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 areas such as endpoint internals, prevention engineering, and machine learning.

• Facilitate career growth, offer honest feedback, manage the hiring process, and onboard new team members.

• Take ownership of the roadmap and ensure timely delivery of advancements in endpoint visibility and protection engines.

• Achieve a balance of effectiveness, performance, and stability across millions of endpoints.

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

• Integrate endpoint protection efforts with the wider Elastic Security detection and protection functionalities.

• Oversee machine learning initiatives, including model development, ensuring data quality, and enhancing telemetry features.

• Ensure protection consistency across Windows, macOS, and Linux platforms.

• Maintain relationships with platform vendors and access new operating system security APIs.

• Assist in conference presentations and contribute to publications from Elastic Security Labs.

• Engage with customers and partners regarding protection capabilities, representing Elastic within the endpoint security community.

⛳️ Requirements

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

• Significant hands-on experience as a security researcher, including the analysis of attacker tactics, techniques, and procedures, as well as building protections and deploying software to customer machines at scale.

• Proficient knowledge of operating system internals in both kernel and user mode.

• Strong expertise in Windows, with solid experience in macOS or Linux.

• Practical experience in reverse engineering and malware analysis.

• Ability to foresee potential evasion tactics against protections and design resilient systems.

• Excellent communication skills tailored for technical, executive, and non-expert audiences.

• Drive to excel in a distributed, autonomous work environment.

• Genuine enthusiasm for defending customers against real-world threats.

• Proven experience in utilizing AI-assisted development tools.

• Flexibility to pivot across projects, work collaboratively with various functions and teams, and adjust to changing team dynamics.

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

• Published vulnerabilities, patents, technical writings, or conference presentations are advantageous.

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

• Background in transitioning research prototypes to GA release alongside product engineering teams is a plus.

• Conference speaking experience is favorable.

• Familiarity with the Elastic Stack, Elasticsearch, Kibana, and Elastic Security is beneficial.

🏝️ Benefits

• Competitive compensation reflecting your contributions rather than prior salaries.

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

• Flexibility to design your schedule and work from various locations for many roles.

• Generous vacation days provided each year.

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

• Up to 40 hours annually allocated for volunteer efforts.

• A minimum of 16 weeks of parental leave offered.