Senior Manager, Endpoint Protections

Elastic

6d • $159,800 - $303,500

About The Position

Elastic is hiring a Senior Manager to lead its globally distributed Endpoint Protections engineering team within Elastic Security. The team develops visibility, prevention, and on-device machine learning capabilities for Elastic Defend, working across kernel and user mode on Windows, macOS, and Linux. The role calls for a hands-on security practitioner who can guide technical work, review designs, and write code while leading a team that values candid feedback, collaborative learning, and mentorship.

The Senior Manager will set the team’s roadmap and delivery priorities, balancing protection efficacy, performance, and stability across millions of endpoints. The role connects endpoint work with broader Elastic Security capabilities, directs machine learning efforts, advances cross-platform protection parity, and represents the team with customers, partners, and the security community.

The position is based in a distributed-company environment. Compensation is base salary, with eligibility to participate in Elastic’s stock program. The stated starting salary range is $159,800–$252,800 USD, with an alternate range of $191,900–$303,500 USD for specified locations.

Requirements

• People-leadership experience managing senior technical individual contributors on a globally distributed team, with a demonstrated record of developing people.
• Substantial prior hands-on security research experience, including analyzing attacker tactics, techniques, and procedures, building countermeasures, and shipping software that runs on customer machines at scale.
• Hands-on knowledge of operating-system internals in kernel and user mode, deep enough to reason about undocumented behavior and assess designs technically; Windows expertise is especially needed, with macOS or Linux experience close behind.
• Hands-on reverse engineering and malware analysis experience, including the ability to read disassembly, assess research findings, and evaluate threats for investment.
• An adversarial mindset and ability to anticipate how protections may be evaded and design for resilience.
• Clear communication skills for technical and executive audiences, including the ability to explain technical work to non-expert stakeholders.
• Motivation to work in a distributed, autonomous environment and a genuine interest in protecting customers from real-world adversaries.
• Demonstrated experience using AI-assisted development tools to accelerate feature development, debug complex systems, and optimize codebases.
• Ability to rotate across projects, collaborate across functions and teams, and adapt to evolving team structures.

Nice To Haves

• Prior ownership of an EDR, EPP, or other endpoint security product.
• Personal research output such as 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 general availability.
• Conference speaking experience, such as at Black Hat, DEF CON, CODE BLUE, or Virus Bulletin.
• Familiarity with the Elastic Stack, including Elasticsearch and Kibana, and Elastic Security.

Responsibilities

• Lead, mentor, and grow a globally distributed engineering team, including senior research engineers working across endpoint internals, prevention engineering, and machine learning.
• Coach career development, provide candid feedback, own the hiring pipeline, and help new engineers contribute quickly.
• Own the team roadmap and drive delivery, balancing protection efficacy, performance, and stability across millions of endpoints.
• Partner with product managers to define requirements and deliver high-quality features on release timelines.
• Coordinate with other Elastic Security teams so endpoint event sources enable broader detection and protection capabilities.
• Direct machine learning work, including model development, training data quality, telemetry features, and alignment with the wider Elastic Security machine learning strategy.
• Advance protection parity across Windows, macOS, and Linux, keep the team prepared for new hardware architectures, and maintain platform-vendor relationships for early access to operating-system security APIs.
• Support engineers in presenting at conferences and publishing on Elastic Security Labs, engage with customers and partners, and represent Elastic in the endpoint security community.

Benefits

• Company-matched 401(k), with dollar-for-dollar matching up to 6% of eligible earnings.
• Eligibility to participate in Elastic’s stock program.
• Health coverage for employees and their families in many locations.
• Flexible locations and schedules for many roles.
• Generous annual vacation days.
• Matching of up to $2,000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year for volunteer projects.
• A minimum of 16 weeks of parental leave.
• Competitive pay based on the work performed, not previous salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed