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About the role

  • Senior Manager leading Elastic’s endpoint protection engineering, malware defense, and security machine learning teams. Guiding globally distributed engineers across Windows, macOS, and Linux.

Responsibilities

  • Lead, mentor, and grow a world-class engineering team
  • Guide senior research engineers across endpoint internals, prevention engineering, and machine learning
  • Coach career development, deliver candid feedback, own the hiring pipeline, and onboard new engineers
  • Own the roadmap and drive delivery across endpoint visibility and protection engines
  • Balance efficacy, performance, and stability across millions of endpoints
  • Work with product managers to define requirements and deliver high-quality features on release timelines
  • Connect endpoint protections work with broader Elastic Security detection and protection capabilities
  • Direct machine learning work, including model development, training data quality, and telemetry features
  • Drive protection parity across Windows, macOS, and Linux
  • Maintain platform vendor relationships and access to emerging operating system security APIs
  • Support conference presentations and Elastic Security Labs publications
  • Engage customers and partners on protection capabilities and represent Elastic in the endpoint security community

Requirements

  • People-leadership experience managing senior technical individual contributors on a globally distributed team
  • Substantial hands-on experience as a security researcher, including analyzing attacker tactics, techniques, and procedures, building protections, and shipping software to customer machines at scale
  • Hands-on operating system internals knowledge in kernel and user mode
  • Strong Windows expertise, with macOS or Linux experience close behind
  • Hands-on reverse engineering and malware analysis experience
  • Ability to anticipate how protections may be evaded and design for resilience
  • Clear communication skills for technical and executive audiences and non-expert stakeholders
  • Motivation to thrive in a distributed, autonomous environment
  • Genuine passion for protecting customers from real-world adversaries
  • Demonstrated experience leveraging AI-assisted development tools
  • Ability to rotate across projects, collaborate across functions and teams, and adapt to evolving team structures
  • Prior ownership of an EDR, EPP, or other endpoint security product (bonus)
  • Published vulnerabilities, patents, technical writing, or conference talks (bonus)
  • Experience leading machine learning engineers working on security problems (bonus)
  • Experience taking research prototypes through to GA release with product engineering teams (bonus)
  • Conference speaking experience (bonus)
  • Familiarity with the Elastic Stack, Elasticsearch, Kibana, and Elastic Security (bonus)

Benefits

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Employer matching up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year for volunteer projects
  • Minimum of 16 weeks of parental leave

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

ElasticSearchLinuxMacOS

Location requirements

RemoteUnited States

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