life360 VP, Product, Growth Experimentation at Life360 leads the free member lifecycle and experimentation program for growth across global markets. The role involves hands-on leadership and collaboration with multiple teams to drive durable growth.
Responsibilities
Life360 operates as an AI-native organization, and this role is expected to be a visible example of it. You will use AI throughout your workflow, from hypothesis generation to analysis to readouts, and help define what AI-native experimentation looks like at Life360.
Drive outcomes across the full funnel with a high-velocity experimentation program. Build and work hypothesis trees across acquisition, activation, onboarding, engagement, and retention to find and exploit opportunities that drive incremental member growth, not just shift usage between features, and that compound into MAU. Make explicit calls about where to spend experimentation capacity and where not to.
Match the experiment to the opportunity. Choose the right method for the question in front of you, whether that is an A/B/n test, multi-armed bandit optimization, or a long-term holdout. Bring real statistical discipline to power and minimum detectable effect, guardrails, interference and network effects, novelty effects, and correlation versus causation.
Raise velocity and quality across the teams you partner with. Build the reusable playbooks, templates, and standards that help teams experiment well, and partner with Data Science and Engineering to improve the experimentation platform and instrumentation.
Turn results into decisions and institutional knowledge. Produce crisp readouts, make defensible ship, iterate, or kill calls, and build a durable learning record so the company compounds what it learns instead of relearning it.
Protect member trust. Ensure experiments create genuine member value and steer the organization away from short-term metric gains that would erode trust in a product entrusted with families' safety.
Operate as an AI-native product leader. Use AI to compress the path from question to decision to shipped experiment, build the reusable AI artifacts the rest of the team runs on, and help define the playbook for AI-native experimentation at Life360.
What Success Looks Like
30 days. You are ramped on the funnel, the data, and the experimentation platform. The highest-leverage growth opportunities are mapped into hypothesis trees, a first cut of the metric framework (north star, driver metrics, guardrails) is drafted, and your first experiments are already in the market. You meet the team, peers in other disciplines and start to shape the go-forward strategy.
60 days. A high-velocity testing cadence is running across the funnel, multiple experiments have read out with crisp ship, iterate, or kill calls, the first validated wins are shipping, and the metric framework is being adopted by the teams you work with. Your experimentation and growth strategy is circulated, accepted and cheered on by your peers with the quality and cadence you are striving for.
90 days. Experimentation velocity and rigor have measurably stepped up, and you are producing a compounding stream of validated wins that move the activation, engagement, and retention drivers that ladder to MAU. The playbooks and standards you have built are raising the bar across the teams you work with, all while holding member trust.
Qualification
15+ years in consumer productsYou design metric frameworksDeep experiment-design fluencyMobile-first consumer fluencyAI-Native ExpectationsDaily use
Required
15+ years in consumer products, including deep, hands-on ownership of growth and experimentation at scale, ideally in a business with tens of millions of users where you were accountable for moving top-line outcomes, not just shipping features.
10+ years of managing high performing teams who have delivered outcomes. You are a leader, coach and individual contributor all rolled into one. You have shown you can recognize, grow and retain talented individuals who can help drive key outcomes the business needs and delights our members.
Strategic ownership with execution muscle. You shape strategy in highly ambiguous problem spaces with little guidance, decompose it into clear direction across the teams you work with, break vague mandates into shippable milestones, make explicit prioritization calls under constrained capacity, and say no to good ideas with a defensible reason. Bias toward shipping over architecting.
You design metric frameworks, you do not just track KPIs. You can derive the correct primary metric under questioning, defend it, and explain the trade-offs of the ones you rejected.
Deep experiment-design fluency: power and minimum detectable effect, guardrail metrics, A/B/n testing and multi-armed bandits, holdouts, sequential-testing pitfalls, interference and network effects, novelty, and the difference between correlation and causation. You can stress-test someone else's analysis and find the flaw.
A track record of moving top-line growth metrics such as activation, engagement, or retention through a portfolio of experiments, not a single lucky test, and the judgment to know when to stop investing in one.
You think natively in funnels and cohorts, and you can tell genuine incremental growth from a vanity metric or a mix shift between features.
Cross-functional leadership as a senior peer. Engineering, Design, Data Science, and Analytics seek you out; you raise the experimentation bar across the teams you work with, not just within your own work; and you take ownership of outcomes beyond your immediate surface to help the wider funnel win.
Mobile-first consumer fluency, including how experimentation and instrumentation behave differently across iOS and Android and across international markets.
Deep empathy for families and comfort with the central tension of growth at Life360: every experiment either earns or erodes the trust of members who rely on us for safety.
AI-Native Expectations
Daily use: You embed AI across your workflow for real, substantive tasks, including research, analysis, experiment design, prototyping, drafting, and readouts.
