Senior Manager, Endpoint Protections

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI. Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

The Elastic Security Endpoint Protections team builds the visibility, prevention, and on-device machine learning capabilities at the core of Elastic Defend, our endpoint and SIEM security solution. We work in kernel and user mode across Windows, macOS, and Linux, against adversaries who study how to defeat what we build. We are looking for a Senior Manager who has done this work personally and can still review a design or write code. You will lead a globally distributed team and set the tone for a group that values candid feedback, collaborative learning, and mentorship.

• 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 set new engineers up to contribute quickly.
• Own the roadmap and drive delivery.
• Work with product managers to define requirements and land high-quality features on release timelines.
• Connect your team's work to the rest of Elastic Security.
• Direct the team's machine learning work, setting direction on model development, training data quality, and telemetry features.
• Drive cross-platform protection parity, bringing Windows depth to macOS and Linux.
• Represent the team externally, supporting engineers in presenting at conferences and publishing on Elastic Security Labs.

• People-leadership experience managing senior technical individual contributors on a globally distributed team.
• Substantial hands-on experience as a security researcher before moving into leadership.
• Operating system internals knowledge in both kernel and user mode, with Windows depth needed most.
• Hands-on reverse engineering and malware analysis experience.
• An adversarial instinct to anticipate evasions.
• Clear communication skills for technical and executive audiences.
• Motivation to thrive in a distributed, autonomous environment.
• Demonstrated experience leveraging AI-assisted development tools.

• Prior ownership of an EDR, EPP, or other endpoint security product.
• Personal research output: published vulnerabilities, patents, in-depth technical writing, or conference talks.
• Experience leading machine learning engineers working on security problems.
• Experience partnering with product engineering teams to take research prototypes through to GA release.
• Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin).
• Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires is $159,800—$252,800 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range of $191,900—$303,500 USD may apply. In addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

Elastic is a distributed company. We offer competitive pay, health coverage for you and your family in many locations, flexible locations and schedules for many roles, generous vacation days, up to $2000 match for financial donations and service, up to 40 hours each year for volunteer projects, and a minimum of 16 weeks of parental leave. Elastic is an equal opportunity employer.