Director, Security Engineering & Operations
Lead Security Engineering and Security Operations teams at WHOOP, shaping strategy across detection and response, incident management, security automation, identity, cloud, endpoint, SaaS, data protection, and AI security for a health-tech wearable company.
- Compensation
- $220K–$245K / yr
- Location
- Boston, MA
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- 10+ years of experience in information security with deep experience in Security Operations and meaningful experience across Security Engineering
- 5+ years of people leadership experience including managing managers and senior technical ICs
- Deep technical expertise in detection engineering, SIEM and telemetry strategy, incident response, and modern security operations
- Experience managing MDR, MSSP, or similar security partners
- Experience securing AI-enabled products, enterprise AI adoption, or AI development environments
- Strong judgment and relationship-building skills across technical, product, risk, legal, and senior leadership teams
- Based in or willing to relocate to Boston, MA office
Nice to have
- Experience in health technology or another sensitive-data environment
Full description
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is seeking a Director, Security Engineering & Operations to lead the teams responsible for enterprise security engineering and security operations. Reporting directly to the CISO and serving as a senior member of the Security leadership team, this leader will shape strategy, lead a growing team of managers, engineers, and analysts, and drive measurable security outcomes across a fast-moving technology environment.
This is a leadership role for someone who has successfully scaled security operations in complex, high-growth environments and brings strong security engineering experience. The right leader combines strategic judgment with strong technical depth, staying close enough to the work to set a high bar for engineering quality, guide critical technical decisions, and lead effectively through significant security events.
This leader will play a significant role in shaping the team, operating model, and technical roadmap as WHOOP scales, advancing capabilities across security engineering, detection and response, incident management, security automation, identity, cloud, endpoint, SaaS, data protection, and other enterprise security domains.
As WHOOP expands its use of AI across member-facing products, internal technology, and engineering, and continues to evolve its capabilities in health, this leader will help ensure security scales alongside the company's technology, data, regulatory, and threat landscape.
Responsibilities
- Lead Security Engineering and Security Operations, defining strategy, priorities, technical standards, performance expectations, and measurable outcomes across both functions.
- Advance a risk and threat-informed detection and response program that connects priority threat scenarios to the telemetry, detections, investigation capabilities, response procedures, and operational controls required to address them, including identity-centric, data protection, and insider risk scenarios.
- Lead security incident readiness and response, including escalation, incident command for significant events, cross-functional coordination, post-incident review, and accountability for follow-up actions.
- Guide the engineering and operationalization of preventive and detective security controls across identity, endpoint, cloud, SaaS, infrastructure, data, AI-enabled systems, and other high-value enterprise environments, while setting a high bar for technical design, testing, documentation, maintainability, and lifecycle management.
- Lead the security strategy and engineering approach for AI-enabled products and enterprise AI adoption, including access controls, sensitive data handling, model and application security, third-party integrations, tool and agent permissions, monitoring, auditability, and secure use of AI across the company.