Nextdoor

HQ
San Francisco
Total Offices: 2
780 Total Employees
Year Founded: 2011

Jobs at Nextdoor

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

YesterdaySaved
In-Office
New York, NY, USA
Information Technology • Other • Social Media
Acquire, onboard, retain, and grow SMB advertisers on Nextdoor through consultative selling and customer success. Drive new customer acquisition, accelerate activation, provide campaign guidance and platform education, leverage performance insights and AI tools to identify growth, and execute scalable playbooks while meeting revenue and activity goals.
9 Months AgoSaved
In-Office
New York, NY, USA
Information Technology • Other • Social Media
The Enterprise GTM Architect will design and implement CRM and MarTech systems, ensuring scalability and compliance, while leading a team and collaborating with various departments.
Information Technology • Other • Social Media
The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.
12 Days AgoSaved
Remote
US
Information Technology • Other • Social Media
Lead Nextdoor's global Community team to embed community perspective in product decisions, run experiments and translate findings, manage AI-powered community systems, scale the Neighborhood Leads program, partner on Trust & Safety initiatives, and develop a distributed team.
14 Days AgoSaved
Remote
US
Information Technology • Other • Social Media
As a Senior Data Scientist, you'll optimize search relevance, retrieve content, analyze data, and collaborate with teams to enhance product strategies.
22 Days AgoSaved
Remote
US
Information Technology • Other • Social Media
The Senior Software Engineer will develop backend systems, mentor engineers, and collaborate with cross-functional teams while contributing to product features and roadmaps.
Information Technology • Other • Social Media
Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.