Yelp

7 open remote positions

Yelp’s Infrastructure group ensures our services run smoothly, cost-effectively, and with the highest bar for reliability.

Salary Distribution (4 of 7 jobs with salary data)

🏖️ PTO Distribution (2 of 7 jobs with PTO data)

3w
Min
3w
25th
4w
Median
4w
75th
5w
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✨ Benefits Overview (7 of 7 jobs list additional benefits)

Bonus (4) Benefits (2) Dental (2) PTO (2) Stock Units (2) Vision (2) 401(k) (1) Caregiver Reimbursement (1) Employee stock purchase plan (1) Flexible hours (1) Flexible spending account (1) Healthcare (1) Holidays (1) Medical (1) Parental leave (1) Pension (1) RSU (1) Remote Reimbursement (1) Remote work reimbursements (1) Stock units (1)
Engineering Director - Compute Platform
1 week ago Canada

Lead teams responsible for Yelp’s compute platform, driving initiatives in compute infrastructure and cloud economics. This director-level role shapes our technical strategy, empowers team members, and partners with stakeholders across engineering and business disciplines. Your work will directly impact the efficiency, reliability, and scale of Yelp’s systems, with broad influence across the company.

$159,954–$228,336
per year
Engineering Director - Compute Platform

As the Director of Compute Platform, you’ll lead teams responsible for Yelp’s compute platform, driving initiatives in compute infrastructure and cloud economics. This director-level role shapes technical strategy, empowers team members, and partners with stakeholders across engineering and business disciplines. Your work will directly impact the efficiency, reliability, and scale of Yelp’s systems, with broad influence across the company.

$210,000–$372,000
per year
Restaurant Sales Client Partner
1 week ago US

As a Restaurant Client Partner, take ownership of your pipeline and your success. You’ll work with restaurants already using one or more Yelp products, helping them maximize value, expand their footprint, and connect more deeply with their communities. This is a full-cycle sales role, and we’re looking for someone who thrives on the thrill of the close, bounces back quickly from setbacks, and thinks creatively to find solutions that drive real impact.

Entry Level Security Engineer - Identity and Access Management
1 week ago Canada

Collaborate with teams across Yelp to work on technical challenges and help design and implement next-generation solutions for access management, authorization, authentication, and compliance. Your work will empower Yelp employees to do their job better, faster, and safer with minimum access. Design and implement secure, robust, highly available, and scalable solutions to manage and optimize the workforce’s identity and access lifecycle.

$62,135–$89,246
per year
Principal Product Manager - Applied ML (Remote - Canada)
1 week ago Canada

Seasoned Principal Product Manager needed to join the Applied Machine Learning Product team to accelerate AI/ML-driven outcomes across the company. You will operate across a range of vertical problem spaces, deeply understand priorities, identify AI/ML opportunities, and drive product initiatives through the life cycle. This role involves direct initiative ownership, influencing product teams, and leading the adoption of ML applications across the company.

$148,798–$178,926
per year
Entry Level - Full Stack Engineer (Remote - Mexico)
1 week ago Mexico

You will build features and applications that make Yelp the best place to find and support Local Business, providing an excellent experience for users by diving into any area of the web stack. Full Stack engineers at Yelp have the flexibility to work on a wide subset of software development and have the opportunity to develop highly performant APIs on the backend, as well as create the visual components our users interact with every day.

Junior Machine Learning Platform Engineer (Remote - Ireland)
1 week ago Europe

As a Junior Machine Learning Platform Engineer in the Core ML organization, you will contribute directly to Yelp’s ML platform. You'll work on the tooling that makes our ML teams faster at building, training, and deploying models, and support data engineers in creating large-scale data applications. This role offers the opportunity to work with other teams on applying MLOps best practices and grow your skills in a broad-scope environment.