Senior Staff Engineer, Monetization & Ads Platform

Nextdoor; United States; Hybrid; USD 281,000 - 374,000; Full time

Benefits offered by this job

Equity grant

Health plans (multi-plan)

OneMedical membership

Hybrid work model

Job summary

Nextdoor is seeking a Senior Staff Software Engineer to shape technical strategy and build scalable systems across Nextdoor’s monetization platform and subscription products. You will lead complex initiatives and work with cross-functional teams to drive measurable business impact.

You will partner with Product, ML, Data Science, and Engineering to align stakeholders, raise engineering standards, and deliver value for neighbors and businesses in a hybrid work environment across multiple offices.

Qualifications

• Exceptional system design skills and a proven record of building scalable distributed systems.
• Experience building advertising platforms and native ad-serving systems.
• Proficiency in Java, Kotlin, or Python.
• Experience with real-time data pipelines using Kafka, Flink, or Kafka Streams.

Responsibilities

• Define technical strategy for monetization platform and lead initiatives end-to-end.
• Build scalable, reliable, privacy-preserving systems for ads and SMB subscriptions.
• Partner with Product, ML, Data Science, and Engineering to shape roadmaps.
• Raise engineering standards across quality, reliability, observability, and delivery.
• Remain hands-on in architecture, reviews, debugging, and production operations.
• Collaborate across offices and participate in team events.

Skills

System design

Distributed systems

Mentoring engineers

AI-assisted workflows

In-person collaboration

Tools

Apache Kafka

Apache Flink

Kafka Streams

Job description

Nextdoor is seeking a Senior Staff Software Engineer to shape technical strategy and build scalable systems across Nextdoor’s monetization platform and subscription products. You will lead complex initiatives and work with cross-functional teams to drive measurable business impact.

You will partner with Product, ML, Data Science, and Engineering to align stakeholders, raise engineering standards, and deliver value for neighbors and businesses in a hybrid work environment across multiple offices.