Site Optimization Manager - Life360

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with location sharing, safe driver reports, crash detection, and emergency dispatch. Life360 serves approximately 102.4 million monthly active users across more than 180 countries.

Life360 is a Remote First company with over 500 employees. A remote work environment is the primary experience for all team members.

We are AI Native

We are building an AI-native company where AI is an integral part of how we build and operate. You may be asked to demonstrate proficiency with AI tools or discuss how you leverage AI during the interview process.

About The Team

Sitting inside Journey Marketing, the eCommerce team is a mix of merchandisers, marketers, data analysts, and designers dedicated to turning every member touchpoint into long-term loyalty. From the online store to in-app purchases, this team builds the experience that converts interest into long-term customer relationships.

About the Role

The Site Optimization Manager drives continuous improvement of Life360's digital commerce experience through experimentation, behavioral analysis, and data-driven optimization. You'll manage the day-to-day execution of web experimentation and personalization programs, translating customer insights and performance data into measurable improvements in conversion, engagement, and revenue.

This is a hands-on role combining analytical rigor with strong technical execution. Working closely with Web Experience, Analytics, Product, Engineering, and Merchandising, you'll help accelerate the optimization roadmap and build a scalable culture of experimentation.

Key Responsibilities

• Site Performance Monitoring: Continuously monitor site metrics to surface regressions, anomalies, and emerging trends proactively alongside business context and actionable recommendations.
• Friction Identification: Synthesize quantitative funnel data with qualitative signals (session recordings, heatmaps, usability findings) to prioritize conversion optimization opportunities.
• Analytics Collaboration: Partner with Analytics to define measurement requirements and track key KPIs like CVR, funnel drop-offs, AOV, and session quality across conversion flows.
• A/B Testing Operations: Own test scoping, configuration, builds, QA, traffic allocation, and post-test documentation with statistical rigor.
• Backlog Management: Maintain and groom the live experiment backlog in partnership with leadership to ensure timely execution.
• Result Analysis: Evaluate statistical significance, size revenue impact, and produce clear readouts to guide go/no-go decisions.
• Personalization: Manage segment-to-experience workflows, coordinate creative assets with UX/UI, and track lift versus baseline.
• Platform Governance: Partner with Product and Engineering on experimentation platform configuration, feature flag governance, and event tagging validation.
• Execution: Support hands-on execution using CMS, commerce platforms, and low-code tools.
• Financial Modeling: Size expected lift for proposed tests and reconcile actual post-launch results to projections.
• Documentation: Maintain experimentation best practices and document findings in Confluence.

What We’re Looking For

• Experience: 4–6 years of experience in eCommerce or digital analytics, with at least 2 years directly managing an experimentation program (preferably within a hardware + subscription model).
• Testing Tools: Hands-on proficiency with Statsig or similar experimentation platforms (Optimizely, VWO, Adobe Target, Dynamic Yield).
• E-Commerce Tech: Familiarity with headless commerce architectures, CMS, and modern platforms such as BigCommerce and Contentful.
• Analytics & Data: Fluent in GA4, Amplitude, or similar tools. Strong ability to write SQL and build dashboards in Looker, Tableau, or equivalent tools.
• Personalization: Knowledge of personalization tools, segment-based targeting, and audience split configurations.
• AI Tooling: Experience leveraging AI-powered tools to accelerate analysis, generate test hypotheses, and streamline workflow efficiency.
• Communication & Project Management: Detail-oriented operator capable of managing multiple concurrent tests and clearly explaining complex data to non-technical stakeholders.
• Education: Bachelor’s degree or equivalent practical experience.