Growth Product Manager, Insights & Experimentation

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.

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 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 independently own meaningful areas of work while operating within a

broader Subscription Growth strategy and collaborating closely with senior product
and business leaders.

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, cancellation surveys,

customer feedback intercepts, or Voice-of-Customer programs.

• Experience analyzing customer populations where product needs and behaviors

differ significantly across use cases, device types, or customer segments.

• Background in growth, monetization, subscription lifecycle optimization, customer

insights, product-led growth, or experimentation programs.

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.