Veröffentlicht 15 Feb 2022, 8:10 pm

Backend Engineer Ads Planning & Opportunity bei Reddit

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Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. Reddit is the home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.

We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! 

We are a new team in Reddit ads. The team’s mission is to build data intelligence solutions for ads planning, optimization and automation. You are expected to work with backend engineers, full stack engineers, product managers and sales team to build end to end product solutions for advertisers and sales teams. You will also collaborate with data scientists to analyze and utilize the power of big data from the Reddit platform. Some examples projects you would be working on include:

  • Design, build and improve smart data intelligence services such as traffic and inventory forecasting.
  • Design, build and improve campaign optimization services such as campaign recommendations and opportunities.
  • Develop scalable data processing pipelines and data analytics services for advertiser facing products.
  • Build insight tools to better understand campaign performance.

As an early member of this mission driven team, you will have lots of ownership and impact to shape our ads business to support overall Reddit's mission. Not only will your work directly impact hundreds of millions of users around the world, but your output will also shape the future of Ads on the Reddit platform! Technologies you might work with include:

  • Languages: Python, Java, Scala, SQL
  • Frameworks: Spark, Thrift, Kafka, Tensorflow
  • Datastores: Postgres, Druid, BigQuery, Redis
  • Tools: Kubernetes, Airflow, Argo, Docker

If you appreciate real technical challenges and you'd like to be part of the team that transforms Reddit Ads into a world class platform and a highly effective marketplace, come join us!

Note: we are open to candidates based and authorized to work anywhere in the United States or Canada

 Responsibilities:

  • Work with product managers to research, design, implement, test and deploy ads products.
  • Collaborate closely with the platform and data teams while building new features or new models
  • Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
  • Build extendable components that would align with the product objectives. 
  • Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.  

Qualifications:

  • 3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Python, C++, Go).
  • Relevant experience in data processing or data engineering.
  • Good understanding of large scale backend service design.
  • Able to take complete ownership of a feature or project.
  • An interest in the advertising business and understanding customer needs is a plus.

Strong plus:

  • Ads or ML experience
  • Experience in building business intelligence and tools.
  • Data analysis background or skills.
  • Proven ML experience working with cross functional teams (product, data science, etc)
  • MSc or PhD in computer science or related field

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Source: Remote Ok

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