Sr. Manager, Ecommerce Platforms & Operations

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

You'll be our AI-native systems leader for Ecommerce platforms, owning the technical strategy, governance, and day-to-day operations of the platform portfolio that powers experimentation, personalization, and site operations.

As the team's systems architect, you'll design resilient event and identity models, integration patterns, and production data flows that scale while enabling rapid, safe experimentation. You'll lead a small platform team, set the roadmap, and partner across Growth, Engineering, Strategic Delivery, Analytics, Acquisition, and other cross-functional stakeholders.

You’ll prototype and operationalize AI workflows and agentic automations that make the entire team faster and more efficient. You'll also own platform governance, runbooks, SLAs, and vendor relationships.

• →Platform ownership & governance: Own SimpliSafe’s ecommerce platform stack (experimentation/personalization platform, CDP, Google Tag Manager, AI assistant, Microsoft Clarity, and related systems). Define governance, data standards, SLAs, and vendor relationships for each platform.
• →System architecture: Serve as the cross-platform systems architect: design the event/data layer, identity stitching, API integrations, and data flows that enable reliable experimentation, personalization, and analytics.
• →Experimentation enablement: Drive enhancements to the experimentation framework and personalization integrations to increase testing velocity, reduce time-to-launch, and improve experiment quality and learnings.
• →AI workflows & automation: Design, pilot, and scale AI workflows and automation that reduce manual work (experiment setup, analysis, insight generation, prioritization) and responsibly surface AI-driven recommendations to the team.
• →Operational excellence: Implement runbooks, monitoring, cost controls, capacity planning, and performance tracking for platform health and uptime. Own change management and release processes for platform changes.
• →Self-service & tooling: Build intuitive tooling, templates, docs, and training to enable stakeholders to self-serve their work safely and effectively.
• →Leadership & team growth: Hire, coach, and develop the team; set objectives, prioritize work, and model a data-driven, collaborative culture.
• →Measurement & reporting: Define success metrics (experimentation velocity, platform availability, self-service adoption, etc.) and deliver clear dashboards/reports to leadership.

• 6+ years of experience in MarTech, analytics, or platform operations, with demonstrated ownership of enterprise marketing/ecommerce platforms; 3+ years of people leadership or equivalent technical leadership.
• Track record owning or architecting a MarTech/analytics stack (event/data layer, CDP, tag management, experimentation/personalization platforms, session replay, or similar tools).
• Strong technical skills: proficiency with event instrumentation and tagging (Google Tag Manager), CDPs (Rudderstack or similar), APIs, and data pipelines; fluent with SQL and comfortable working with engineers on data modeling.
• Experience with mature experimentation and personalization programs preferred.
• Practical experience designing and operationalizing AI workflows or automation.
• Proven experience managing vendor relationships, defining platform governance, and implementing SLAs, runbooks, and governance processes.
• Excellent cross-functional communication and stakeholder management skills — capable of translating technical tradeoffs to business partners and leading collaborative roadmaps.
• Strong judgment around privacy, data governance, and security requirements (e.g., GDPR/CCPA implications for tracking and personalization).
• Passion for experimentation, operational rigor, and building systems that make teams faster and more autonomous.

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.