role is best suited to leaders who enjoy hands-on technical direction while formalizing systems that help specialists deliver consistently. It fits someone comfortable translating deep security concepts for mixed audiences and balancing investigative work with operational accountability in a remote US setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Reports to: Director of Detection Engineering and Threat Hunting
Location: Remote, US
Compensation: $160,000 to $190,000 base plus bonus and equity
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
About the Role:
The Detection Engineering team is responsible for fortifying the platform's ability to identify and stop malicious activity by designing, testing, and deploying detection logic across millions of endpoints. This team translates threat intelligence and adversary emulation findings into highly effective, production-ready detections and collaborates closely with Product and Engineering teams to shape future detection opportunities.
This role is accountable for defining the strategy, processes, and technical roadmap for Huntress's Detection Engineering function. You will be laser-focused on scaling the detection pipeline, reducing false positives, and ensuring high-fidelity signal output. You will lead a team focused on detection rule efficacy, automation, and continuous threat validation.
Roles and Responsibilities:
- Design, implement, and uphold internal processes to reduce latency and facilitate detection engineering work-products for data-constrained environments
- Meet with detection engineers in a 1:1 setting weekly to socialize, focus initiatives, gather feedback, and provide feedback, and enable analysts to progress rapidly in their careers
- Work with the Product and Engineering organizations to prioritize the creation of new capabilities with the goal of producing highly reliable detections
- Engage with our Support organization to create streamlined workflows for partner/constituent requests for detection engineering support, not limited to responding to false positives and developing new detections
- Provide technical leadership for detection engineers with multidisciplinary expertise
- Ensure team members fully understand the goals and objectives of Huntress’ mission and how their work fits into the bigger picture
- Provide key input and guidance to company stakeholders such as Marketing, the SOC, Support, and Product
- Develop, track, and report on Objectives and Key Results linked to the Detection Engineering focus initiatives
- Develop detection opportunities for new technologies and services that Huntress brings to market
- Participate in public speaking engagements in both webinar and in-person formats
What You Bring To The Team:
- Experience in leading cybersecurity teams with diverse skills and backgrounds in one or more of the following areas: Security Operations, Digital Forensics, Incident Response, Malware Analysis, Threat Hunting, or Detection Engineering
- 4+ years of experience in detection engineering or a related specialty (e.g., threat hunting, adversary emulation).
- 2+ years of experience managing or leading a detection engineering, threat hunting, or security research team.
- Actively engaged in the information security community by attending conferences or contributing to conversations/projects in the public domain
- Continually learning and staying up to date on the latest threat actor tradecraft, detection techniques, and security operations concepts
- Ability to identify workflows being performed and create detailed process diagrams and operating procedures
- Effective communicator of highly technical concepts to stakeholders of varying technical backgrounds
- Experience using platforms such as Elasticsearch or Data Dog to analyze and review data at scale
- Demonstrated experience leading initiatives or projects that required delegation and accountability to achieve success
- Data-driven approach with experience in Data Science concepts or statistical analyses
What We Offer:
- 100% remote work environment - since our founding in 2015
- Generous paid time off policy, including vacation, sick time, and paid holidays
- 12 weeks of paid parental leave
- Highly competitive and comprehensive medical, dental, and vision benefits plans
- 401(k) with a 5% contribution regardless of employee contribution
- Life and Disability insurance plans
- Stock options for all full-time employees
- One-time $500 reimbursement for building/upgrading home office
- Annual allowance for education and professional development assistance
- $75 USD/month digital reimbursement
- Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.
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