[Remote] Senior Staff Software Engineer - Monetization

Note: The job is a remote job and is open to candidates in USA. Nextdoor operates a neighborhood network and generates revenue through advertising and subscription products. The Senior Staff Software Engineer will shape technical strategy and build scalable, reliable systems for its monetization platform, partnering across Product, Machine Learning, Data Science, and Engineering to deliver complex initiatives.

Responsibilities

• Define the technical strategy and architecture for Nextdoor’s monetization platform, leading complex initiatives from concept through measurable outcomes
• Build scalable, reliable, secure, and privacy-preserving systems that support advertising and SMB subscription products
• Partner with Product, ML, Data Science, and Engineering to shape roadmaps, navigate tradeoffs, and deliver value for neighbors and businesses
• Raise engineering standards and address systemic gaps in quality, reliability, observability, release safety, and developer productivity
• Remain hands-on across architecture, critical implementation, design reviews, debugging, launches, and production operations
• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

Skills

• Exceptional system design skills and a proven record of building scalable, reliable, high-performance distributed systems
• Deep experience building advertising platforms, including a strong understanding of large-scale native ad-serving systems
• Expert-level proficiency in at least one of the languages: Java, Kotlin, or Python
• Extensive experience building large-scale, real-time data pipelines using Apache Kafka, Apache Flink, or Kafka Streams
• A strong record of mentoring senior engineers, developing technical leaders, and raising the engineering bar across teams
• Experience using AI-powered development workflows to improve engineering productivity, quality, and delivery speed
• Experience developing or productionizing machine-learning models in partnership with ML engineers and data scientists
• Strong understanding of advertising optimization engines, including pacing, bidding, ranking, and budget allocation

Benefits

• A meaningful equity grant for this role, with quarterly vesting; your first vest date will take place within 3 months of your start date.
• A choice between a variety of health plans, including a 100% covered employee-only plan option.
• A OneMedical membership for concierge care.
• A hybrid employment model blending in-office presence and work from home for employees in roles near the San Francisco, Los Angeles, Chicago, Dallas, New York, and London offices; expectations will be discussed by the hiring team.

Company Overview

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