Backend Engineer - Ads Billing (Revenue Lifecycle)

The Ads Billing (Revenue Lifecycle) team plays a pivotal role in managing bills for advertisers and ensuring the accuracy of internal and external revenue reporting. The primary responsibilities of this team encompass maintaining data pipelines crucial for billing operations and ledger management, introducing new features, and providing support and on-call for the team’s designated domains.

The team is a part of Advertiser Platform org and represents the connection in the ad serving stack to the upstream data sources of the event pipelines. We ingest ad events to determine billability and then accrue spending into ledgers. We use this data in our automated payments platform and pass data to the downstream systems for billing and reporting. This data is also used for revenue recognition which is critical for a public company. We own the payment experience for advertisers and work with internal teams to support that experience. 

We are looking for a skilled backend software engineer to join our team. You will directly impact the billing and payment experience for Reddit advertisers and enhance internal and external revenue reporting processes. As a key contributor to our team, you’ll have the opportunity to work on a range of exciting projects such as.

• Build customizable spend control for advertisers 
• Building or re-architecting components of an in-house system for invoice generation 
• Expanding the range of supported payment methods at Reddit 

Responsibilities: 

• Develop, maintain, and scale revenue data ingestion pipeline using cutting-edge technologies
• Contribute to the development of dashboards to expedite revenue reporting and unleash sales productivity.
• Produce robust and sustainable code and demonstrate proficiency in debugging systems beyond your immediate responsibilities.
• Uphold high-quality standards within the team.
• Contribute innovative ideas and directly impact the team’s roadmap while collaborating closely with cross-functional stakeholders.

Technologies used on the team include:

• Languages: Python, Scala, Go
• Frameworks: Thrift, Baseplate, Kafka, GraphQL
• Datastores: Postgres, Druid, Redis, BigQuery
• Tools: Kubernetes, Airflow

What We’re Looking For:

• A Bachelor’s degree or higher in a quantitative or computer science-related field (e.g., mathematics, statistics, economics, finance, computer science)
• Full-time backend software engineering experience in a highly scalable computing environment
• Experience in backend development, with a passion for learning and adapting to new technologies that you lacked prior experience with
• Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders independently

Nice to Have:

• Prior experience in the ads  or billing space, with a deep understanding of the challenges and opportunities in these areas
• Experience with agile development methodologies and version control systems like Git

If you’re a talented software engineer looking for a new challenge, and you’re passionate about building scalable, reliable solutions that prioritize user’s payment experience, we encourage you to apply for this exciting opportunity!

What We Offer:

• A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
• Opportunities for professional growth and development, with a focus on continuous learning and skill-building
• A competitive salary and benefits package, with a focus on work-life balance and employee well-being
• Flexible work arrangements, including remote work options, to support your individual needs and preferences
• The chance to work on high-impact projects that drive real results for our users and advertisers

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

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