Growth Product Manager, Insights & Experimentation

Job description

About Arlo: At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day. At Arlo, we’re passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers’ expectations while continuing to push the boundaries of what’s possible in protection technology. We believe everyone deserves to feel safe and secure, whether they’re at home or away, and we’re committed to providing customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless connectivity enables us to deliver a seamless, intelligent security experience that is easy to set up and valuable to customers every day. As we scale our subscription business globally, we’re looking for a Growth Product Manager, Insights & Experimentation to help accelerate how we understand customer behavior, identify growth opportunities, test solutions, and optimize the subscription customer journey. This role sits within the Product-Led Growth side of Arlo’s subscription business. You’ll help increase the team’s learning and execution velocity by uncovering where customers realize value, where they experience friction, why different customer segments behave differently, and what interventions can improve subscription outcomes. You’ll own selected growth initiatives and experiments end to end, deepen behavioral and experiment analysis, identify follow-on opportunities, and translate customer, product, and funnel signals into actions that improve activation, trial-to-paid conversion, customer experience, subscriber health, and subscription revenue. This is an ideal role for a data-forward product thinker – someone with a background in growth product management, product analytics, experimentation, lifecycle optimization, or customer insights who wants to operate close to product decisions and turn complex customer behavior into measurable growth opportunities. This is not a traditional feature PM role. The ideal candidate is comfortable living in behavioral data, funnels, cohorts, experiment results, and customer signals – then turning those insights into hypotheses, product recommendations, experiments, and measurable actions. This is a 1 year fixed-term role What You’ll DoCustomer Journey, Activation & Growth Insights • Develop a deep understanding of how customers move through the subscription lifecycle, with particular focus on trial activation, value realization, conversion, andearly subscriber behavior. • Analyze customer behavior across lifecycle stages, device types, plans, household profiles, feature adoption patterns, and other meaningful cohorts to identify wherecustomers succeed, stall, disengage, or fail to realize subscription value. • Help define and refine meaningful activation and value-realization signals by identifying behaviors that differentiate higher-converting, more engaged, andhealthier subscriber cohorts. • Investigate key growth questions around customer needs, conversion gaps, product usage, segmentation, feature adoption, and friction throughout the subscriptionjourney. • Synthesize qualitative signals from app reviews, surveys, cancellation feedback, Care themes, product reviews, and other customer feedback sources, then connect thosesignals to behavioral data. • Translate customer and behavioral insights into clear product opportunities, hypotheses, segmentation strategies, and experiment recommendations. • Partner with Analytics, Product, Engineering, Marketing, Care, Finance, and other teams to validate findings and identify the highest-value interventions. Experimentation & Growth Optimization • Own selected subscription growth experiments end to end across activation, onboarding, conversion, merchandising, paywalls, feature adoption, checkout,cancellation, engagement, and other high-value areas of the subscription journey. • Partner with Product, Engineering, Design, Analytics, Marketing, Care, and Finance to define experiment hypotheses, success metrics, guardrails, launch requirements,and decision criteria. • Go beyond primary metric reporting by analyzing experiment outcomes across key cohorts, lifecycle stages, plans, device types, behavioral segments, and featureadoption patterns. • Determine not only whether an experiment worked, but for whom it worked, why the result may have occurred, what customer behavior changed, and whatshould happen next. • Translate experiment results into rollout decisions, follow-on tests, iteration opportunities, product recommendations, or roadmap implications. • Own and continuously improve selected growth surfaces or problem areas based on business priorities, such as subscription paywalls, trial experiences, onboarding,feature activation, merchandising, offers, or conversion funnel optimization. • Develop optimization backlogs using funnel data, customer insights, prior experiment learnings, and product opportunities. • Help build a stronger test-and-learn roadmap by connecting experiment results to the next highest-value questions the Growth team should answer.Maintain experiment tracking, readouts, decision logs,