Sumo Logic

HQ
Redwood
913 Total Employees
Year Founded: 2010

Similar Companies Hiring

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
4 Offices
918 Employees
eCommerce • Fintech • Real Estate • Software • PropTech
10 Offices
1600 Employees
AdTech • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • Software • Generative AI
10 Offices
805 Employees

Sumo Logic Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers employee stock purchase plan

Offers performance bonuses

Provides family medical leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Provides paid holidays

Provides paid sick days

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Office is pet friendly

Provides free snacks and drinks

Career Growth + Development

Job training & conferences

Provides tuition reimbursement

Recently posted jobs

2 Days AgoSaved
Remote
United States
Software
As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.
10 Days AgoSaved
Remote
United States
Software
The Software Engineer II for the Core Platform will work on developing features for the Intelligent Operations Platform, focusing on security and operational data handling. Responsibilities include collaborating with teams to ensure reliability and performance, and employing solutions that enhance cybersecurity readiness.
12 Days AgoSaved
Remote
United States
Software
The Staff Software Engineer - Core Ingest will design and develop distributed data processing systems, ensuring high-volume, low-latency performance while managing petabytes of data. Responsibilities include improving algorithms and architecting solutions across multiple teams, with a strong focus on scalability and reliability.