Software Engineering Manager, Growth

Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.

Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.

Our Growth Engineering team takes a first-principles approach to scaling revenue through thoughtful engineering, data, and applied AI. We build systems that turn complex signals into action, helping teams move faster, work smarter, and focus on what matters most.

We’re innovating in how growth systems shape interactions across the revenue motion, connecting internal teams and customer signals into a tighter, smarter feedback loop. By using AI to learn from outcomes and reduce friction, we experiment where traditional approaches tend to fall short.

The systems this team builds are highly visible across the organization and play a meaningful role in how Verkada grows. Our focus is on creating durable growth platforms and measurement capabilities that enable product, marketing, and revenue teams to deliver timely, relevant, and increasingly personalized experiences at scale. This role will report into our Senior Director of Growth Engineering.

We are committed to a thriving in-office culture. This role requires that you be on-site at our HQ in San Mateo, CA 5 days a week.

• →Lead and grow a high-performing Growth Engineering team through inclusive hiring, mentorship, and clear technical leadership
• →Set technical direction and prioritize initiatives that accelerate customer acquisition and expansion, with an eye toward longer-term lifecycle, cross-sell, and retention opportunities
• →Partner closely with engineering, marketing, sales, and revenue teams to design and build AI-powered products and workflows that improve GTM efficiency and effectiveness
• →Own the evolution of our growth platforms, including data pipelines, experimentation frameworks, and products used by teams and customers at Verkada
• →Evaluate and integrate third-party solutions where appropriate, making thoughtful build vs. buy decisions grounded in impact and scalability
• →Act as an engineering architect by defining system design, making key technical decisions, and translating business goals into durable technical roadmaps
• →Stay hands-on through prototyping and targeted development to validate ideas, unblock progress, and maintain a deep understanding of the systems you lead

• 2+ years of experience managing and developing engineering teams, including hiring, coaching, and performance management
• 5+ years of experience as a software engineer, with demonstrated strength in designing scalable, reliable systems
• Experience delivering complex projects in an dynamic environment, balancing speed, quality, and long-term maintainability.
• Strong cross-functional collaborator who communicates clearly and builds alignment across technical and non-technical partners
• Curiosity about emerging technologies—especially AI/ML—and how they can be applied to real GTM problems
• Preferred: experience with Python, SQL, AWS
• Preferred: Familiarity with DAG-based workflow tools and data warehouses 

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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