Nextdoor

Senior Software Engineer - Backend - Ad Serving

Remote US
USD 97k - 212k
Hadoop Spark Kafka Java Python Machine Learning
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Description

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 300,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

At Nextdoor, the Ads Engineering organization is responsible for building our next-generation Ads platforms focused on serving relevant sponsored content to neighbours worldwide, and building campaign management platforms based on the needs of local advertisers and businesses.

We are in the early phases of building ads serving technology and seeking a technical leader to design systems and develop technology to execute on the roadmap. The team is also responsible for building a suite of automation products in collaboration with machine learning and data science teams.

The Impact You’ll Make

As part of the AdServing team, you will be playing a crucial role in defining, architecting, and building the systems and features that enable a neighbor to receive relevant sponsored content, and for advertisers to get value for their ad spend. You will be building the foundation for Adserving technology for the Nextdoor Ads business.

Your responsibilities will include: 

  • Design, implement and maintain our ads serving infrastructure; including indexing, retrieval, pacing, bidding, auction, and feedback pipelines
  • Enhance the scalability, reliability, cost efficiency, and developer productivity of the platform
  • Lead a small group of engineers to develop various components and features
  • Coach and mentor other developers in the team

What You’ll Bring To The Team 

  • Bachelors and/or Masters in computer science.
  • 5+ years of experience in software development or a related field
  • 2+ years of experience in Ads domain
  • Experience building horizontally scalable, resilient large-scale services
  • Experience leading a small team of developers to build systems
  • Proficiency with the big data processing platform: Hadoop, Spark, Kafka, Flink, etc
  • Proficiency with Java and experience developing in a scripting language like Python
  • Experience in working with cross-functional teams

Bonus Points

  • Experience building ads serving infrastructure
  • Familiarity with Machine Learning

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $153,000 to $212,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

 #LI-Remote

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