Growth Product Manager, Insights & Experimentation

Arlo Technologies, Inc.; Milpitas (CA); On-site; USD 135,000 - 145,000; Full time

Job summary

Arlo Technologies, Inc. is seeking a Growth Product Manager, Insights & Experimentation to accelerate understanding of customer behavior, identify growth opportunities, test solutions, and optimize the subscription journey.

This role sits within the Product‑Led Growth side of Arlo’s subscription business and emphasizes turning behavioral signals into measurable actions. The role involves partnering with Analytics, Product, Engineering, Marketing, Care, Finance, and other teams to validate

Qualifications

• 4–6+ years of experience in growth product management, product analytics, experimentation, customer insights, lifecycle optimization, or a related role.
• Experience owning or driving A/B tests, product experiments, lifecycle tests, or funnel optimization initiatives.
• Strong experience with product analytics tools (Amplitude, Mixpanel, Heap, Looker, Tableau, Power BI) and funnel/cohort analysis.

Responsibilities

• Own subscription growth experiments end to end across activation, onboarding, conversion, merchandising, paywalls, and checkout.
• Define hypotheses, success metrics, guardrails, launch requirements, and decision criteria with cross‑functional partners.
• Analyze experiment outcomes across cohorts, lifecycle stages, and feature adoption to inform next steps.

Skills

Growth product management

Product analytics

Experimentation

Cross‑functional collaboration

Behavioral data analysis

Hypothesis testing

Tools

Amplitude

Mixpanel

Heap

Looker

Tableau

Power BI

SQL

Job description

About Arlo

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 Do

Customer 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, and early subscriber behavior.

Analyze customer behavior across lifecycle stages, device types, plans, household profiles, feature adoption patterns, and other meaningful cohorts to identify where customers 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, and healthier subscriber cohorts.

Investigate key growth questions around customer needs, conversion gaps, product usage, segmentation, feature adoption, and friction throughout the subscription journey.

Synthesize qualitative signals from app reviews, surveys, cancellation feedback, Care themes, product reviews, and other customer feedback sources, then connect those signals 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 feature adoption patterns.

Determine not only whether an experiment worked, but for whom it worked, why the result may have occurred, what customer behavior changed, and what should 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, learnings, and follow‑up actions.

Subscription Health & Lifecycle Diagnostics

Analyze subscriber behavior to identify signals that help explain conversion quality, early engagement, cancellation behavior, subscriber health, and downstream retention.

Compare customer cohorts to identify behavioral patterns, product gaps, education opportunities, or lifecycle moments that may influence subscription outcomes.

Help identify leading indicators of healthy subscription behavior and connect those learnings back to upstream activation and conversion opportunities.

Support selected retention, cancellation, save, win‑back, or lifecycle experiments where they align with Product‑Led Growth priorities.

Partner with Analytics, Billing, Product, Finance, and other teams to connect customer behavior and product interventions to subscriber and revenue outcomes.

Maintain a primary emphasis on understanding and improving the customer journey leading into and through conversion, while using downstream subscriber behavior to improve Growth decision‑making.

Measurement, Dashboards & Instrumentation Support

Support funnel monitoring across trial activation, conversion, feature adoption, checkout, subscriber health, and experiment performance.

Develop recurring diagnostics that surface meaningful movement, anomalies, risks, and opportunities in subscription performance.

Track instrumentation gaps and partner with Product, Engineering, and Analytics to improve event coverage and measurement reliability.

QA analytics events, experiments, and dashboards to ensure Growth initiatives and major product launches can be measured accurately.

Help answer not only what changed, but why it changed and what we should do about it.

Translate behavioral data into concise insights and recommendations for Growth, Product, Engineering, Care, Marketing, Finance, and leadership stakeholders.

Help improve the reliability and accessibility of Growth measurement so teams can make faster and more informed decisions.

What We’re Looking For

• 4–6+ years of experience in growth product management, product analytics, experimentation, customer insights, lifecycle optimization, or a related role, ideally within a consumer subscription, SaaS, marketplace, fintech, or connected‑device business.
• Experience owning or materially driving A/B tests, product experiments, lifecycle tests, or funnel optimization initiatives.
• Hands‑on experience using product analytics tools such as Amplitude, Mixpanel, Heap, Looker, Tableau, Power BI, or similar platforms.
• Strong experience analyzing funnels, cohorts, activation, conversion, feature adoption, retention, churn, customer journeys, or lifecycle behavior.
• Experience using behavioral data to investigate ambiguous product or growth problems rather than only reporting predefined metrics.
• Ability to translate experiment results, behavioral patterns, and customer signals into product recommendations and follow‑on test plans.
• Candidates coming from product analytics, experimentation, or insights backgrounds should have demonstrated experience defining hypotheses, influencing product decisions, and driving action through cross‑functional teams.
• Strong experimentation judgment, including the ability to define hypotheses, success metrics, guardrails, decision criteria, and follow‑on tests.
• Highly analytical and curious, with the ability to move beyond surface‑level reporting and investigate why customer behavior or business performance is changing.
• Strong understanding of subscription and growth metrics such as conversion, churn, retention, LTV, ARPU, attach rate, activation, trial‑to‑paid conversion, feature adoption, and subscriber health.
• Ability to segment customer behavior meaningfully and identify differences across lifecycle stages, device types, use cases, product experiences, and customer profiles.
• Ability to connect qualitative customer feedback, behavioral data, experiment results, and product experiences to measurable business outcomes.
• Strong product judgment and ability to understand customer problems, growth opportunities, tradeoffs, and the 'so what' behind the data.
• Strong written and verbal communication skills, with the ability to distill complex analysis into clear findings, recommendations, and next actions.
• Detail‑oriented and process‑minded, with strong follow‑through on experiment execution, tracking, dashboard monitoring, instrumentation, and action items.
• Comfortable operating in a fast‑paced environment where systems, data, ownership boundaries, and priorities continue to evolve.
• Comfortable working through ambiguity and turning scattered customer and business signals into structured hypotheses and actionable recommendations.
• Able to independentlyown meaningful areas of work while operating within a broader Subscription Growth strategy and collaborating closely with senior product and businessleaders.
• Bonus Experience in a device + subscription business or another hybrid hardware/software subscription model.
• SQL proficiency or demonstrated ability to self‑serve data for analysis.
• Experience with Amplitude, LaunchDarkly, Databricks, or similar growth and analytics infrastructure.
• Experience working on trial, onboarding, paywalls, checkout, cancellation, win‑back, lifecycle, feature activation, or subscription merchandising initiatives.
• Experience with app store reviews, in-app surveys, NPS, cancellationsurveys, customerfeedbackintercepts, or Voice‑of‑Customer programs.
• Experienceanalysisking? Wait, no. Let’s try yes.
• The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$135,000 -145,000/year .
• However, base pay offered may vary depending on multiple factors, including role, job‑related knowledge, skills, relevant education and experience.

The total compensation package for this position may also include other elements, including bonus, equity, and a full range of benefits.

Details of all benefits will be provided if an employee receives an offer of employment.

We’re committed to inclusivity and selecting the strongest candidate—no matter their background.

Even if you don’t meet every listed qualification, we encourage you to apply.

We’re happy to support growth in areas essential to the role.

Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.

Arlo is proud to be an Equal Opportunity Employer.

We value inclusion and are committed to inclusive, and harassment‑free workplace.

We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.

We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices.

Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.

We are a passionate and diverse group of thought leaders, creators, and developers across all disciplines dedicated to changing how people protect and connect with the people and things they love.

Our talented employees, located throughout the United States, Canada, Asia, Australia, and Europe communicate, connect and work together to lead the industry in delivering a world‑class end‑to‑end connected lifestyle solution.

At every location, passionate and innovative employees work together to shape the future of connectivity.

At Arlo, our employees are recognized as central to our business success, now and into the future.