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Arlo Technologies

Revenue and Operations Senior Manager

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in US
150K-180K Annually
Senior level
Remote
Hiring Remotely in US
150K-180K Annually
Senior level
The Sr. Manager of Revenue & Operations oversees subscription billing, improves operational workflows, manages revenue forecasting, and collaborates cross-functionally to enhance customer experiences and business growth.
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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.

Arlo is redefining what it means to protect what matters most — through intelligent devices and connected subscription services. As we scale our subscription business globally, we’re looking for a Sr. Manager of Revenue & Operations to lead the systems, processes, and insights that power our recurring revenue engine.
In this role, you’ll be responsible for ensuring accuracy, efficiency, and scalability across billing, payments, subscription operations, and revenue forecasting. You’ll serve as the connective tissue between Finance, Product, Customer Experience, and Engineering, ensuring the operational foundations are strong as Arlo accelerates growth across both device and subscription businesses.
From payment success and billing integrity to dunning workflows and financial reporting you’ll play a key role in improving conversion, retention, and overall LTV.

What You’ll Do

Revenue Operations

  • Manage the day-to-day health of our subscription billing ecosystem (Stripe + internal systems).
  • Oversee processes for payments, refunds, credits, service suspension, and reactivation.
  • Monitor and reduce revenue leakage from failed payments and system discrepancies.
  • Partner with Product and Engineering to operationalize new plans, pricing, and regional rollouts.
  • Drive cross functional initiatives aimed at reducing customer churn.

Reporting & Forecasting

  • Maintain dashboards and recurring reports for ARR, churn, payment success, and billing accuracy.
  • Partner with Finance, Data, and Engineering teams on subscription forecasting and variance analysis.
  • Identify insights to improve attach, retention, and cash collection.

Process & Systems

  • Continuously improve subscription operational workflows — including care refunds, credit issuance, and proration handling.
  • Ensure tight integration and data accuracy between Stripe, Databricks, and internal reporting tools.
  • Support quarterly audits and ensure compliance with PCI, SOC, and regional tax (VAT, 3DS, etc.) requirements.

Cross-Functional Collaboration

  • Work closely with CX and Care to improve customer billing experiences.
  • Partner with the Marketing team to optimize billing communications.
  • Collaborate with the Product team on billing and subscription enhancements.
  • Partner with Finance on month-end close and revenue recognition accuracy.

What We’re Looking For

Experience

  • 5–8 years of experience in Revenue Operations, Subscription Billing, or Business Operations, ideally in SaaS, fintech, or consumer subscription businesses.
  • Hands-on experience with Stripe or equivalent billing platforms (Zuora, Recurly, Chargebee).
  • Comfort working with data — extracting, cleaning, and summarizing insights.
  • Familiarity with Databricks and BI tools (e.g., Looker, Tableau, Power BI).

Skills

  • Strong understanding of subscription metrics (ARR, churn, ARPU, LTV) and revenue workflows.
  • Analytical, detail-oriented, and process-driven.
  • Excellent communicator with the ability to work cross-functionally and explain complex topics clearly.
  • Comfortable working in a fast-paced, high-growth environment with evolving systems.

Bonus

  • Experience in a device + subscription business or other hybrid model.
  • Understanding of payments compliance, invoicing, or tax requirements (PCI, VAT, 3DS).
  • Hands-on Shopify experience to help integrate and improve e-commerce and revenue operations.
  • SQL proficiency or ability to self-serve data for analysis.

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$150,000-180,000/year.  However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.  

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.

Top Skills

Databricks
Looker
Power BI
Shopify
SQL
Stripe
Tableau

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