Senior Manager, Endpoint Protections

This is a fully remote position, open to applicants in United States, +5 more countries.

📋 Description

• Lead, mentor, and develop a top-tier engineering team.

• Provide guidance to senior research engineers in the areas of endpoint internals, prevention engineering, and machine learning.

• Coach on career advancement, offer honest feedback, manage the hiring pipeline, and facilitate the onboarding of new engineers.

• Take ownership of the roadmap and ensure timely delivery across visibility, prevention engines, performance, efficacy, and stability.

• Collaborate with product managers to establish requirements and deliver high-quality features within set release timelines.

• Link endpoint initiatives to the wider Elastic Security detection and protection capabilities.

• Oversee machine learning initiatives, including model development, training data quality, telemetry features, and the broader security ML strategy.

• Promote cross-platform protection equivalence across Windows, macOS, and Linux.

• Maintain connections with platform vendors to secure early access to new operating system security APIs.

• Support presentations at conferences and contribute to Elastic Security Labs publications.

• Engage with customers and partners regarding protection capabilities.

• Represent Elastic within the endpoint security community.

⛳️ Requirements

• Experience in people leadership, managing senior technical individual contributors on a globally distributed team.

• Proven track record of employee growth and delivering impactful results.

• Significant hands-on experience as a security researcher prior to transitioning into leadership roles.

• Proficiency in analyzing attacker tactics, techniques, and procedures (TTPs).

• Experience in building defenses against adversaries and deploying software to customer machines at scale.

• Practical knowledge of operating system internals in both kernel and user modes.

• Extensive expertise in Windows; experience with macOS or Linux is a close second.

• Hands-on experience in reverse engineering and malware analysis.

• Ability to read disassembly and evaluate research findings.

• Skill in anticipating potential evasion tactics and designing for resilience.

• Strong communication abilities for conveying technical concepts to technical, executive, and non-expert audiences.

• A drive to succeed in a distributed and autonomous work environment.

• A genuine commitment to safeguarding customers against real-world threats.

• Demonstrated experience in utilizing AI-assisted development tools.

• Capacity to switch between projects, collaborate across functions and teams, and adapt to changing team dynamics.

• Previous ownership of an EDR, EPP, or other endpoint security product is a plus.

• Contributions in the form of published vulnerabilities, patents, technical writing, or conference presentations are advantageous.

• Experience leading machine learning engineers on security challenges is a bonus.

• Familiarity with taking research prototypes through to general availability release is a bonus.

• Conference speaking experience, such as at Black Hat, DEF CON, CODE BLUE, or Virus Bulletin, is a bonus.

• Familiarity with the Elastic Stack, including Elasticsearch, Kibana, and Elastic Security, is a bonus.

🏝️ Benefits

• Base salary compensation with no variable compensation component.

• Eligibility to participate in Elastic's stock program.

• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.

• Health coverage for you and your family in various locations.

• Flexible locations and schedules for many positions.

• Generous vacation days each year.

• Matching up to $2000 (or local currency equivalent) for charitable donations and service.

• Up to 40 hours annually for volunteer projects.

• Minimum of 16 weeks of parental leave.

• Competitive pay based on job performance.

• Accessibility accommodations during the application or recruitment process.