About the Job
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 a range of services, including location sharing, safe driver reports, and crash detection with...
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basica...
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Key Responsibilities
Design and run a high volume of experiments across Life360's revenue and monetization surfaces, from trial conversion, trial-to-paid conversion to pricing, SKU routing, and churn/win-back.
Turn loosely defined experiment briefs into well-scoped, testable hypotheses, using research and data to validate or challenge the underlying assumptions.
Lead design for experiments that originate from your own ideas, and act as a critical, PM-partnering voice on ideas that originate elsewhere.
Partner with Data Science and Analytics to define success metrics, interpret experiment results, and translate learnings into follow-on hypotheses.
Present experiment concepts, in-flight learnings, and results to cross-functional stakeholders and leadership.
Required Skills & Abilities
6+ years of product design experience, ideally with exposure to growth, experimentation, or subscription/monetization design.
A track record of shipping and iterating on A/B or multivariate experiments in a fast-paced, high-velocity environment.
Comfort operating with ambiguity, able to take a loosely defined brief and turn it into a well-scoped, testable hypothesis using research or data.
A proactive, ideas-first mindset: someone who brings concepts to the table rather than waiting to be handed a fully-formed brief.
Strong collaboration skills, able to both lead from your own ideas and constructively pressure-test others', as a true creative and strategic partner to PMs.
Experience partnering closely with engineers, content, and data science across the full experiment lifecycle, from concept to bug bash to results.
Excellent organizational habits: clean, well-documented Figma files and clear, traceable rationale for design decisions.
Fluency in Figma; familiarity with experimentation and analytics tooling (e.g., Optimizely, Amplitude, Statsig, or similar) is a plus.
Comfort using AI tools to accelerate design and production work.
Strong visual design craft, with hands-on animation skills.
A portfolio that showcases experimentation work, problem framing, hypotheses, iteration, and measurable impact, not just polished final screens.
Operates in a fast-paced, dynamic environment, balancing multiple experiments at once.
Comfortable with ambiguity. Experiment briefs often start loosely defined, and it's the designer's job to validate the underlying problem (through research or data) and refine it into something well-scoped enough to actually test, confirming or challenging the original assumptions along the way.
Contributes ideas proactively, including in regular ideation sessions focused on a specific theme, bringing forward experiment concepts, not just executing others'.
Partners with PMs as a true collaborator: leads projects that originate from their own ideas, and acts as a critical partner on PM-originated ideas, pressure-testing them for UX soundness and product fit rather than simply executing.
Collaborates across design and other departments when an experiment touches product areas outside their own, to keep the experience consistent and aligned.
Keeps work organized and traceable: clean file structure, documented hypotheses and rationale, and clean, well-organized Figma files so anyone can see what's being tested, what's been done, and why.
Involves engineers early in the design process to surface technical questions and constraints before they become blockers.
Participates in bug bashes, testing experiments before launch to confirm the experience matches intent.
Uses AI as a creative and productivity partner, leveraging skills, automation, and AI-generated illustrations or animations where it makes sense, to move faster and free up more time for craft.
Daily use: You embed AI in all your workflows and use it for real, substantive tasks, including research, analysis, drafting, prototyping, analytics and experimentation.
Review and accountability for AI output: AI-generated outputs get the same level of care of as any of your deliverables. You are accountable for everything you ship.
Velocity: We expect senior practitioners who use AI well to operate with meaningful leverage: doing more with the same time, taking on problems that would otherwise require a larger team.
Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
