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.

About The Role

Arlo is looking for a Growth Product Manager, Insights & Experimentation to help us better understand customer behavior, identify growth opportunities, and improve the subscription journey.

This role sits within Product-Led Growth and will focus on turning behavioral data, customer signals, and experiment results into actions that improve activation, trial-to-paid conversion, customer experience, and subscription revenue.

This is not a traditional feature PM role. We’re looking for a data-forward consumer product thinker who is naturally curious about why users behave the way they do, comfortable digging into funnels and cohorts, and able to turn insights into experiments and product decisions.

This is a 1 year fixed-term role

What You’ll Do

Customer Journey & Growth Insights

• Analyze consumer behavior across onboarding, trial, activation, conversion, device types, plans, feature adoption, and key customer segments.

• Identify where customers realize value, where they stall or disengage, and what differentiates higher-converting cohorts.

• Connect behavioral data with reviews, surveys, cancellation feedback, Care themes, and other customer signals.

• Turn ambiguous customer and funnel questions into clear insights, hypotheses, segmentation opportunities, and product recommendations.

Experimentation & Growth Optimization

• Own selected Growth experiments and optimization initiatives end to end across onboarding, activation, paywalls, merchandising, checkout, feature adoption, and other subscription experiences.

• Deﬁne hypotheses, success metrics, guardrails, launch requirements, and decision criteria with cross-functional partners.

• Analyze results beyond the topline to understand who responded, why, and what should happen next.

• Independently own selected Growth surfaces or problem areas and turn learnings into follow-on tests, iterations, and roadmap recommendations.

Measurement & Growth Diagnostics

• Monitor key funnel and subscription metrics and surface meaningful trends, anomalies, risks, and opportunities.

• Identify instrumentation and measurement gaps and partner with Analytics and Engineering to improve event coverage and reliability.

• Use downstream subscriber behavior where relevant to improve upstream activation and conversion decisions.

• Translate behavioral and experiment data into concise recommendations for Product, Engineering, Marketing, Care, Finance, and leadership.

What We’re Looking For

• 4+ years of experience in consumer growth product management, product analytics, experimentation, monetization, lifecycle optimization, or a closely related area.

• Strong experience analyzing consumer funnels, cohorts, activation, conversion, feature adoption, retention, or lifecycle behavior.

• Hands-on experience with A/B testing and experimentation, including turning results into product decisions and follow-on actions.

• Strong self-service analytical capability using tools such as SQL, Amplitude, Mixpanel, Looker, Tableau, Power BI, or similar.

• Demonstrated ability to investigate ambiguous customer behavior and explain not just what happened, but why.

• Experience turning behavioral data, customer feedback, and experiment results into hypotheses, product recommendations, and growth opportunities.

• Strong product judgment and ability to independently own meaningful optimization initiatives.

• Strong written and cross-functional communication skills, with the ability to distill complex analysis into clear recommendations.

Bonus

• Experience in a consumer hardware + software + subscription business, such as connected devices, smart home, wearables, or other products where physical products and digital services work together.

• Experience with trial, onboarding, paywalls, checkout, cancellation, lifecycle, personalization, or subscription merchandising.

• Experience with Voice-of-Customer programs, in-app surveys, app reviews, or cancellation feedback.

• Experience with Amplitude Experimentation, LaunchDarkly, Databricks, or similar growth and analytics platforms.

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.