lululemon Senior Cybersecurity Engineer - Data & AI Security

lululemon; Seattle (WA); On-site; USD 147,300 - 193,300; Full time

Benefits offered by this job

Extended health and dental benefits

Mental health plans

Paid time off

401(k) matching / retirement plan

Employee discount

Fitness & yoga classes

Development course offerings

Mentorship programs

Job summary

lululemon is seeking a Senior Cybersecurity Engineer to lead security initiatives across data and AI projects. You’ll design and implement controls, enable secure delivery, and mentor engineers while embedding security by design in complex systems.

Responsibilities include building centralized authentication, conducting threat modelling, and driving improvements in detection, prevention, and response at scale. In-person role based in Seattle, WA.

Qualifications

• Bachelor’s degree in CS, cybersecurity, or related field.
• 6–10 years leading security engineering initiatives at scale.
• Hands-on experience securing data used by AI systems across cloud platforms.
• Experience securing AI/analytics workloads in cloud environments.
• Proven experience implementing enterprise security controls at scale.
• Track record writing security platforms and SDKs.
• Ability to lead advanced threat modelling for complex systems.
• Familiarity with DSPM, DLP, or data governance tooling for AI use cases.

Responsibilities

• Build and operate enterprise security capabilities such as centralized authentication and enforcement mechanisms.
• Lead threat modelling and security assessments across complex systems.
• Own end-to-end incident response with deep root-cause analysis.
• Develop security code, tools, and libraries including automation platforms and detectors.
• Establish secure coding standards and review practices.

Skills

Security engineering leadership

AI data security

AI/ML cloud security

Security controls

Security SDKs

Threat modelling

DSPM/DLP familiarity

Education

Bachelor’s degree in Computer Science, Cybersecurity, or related field

Job description

Description & Requirements

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we’re in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth‑focused environment for our people.

About this team

The Data & AI Security team is responsible for protecting the organization’s most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross‑functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction.

Responsibilities

As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands‑on technical leadership and knowledge sharing.

• Build enterprise security systems implementing centralized authentication, security platforms, and organization‑wide controls
• Lead comprehensive threat modelling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle
• Own end‑to‑end response for complex security incidents, driving deep root cause analysis and delivering coordinated long‑term improvements to detection, prevention, and security monitoring capabilities
• Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs
• Establish security code standards defining secure coding practices, code review requirements, and implementation quality

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred
• 6‑10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent
• Hands‑on experience securing data used by AI systems, including data discovery, classification, access governance, and usage monitoring across cloud data platforms, feature stores, and AI pipelines
• Experience securing AI and analytics workloads in modern cloud environments, including identity and access controls, service‑to‑service authentication, secrets management, and policy enforcement across platforms supporting AI/ML development and inference (e.g., cloud data platforms, ML platforms, containerized services)
• Proven experience implementing enterprise security controls and building security infrastructure including centralized authentication, authorization services, and security policy enforcement systems at scale
• Track record of writing complex security systems including security platforms and SDKs; experience establishing security code review practices, security checklists, and security development frameworks
• Demonstrated ability to lead advanced threat modelling for complex systems, anticipating sophisticated adversarial behaviour; experience owning investigation and resolution of complex security incidents with deep root cause analysis
• Familiarity with DSPM, DLP, or data governance tooling applied to AI use cases is strongly preferred

Legal

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role.

Compensation and Benefits

Lululemon’s compensation offerings are grounded in a pay‑for‑performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is $147,300 - $193,300 annually; the base pay offered is based on market location and may vary depending on job‑related knowledge, skills, experience, and internal equity. Permanent employees may be eligible for a competitive annual bonus program, subject to program eligibility requirements. Additional benefits include extended health and dental benefits, mental health plans, paid time off, savings and retirement plan matching, generous employee discount, fitness & yoga classes, parenthood top‑up, extensive catalog of development course offerings, and people networks, mentorship programs, and leadership series.

Workplace Arrangement

This role is classified as in‑person under our SSC Workplace Policy. In‑person collaboration and/or office‑based work is necessary or important for the role. Work is mainly performed onsite, 4‑5 days per week depending on role requirements.