Senior Director, Engineering, SecOps, Google Cloud Security
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US‑based employees.
- Health, dental, vision, life, disability insurance
- Retirement: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short‑Term Disability + Baby Bonding): 28–30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Preferred working locations: Sunnyvale, CA; Reston, VA; Seattle, WA; Washington, D.C.
About the Role
This is a pivotal moment for Google SecOps. You will lead the charge in scaling a billion‑dollar product from 1,500 to 15,000 customers, requiring unprecedented architectural resilience and operational excellence. You will lead the “Agentic SOC” initiative—the industry’s move toward an AI‑driven, autonomous security operations center—and oversee a critical technical transformation: migrating the massive data footprint from F1/Spanner to BigQuery to unlock next‑generation analytics and cost‑efficiency.
Responsibilities
- Define and execute the long‑term technical vision and strategy for the Google SecOps engineering organization.
- Partner with product management, research, and other engineering teams to deliver impactful customer value through Google Cloud Security products and services.
- Build, mentor, and lead a global engineering team, fostering a culture of innovation and high performance.
- Collaborate closely with product management leadership to ensure seamless product integration and a roadmap that meets evolving security market needs.
- Directly oversee the architectural migration from F1/Spanner to BigQuery, ensuring zero‑downtime and enhanced performance for customers.
- Lead the technical development of the Agentic SOC initiative, driving integration of advanced AI and automation into the core analyst workflow.
Minimum Qualifications
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 15 years of experience in software development, with 5 years in a technical leadership role.
- Experience leading and managing a team of software engineers.
- Experience in one or more of the following areas: AI/ML, platform development, distributed systems, cybersecurity.
- Experience leading global organizations.
Preferred Qualifications
- Experience leading massive, mission‑critical data or infrastructure migrations (specifically to BigQuery or similar cloud data warehouses).
- Experience driving AI‑driven product features and autonomous system development.
- Experience setting a long‑term technical vision and strategy for a product area.
- Proven ability to influence and collaborate effectively with a wide range of stakeholders, from individual contributors to senior executives.
- Excellent communication and people skills.
- Demonstrated success in scaling enterprise‑grade security products to a global customer base.
Pay
US: $364,000 – $505,000 (USD) plus a 40 % bonus target, equity, and benefits.