Huntress was founded on a simple premise: to force hackers to earn every single inch of their access. The company has been fully remote since 2015, and provides small to mid-market businesses with a broad set of versatile security solutions, fortifying the defenses of mom-and-pop shops that lack the resources to protect themselves. “It all comes back to helping out the little guy,” Technical Product Owner Sharon Martin said. “At the end of the day, it really feels good to know we’re making a measurable difference in peoples’ lives by helping ensure their systems are secure.” Added Director of R&D Jamie Levy: “We all have this ‘root for the underdog’ mentality. Everyone sticks together here at Huntress.”
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Information Technology • Cybersecurity
Support sales efforts by providing technical expertise on Huntress cybersecurity products. Partner with customers to improve security posture, identify security issues, demonstrate solutions, communicate customer needs across teams, and identify product improvement opportunities. The role requires strong presentations to technical and executive audiences and approximately 25% travel to customer meetings.
Information Technology • Cybersecurity
Build and manage Huntress’s Security Quality Management System for agentic and human-led SOC investigations. Establish sampling methods, review cadences, quality standards, validation criteria, scorecards, and reporting. Independently assess investigation decisions, identify drift and recurring failures, lead root-cause analysis, validate corrective actions, and improve security operations in partnership with Analysis, Product, Engineering, and Security Operations. Initially hands-on, the role is expected to grow into leadership of the QMS function.
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Information Technology • Cybersecurity
Lead modernization of high-throughput cybersecurity detection engines and event pipelines in Go. Own distributed-system reliability, observability, liveness monitoring, load management, schema standards, drift detection, migration validation, and safe cutovers. Provide hands-on technical leadership across teams, set platform direction, write and review production code, and support Sigma-based detection capabilities. Collaborate across a broad stack including Kafka, Temporal, Redis, ClickHouse, Elasticsearch, Kubernetes, cloud platforms, and Ruby on Rails.
