Senior Product Designer II, Revenue Experimentation

📍 Job Overview

Job Title: Senior Product Designer II, Revenue Experimentation

Company: Life360

Location: Remote, USA / Remote, Canada

Job Type: Full-Time

Category: Product Design / Revenue Operations / Growth Operations

Date Posted: September 09, 2026

Experience Level: 6+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Design and execute a high volume of experiments across Life360's revenue and monetization surfaces, including trial conversion, trial-to-paid conversion, pricing, SKU routing, and churn/win-back strategies.

• Translate loosely defined experiment briefs into well-scoped, testable hypotheses, leveraging user research and data to validate or challenge underlying assumptions.

• Act as a critical, PM-partnering voice on experiment ideas, leading design for initiatives originating from your own insights and constructively pressure-testing those from other stakeholders.

• Partner closely with Data Science and Analytics teams to define success metrics, interpret experiment results, and translate learnings into actionable follow-on hypotheses and product roadmap decisions.

• Present experiment concepts, in-flight learnings, and final results to cross-functional stakeholders and leadership, effectively communicating design rationale and business impact.

📝 Enhancement Note: While the title is "Senior Product Designer II," the core responsibilities and team focus on "Revenue Experimentation," "subscription revenue growth," and "fast, validated experiments" strongly indicate a significant overlap with Revenue Operations and Growth Operations. This role requires a blend of design craft and a deep understanding of GTM strategies, A/B testing methodologies, and data-driven decision-making to optimize monetization funnels. Candidates should highlight experience in designing, executing, and analyzing experiments with measurable business impact.

📈 Primary Responsibilities

• Drive the design and execution of a high-volume A/B and multivariate testing program across Life360's subscription funnel, from initial user acquisition and trial conversion to paid subscription upgrades and churn mitigation.

• Develop and refine experiment briefs by conducting user research, analyzing existing data, and formulating clear, testable hypotheses that directly address growth objectives and revenue targets.

• Champion innovative design solutions for monetization surfaces, including paywalls, pricing pages, SKU selection flows, and win-back campaigns, ensuring a seamless and compelling user experience.

• Collaborate with Product Managers, Engineers, Data Scientists, and Content Strategists throughout the entire experiment lifecycle, from ideation and hypothesis generation to design, development, QA, and post-launch analysis.

• Define key performance indicators (KPIs) and success metrics in partnership with Data Science and Analytics teams to accurately measure the impact of experiments and inform future iterations.

• Translate complex experiment results into clear, concise insights and actionable recommendations for product strategy, roadmap planning, and ongoing optimization efforts.

• Present experiment concepts, interim findings, and conclusive outcomes to diverse audiences, including executive leadership, product teams, and engineering, effectively articulating the business value and design rationale.

• Proactively identify new opportunities for revenue growth and user value enhancement through continuous ideation, competitive analysis, and a deep understanding of user needs and market trends.

• Ensure the quality and integrity of experimentation methodologies and design outputs, maintaining high standards for craft, documentation, and data-driven validation.

• Leverage AI tools to accelerate design processes, generate creative concepts, analyze data, and enhance the velocity and impact of experimentation efforts.

📝 Enhancement Note: The responsibilities emphasize a strong focus on the entire experiment lifecycle, from hypothesis generation to result interpretation and roadmap integration. This requires not just design skills but also a strategic understanding of growth levers, monetization strategies, and statistical analysis principles common in Revenue Operations and Growth Marketing roles.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction, Psychology, Statistics, or a related field, or equivalent practical experience. Experience:

• Minimum of 6 years of professional product design experience, with a significant portion dedicated to growth initiatives, experimentation, or subscription/monetization design within a fast-paced environment.

• Proven track record of successfully designing, launching, and iterating on A/B or multivariate experiments that have demonstrably driven business growth and revenue.

• Experience operating effectively in environments with a high degree of ambiguity, demonstrating the ability to take loosely defined briefs and transform them into well-scoped, testable hypotheses grounded in research and data. Required Skills:

• Product Design & Strategy: Expertise in end-to-end product design, with a strong emphasis on growth strategy, user-centric design, and conversion rate optimization (CRO).

• Experimentation Methodologies: Deep understanding and practical experience with A/B testing, multivariate testing, and other experimental design principles for validating hypotheses and measuring impact.

• Data-Informed Decision Making: Ability to leverage quantitative and qualitative data, user research, and analytics to inform design decisions, validate assumptions, and interpret experiment results.

• Figma Proficiency: Advanced proficiency in Figma for wireframing, prototyping, high-fidelity design, and collaboration, including experience with component libraries and design systems.

• Hypothesis Generation & Problem Framing: Skill in identifying key user pain points and business opportunities, framing them as testable hypotheses, and scoping experiments to validate or invalidate these assumptions.

• Cross-Functional Collaboration: Proven ability to partner effectively with Product Managers, Engineers, Data Scientists, Content Strategists, and other stakeholders across the full product development and experimentation lifecycle.

• Visual Design Craft & Animation: Strong visual design skills with a keen eye for aesthetics, usability, and brand consistency, complemented by hands-on animation skills for creating engaging user experiences.

Preferred Skills:

• Experimentation & Analytics Tooling: Familiarity with or experience using experimentation platforms (e.g., Statsig, Optimizely, VWO) and analytics tools (e.g., Amplitude, Mixpanel, Google Analytics).

• Subscription Monetization Expertise: Specific experience designing for subscription models, paywalls, pricing tiers, and churn reduction strategies.

• AI Tool Proficiency: Comfort and experience using AI tools to augment design workflows, accelerate research, generate creative assets, and improve overall productivity.

• User Research: Experience conducting various forms of user research (e.g., interviews, usability testing, surveys) to gather insights and inform experiment design.

• Content Strategy Collaboration: Ability to work closely with content creators to develop compelling copy and messaging for experiments.

📝 Enhancement Note: The required skills go beyond traditional product design, emphasizing a strong analytical and strategic mindset crucial for revenue and growth operations. The inclusion of "data-informed decision making," "hypothesis generation," and familiarity with "experimentation and analytics tooling" highlights the operations-centric nature of this design role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Experimentation Case Studies: Showcase at least 2-3 detailed case studies that highlight your experience designing, executing, and analyzing significant A/B or multivariate experiments. Each case study should clearly articulate:

  • The initial problem or opportunity statement.
  • The hypothesis being tested.
  • Your specific design contributions and rationale.
  • The experimentation methodology and tools used.
  • The quantitative results and measurable business impact (e.g., conversion rate uplift, revenue increase, churn reduction).
  • Key learnings and subsequent iterations or recommendations.

• Problem Framing & Hypothesis Development: Provide examples that demonstrate your ability to take loosely defined problems or business objectives and translate them into well-scoped, testable hypotheses.

• Iteration & Impact: Illustrate how you iterated on designs based on experiment results and how your design decisions directly contributed to positive business outcomes. Focus on the impact of your work, not just the final polished screens.

• Collaboration & Process: Detail your collaborative process with PMs, Engineers, and Data Scientists throughout the experiment lifecycle, showcasing how you ensured alignment and successful execution.

• Tool Proficiency: Briefly mention the experimentation and analytics tools you have used in your portfolio projects.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in designing and optimizing workflows for experimentation, from initial ideation and brief creation to hypothesis validation and experiment design.

• Implementation & Automation: Show an understanding of how designs are implemented within experimentation platforms and how you collaborate with engineering to ensure accurate setup and execution.

• Measurement & Performance Analysis: Highlight your involvement in defining success metrics, analyzing experiment results, and reporting on the performance and impact of your design initiatives.

📝 Enhancement Note: For a role focused on experimentation, the portfolio is critical. It needs to go beyond showcasing design aesthetics and instead focus on the strategic thinking, analytical rigor, and measurable impact of the candidate's work in driving revenue growth through designed experiments. This is a key differentiator for operations-minded candidates.

💵 Compensation & Benefits

Salary Range:

• United States: $152,000 - $223,000 USD per year.

• Canada: $176,000 - $207,000 CAD per year.

Notes on Salary: The final base pay offered will be determined by a combination of factors including, but not limited to, the candidate's geographic location (reflecting regional cost of living and market rates), job-related knowledge, skills, and experience. This range is a guideline, and individual compensation may vary.

Benefits:

• Health & Wellness: Comprehensive medical, dental, and vision insurance plans. For US employees, these are 100% company-paid. Canadian employees receive life and disability insurance, along with supplemental medical and dental options.

• Financial Security: 401(k) plan with company matching program in the US; RRSP with DPSP plan for Canadian employees.

• Family Support: Paid parental leave.

• Mental Well-being: Access to a Mental Wellness Program and Employee Assistance Program (EAP) for comprehensive mental health support.

• Time Off: Generous and flexible Paid Time Off (PTO), company-wide holidays, and summer and winter shutdown periods for work-life balance.

• Professional Development: Robust Learning & Development programs to support continuous skill enhancement and career growth.

• Remote Work Support: Reimbursement and provision of equipment, tools, and resources necessary for a productive remote work environment.

• Company Perks: Free Life360 Platinum Membership and complimentary Tile trackers.

• Equity: Potential for stock options or other equity grants.

Working Hours:

• Standard full-time commitment is approximately 40 hours per week. As a remote-first company, Life360 emphasizes flexibility in work schedules, allowing individuals to manage their time effectively to meet experiment deadlines and collaboration needs.

📝 Enhancement Note: The salary ranges provided are specific to US and Canadian markets, reflecting regional compensation standards. The benefits package is comprehensive, offering strong support for health, financial well-being, and professional growth, which are key considerations for operations professionals seeking long-term career stability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Mobile Applications, Family Safety & Connectivity. Life360 operates in a rapidly evolving tech landscape, focusing on creating essential tools for modern families. The company leverages its large user base and data insights to innovate in areas like location sharing, driver safety, and device tracking, with a growing emphasis on subscription revenue models.

Company Size: Over 500 employees (and growing). This size indicates a company that has moved beyond startup chaos but retains agility and a dynamic work environment. For operations professionals, this means opportunities for impact and influence without being lost in a massive bureaucracy, while also benefiting from established processes and resources.

Founded: Life360 has a history of innovation, establishing itself as a leader in family safety technology. Its founding and growth trajectory suggest a company that understands user needs and market shifts, now focusing on expanding its service offerings and revenue streams.

Team Structure:

• Product Design Team: A diverse and collaborative group responsible for the overall vision, strategy, and execution of member experiences. This team acts as the creative engine, ensuring high standards of craftsmanship and user delight.

• Growth Revenue Experimentation Team: A specialized sub-team within Product Design, acting as the primary engine for Life360's subscription revenue growth. This team is highly data-driven and focused on fast, validated experimentation across the entire subscription funnel.

• Reporting Structure: The Senior Product Designer II will likely report to a Design Lead or Head of Product Design, with close daily collaboration with Product Managers, Data Scientists, and Engineers within the Growth Revenue Experimentation team.

• Cross-functional Collaboration: This role is inherently cross-functional, requiring constant partnership with Product Management for strategy and roadmapping, Data Science for analysis and measurement, Engineering for implementation, and potentially Marketing or Content teams for campaign alignment.

Methodology:

• Data-Driven Experimentation: The team operates on a principle of rapid, data-validated experimentation. Decisions are grounded in research and performance metrics, with a strong emphasis on hypothesis testing and learning.

• Agile & Iterative Design: The fast-paced nature demands an agile approach, with continuous iteration based on experiment results and user feedback.

• AI Integration: The team is explicitly "AI-Native," embedding AI tools across all workflows for research, analysis, content creation, prototyping, and measurement to accelerate velocity and impact.

Company Website: life360.com

📝 Enhancement Note: The company's "AI-Native" stance and explicit mention of integrating AI into daily workflows are critical. For operations roles, this signifies an expectation for candidates to be proficient with AI tools, understand how to leverage them for efficiency and insight generation, and contribute to evolving AI-driven processes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer II, indicating a mid-to-senior level individual contributor. Within the context of operations, this equates to a seasoned professional capable of independently driving complex projects, mentoring junior team members, and significantly influencing strategic decisions related to revenue growth and monetization. The emphasis on "leading design for experiments that originate from your own ideas" and "acting as a critical, PM-partnering voice" highlights a leadership capacity beyond pure design execution.

Reporting Structure: The Senior Product Designer II will report into the Product Design team structure, likely to a Design Manager or Director. However, day-to-day operations will be heavily influenced by close partnerships with Product Managers and Data Scientists within the Growth Revenue Experimentation pod. This structure allows for both domain-specific design guidance and project-specific operational alignment.

Operations Impact: The role's direct impact is on Life360's subscription revenue growth. By designing and testing experiments that optimize conversion funnels, pricing strategies, and churn prevention, this designer will directly influence key business metrics. The "High Intensity, High Impact" company value underscores the expectation that this role will contribute significantly and measurably to the company's financial success and strategic objectives.

Growth Opportunities:

• Specialization in Growth & Monetization: Deepen expertise in growth marketing, experimentation strategy, and subscription economics, becoming a go-to specialist in revenue optimization design.

• Cross-functional Leadership: Develop leadership skills by influencing product strategy and roadmap decisions through data-driven design insights, potentially leading larger experimentation initiatives.

• AI Tool Mastery: Become a leader in leveraging AI for design and experimentation, contributing to the company's AI-native culture and potentially training or mentoring others.

• Career Advancement: Potential pathways include Senior Product Designer III, Lead Product Designer, Design Manager, or transitioning into Product Management or Growth Strategy roles where design and analytical skills are highly valued.

• Industry Exposure: Gain valuable experience in a high-growth, data-intensive environment within the consumer tech and family safety sector, which can open doors to various operational and product roles.

📝 Enhancement Note: The career path for a "Product Designer" in a "Revenue Experimentation" team is highly aligned with roles in Growth Operations or Product Operations. Highlighting the strategic impact and potential for leadership in driving revenue metrics is key for operations-focused candidates.

🌐 Work Environment

Office Type: Life360 operates as a "Remote First" company. This means the primary work experience for all employees is remote. While specific locations are listed (USA, Canada), the emphasis is on a distributed, asynchronous-friendly work environment rather than a traditional office setting.

Office Location(s): Remote, USA / Remote, Canada. This indicates that candidates can be based anywhere within the United States or Canada, offering significant flexibility. The company likely supports employees across various time zones within these countries.

Workspace Context:

• Collaborative Environment: Despite being remote, Life360 fosters collaboration through digital tools (Figma, Slack, etc.) and structured communication practices. Expect regular virtual meetings, ideation sessions, and design reviews.

• Operations Tools & Technology: Access to industry-standard design tools (Figma), experimentation platforms (Statsig mentioned), analytics tools (Amplitude, etc.), and communication platforms (Slack). The company provides equipment and reimbursement support to ensure a productive remote setup.

• Team Interaction: While physically distributed, the company encourages interaction through dedicated team channels, virtual social events, and structured cross-functional project work, ensuring designers remain connected and aligned with business objectives.

Work Schedule:

• The standard expectation is a 40-hour work week. However, as a remote-first company with a global user base and distributed team, there's an emphasis on flexibility. This allows operations professionals to manage their time effectively, balancing deep work for analysis and design with synchronous collaboration needs across different time zones. Asynchronous communication is encouraged.

📝 Enhancement Note: The "Remote First" nature of Life360 is a significant factor. For operations roles, this implies a need for strong self-discipline, excellent asynchronous communication skills, and comfort with digital collaboration tools. The flexibility offered is also a key benefit for managing complex analytical tasks and iterative design processes.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume, focusing on relevant experience in product design, growth, and experimentation.

• Hiring Manager Interview: A discussion with the hiring manager (likely a Design Lead or PM) to assess your experience, approach to problem-solving, and cultural fit. Expect questions about your portfolio and how you've driven impact.

• Design Exercise / Portfolio Review: This is a critical stage. You will likely present your portfolio, focusing on experimentation case studies. Be prepared to walk through your process, hypotheses, design decisions, and the measurable impact of your work. Some roles may include a take-home design challenge or a live design critique.

• Cross-functional Interviews: Interviews with key collaborators such as Product Managers, Data Scientists, and Engineers. These sessions will assess your ability to work cross-functionally, communicate effectively, and understand technical constraints and data insights.

• Final Interview: Potentially a conversation with a senior leader within the product or design organization to ensure alignment with company vision and values.

Portfolio Review Tips:

• Focus on Experimentation Impact: Prioritize showcasing 2-3 strong case studies that detail your role in designing and executing experiments. Quantify the results – how much did you increase conversion, revenue, or reduce churn?

• Articulate the "Why": Clearly explain the problem you were trying to solve, the hypotheses you formed, and the rationale behind your design decisions. Show your thought process, not just the final screens.

• Demonstrate Process: Walk through your iterative design process, including user research, data analysis, and how you incorporated feedback and learnings.

• Showcase Collaboration: Highlight how you partnered with PMs, engineers, and data scientists. Explain your role in defining metrics and interpreting results.

• AI Integration: If applicable, be ready to discuss how you used AI tools to enhance your design process, accelerate workflows, or generate insights.

• Tell a Story: Structure your portfolio presentation as a narrative, guiding the interviewers through the challenge, your approach, and the successful outcome.

Challenge Preparation:

• Understand the Growth Funnel: Familiarize yourself with common user acquisition, activation, retention, and monetization funnels, particularly for subscription products.

• Hypothesis Generation Practice: Practice framing hypotheses for various growth scenarios related to pricing, features, or user onboarding.

• Data Interpretation: Be ready to discuss how you interpret A/B test results and what conclusions you draw from them.

• AI Tool Familiarity: Be prepared to discuss your experience with AI tools and how they can be applied to product design and experimentation.

📝 Enhancement Note: The emphasis on a "portfolio that showcases experimentation work, problem framing, hypotheses, iteration, and measurable impact" is paramount. For an operations-focused candidate, this means translating design skills into quantifiable business results and demonstrating a strategic understanding of growth levers.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for wireframing, prototyping, high-fidelity design, and collaboration. Expect detailed Figma files and a need for strong organizational habits within the tool.

• Experimentation Platforms: Proficiency or familiarity with platforms like Statsig (explicitly mentioned), Optimizely, VWO, LaunchDarkly, or similar A/B testing and feature flagging tools is highly desirable.

• Prototyping Tools: While Figma offers robust prototyping, other tools like InVision or Principle might be used for more advanced animations or specific use cases.

Analytics & Reporting:

• Product Analytics: Experience with tools such as Amplitude, Mixpanel, Google Analytics, or similar for understanding user behavior, tracking events, and analyzing product usage patterns.

• Data Visualization & BI Tools: Familiarity with tools like Tableau, Looker, or Power BI may be beneficial for exploring data and understanding experiment results, though direct analysis is likely done by Data Scientists.

• Spreadsheet Software: Proficiency in Excel or Google Sheets for basic data manipulation and analysis.

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how user data flows from CRM systems (e.g., Salesforce, HubSpot) into analytics and experimentation platforms can be beneficial for context.

• Project Management & Collaboration: Tools like Jira, Asana, Trello, or similar for managing experiment tasks, sprints, and cross-functional workflows. Slack or Microsoft Teams for daily communication.

📝 Enhancement Note: The explicit mention of "Statsig" as an experimentation tool is a key differentiator. Candidates should highlight any experience with this or similar robust experimentation platforms. The AI-Native expectation means candidates should also be prepared to discuss how they integrate AI tools into these workflows.

👥 Team Culture & Values

Operations Values:

• Members Before Metrics: A core value emphasizing user-centricity. While this role is focused on revenue, the underlying principle is to drive growth by enhancing the value and experience for Life360 members (families). This means experiments should aim for win-win outcomes.

• High Intensity, High Impact: This value signifies an expectation for a driven, results-oriented work ethic. Operations professionals in this environment are expected to be proactive, work efficiently, and focus on delivering significant, measurable outcomes.

• Be Direct With Respect: Encourages open, honest, and constructive communication. In an experimentation context, this means being able to challenge assumptions respectfully, provide direct feedback on designs and hypotheses, and engage in candid discussions about results.

• Be a Good Person: Promotes integrity, trust, and a positive team environment. This is crucial for collaborative operations where shared understanding and mutual support are key to success.

Collaboration Style:

• Proactive Partnership: The team expects individuals to contribute ideas proactively, rather than passively executing tasks. This involves actively participating in ideation sessions and bringing forward experiment concepts.

• Strategic Partner to PMs: Designers are expected to act as true strategic partners to Product Managers, not just executors. This involves pressure-testing ideas, contributing to strategy, and co-owning outcomes.

• Cross-functional Integration: Collaboration extends beyond the immediate team to ensure consistency and alignment across product areas, especially when experiments touch multiple parts of the user experience.

• Organized & Traceable Work: A strong emphasis on maintaining clean, well-documented work (Figma files, hypothesis documentation) to ensure transparency and facilitate collaboration and knowledge sharing.

• Early Engineering Involvement: Involving engineers early in the design process to identify technical feasibility and constraints proactively.

📝 Enhancement Note: The company values are directly applicable to operations roles. "Members Before Metrics" ensures that revenue-driven experiments are ethically sound and add value, while "High Intensity, High Impact" speaks to the expected performance and output. "Be Direct With Respect" is crucial for the iterative and feedback-heavy nature of experimentation.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Experiment Velocity and Craftsmanship: The need to run a "high volume of tests" while maintaining design quality and rigor presents a constant challenge. This requires efficient workflows, strong prioritization skills, and effective use of tools.

• Navigating Ambiguity: Experiment briefs often start loosely defined. The challenge lies in conducting necessary research and analysis to validate problems and refine them into testable hypotheses, while also managing stakeholder expectations.

• Translating Data into Design Action: Effectively interpreting complex experiment results and translating them into actionable design changes or new hypotheses requires a strong analytical mindset alongside design skills.

• AI Workflow Integration: Staying current with rapidly evolving AI tools and effectively integrating them into design and experimentation workflows to achieve "meaningful leverage" requires continuous learning and experimentation with new techniques.

• Remote Collaboration & Communication: Maintaining strong collaborative relationships and ensuring clear communication across distributed teams and time zones requires proactive effort and mastery of digital collaboration tools.

Learning & Development Opportunities:

• Deep Dive into Growth Experimentation: Become an expert in the full lifecycle of growth experiments, from hypothesis generation and design to statistical analysis and impact measurement.

• Subscription Monetization Mastery: Gain in-depth knowledge of subscription business models, pricing strategies, conversion funnels, and churn reduction techniques.

• AI Tool Proficiency & Leadership: Develop advanced skills in leveraging AI for design and product development, potentially becoming a subject matter expert and sharing best practices within the company.

• Cross-functional Strategy Influence: Hone skills in influencing product strategy and roadmap decisions through data-backed design insights, potentially leading larger strategic initiatives.

• Mentorship & Skill Sharing: Contribute to the team's growth by sharing expertise in design, experimentation, or AI tools, fostering a culture of continuous learning.

📝 Enhancement Note: This role offers a unique blend of design and operational challenges. The emphasis on AI integration and balancing speed with quality are key growth areas for individuals interested in the intersection of product development and business operations.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and ran a significant A/B test. What was the hypothesis, your design contribution, the results, and what did you learn?" (Focus on quantifying impact and articulating the process.)

• "How do you approach validating a loosely defined experiment brief? Walk me through your process from initial ambiguity to a testable hypothesis." (Showcase research, data analysis, and problem-framing skills.)

• "Imagine we want to increase trial-to-paid conversion by 5%. What are some initial hypotheses you might explore, and how would you design experiments to test them?" (Demonstrate creative thinking, understanding of conversion funnels, and experimental design.)

• "How do you balance the need for speed in experimentation with maintaining design quality and user experience?" (Address your approach to efficiency, prioritization, and craft.) Company & Culture Questions:

• "How do you see AI impacting the future of product design and experimentation, and how do you leverage AI in your current workflow?" (Be prepared to discuss specific tools and strategies.)

• "Life360 values 'Members Before Metrics.' How do you ensure that revenue-driving experiments also enhance the user experience?" (Connect metrics-driven goals with user value.)

• "Describe your experience working in a remote-first environment. What strategies do you use to collaborate effectively with distributed teams?" (Highlight communication, organization, and asynchronous work skills.)

• "How do you approach receiving and giving constructive feedback, especially in a 'Be Direct With Respect' culture?" (Show maturity and collaborative spirit.) Portfolio Presentation Strategy:

• Lead with Impact: Begin by highlighting the key business outcomes your experimentation work has achieved.

• Structure Your Case Studies: For each case study, clearly outline: Problem/Opportunity -> Hypothesis -> Your Role & Design Process -> Tools Used -> Results (Quantified) -> Learnings & Next Steps.

• Focus on the "Why" and "How": Explain your decision-making process, the rationale behind your design choices, and how you used data and research to inform them.

• Be Ready for Deep Dives: Anticipate detailed questions about your design choices, the data interpretation, and your collaboration with other teams.

• Showcase Iteration: Demonstrate how you learned from experiment results and iterated on designs to achieve better outcomes.

• Highlight AI Usage (if applicable): Be prepared to discuss how AI tools helped you in the process, e.g., generating initial concepts, analyzing user feedback, or creating design assets.

📝 Enhancement Note: Interview preparation should strongly emphasize the quantifiable impact of design decisions on revenue and growth metrics. Candidates need to demonstrate a blend of design craft, analytical rigor, and strategic thinking aligned with operations objectives.

📌 Application Steps

To apply for this Senior Product Designer II, Revenue Experimentation position:

• Submit your application through the Life360 careers portal via the provided Greenhouse link.

• Portfolio Customization: Tailor your resume and portfolio to prominently feature your experience in product design for growth, A/B testing, subscription monetization, and driving measurable business impact. Select case studies that best exemplify your ability to design, test, and iterate on revenue-generating features.

• Resume Optimization: Ensure your resume clearly highlights keywords related to experimentation, growth strategy, data-driven design, and proficiency with relevant tools (Figma, experimentation platforms). Quantify achievements wherever possible (e.g., "Increased trial conversion by X%").

• Interview Preparation: Practice articulating your design process, hypothesis formulation, and experiment results. Prepare to discuss how you leverage AI tools and collaborate with cross-functional teams. Rehearse presenting your portfolio, focusing on the narrative of impact and iteration.

• Company Research: Familiarize yourself with Life360's mission, products, and recent growth initiatives. Understand their "AI-Native" approach and how it aligns with their operational strategy. Research their current monetization strategies and user base to better tailor your responses.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.