Bazaarvoice

HQ
Austin, Texas, USA
Total Offices: 4
1,422 Total Employees
Year Founded: 2005

Similar Companies Hiring

Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
Software • Infrastructure as a Service (IaaS) • Cloud • Artificial Intelligence
2 Offices
53 Employees
Software • News + Entertainment • Marketing Tech • Generative AI • Enterprise Web • Digital Media • Consumer Web
2 Offices
14 Employees

Benefits at Bazaarvoice

Financial + Retirement

401(K)

Employee stock purchase plan

Charitable contribution matching

Performance bonus

Office Perks

Company-sponsored outings

Free snacks and drinks

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Mental health benefits

Child Care + Parental Leave

Family medical leave

Professional Development

Job training & conferences

Vacation + Time Off

Paid volunteer time

Paid holidays

Paid sick days

Sabbatical

Culture

Remote work program

Search the 28 jobs at Bazaarvoice

Recently posted jobs

2 Hours Ago
Bengaluru, Karnataka, IND
Hybrid
Software
As a Staff Software Engineer, you will lead software initiatives from conception to delivery, mentor junior engineers, and enhance product matching algorithms. You will design and deliver solutions to innovate on Bazaarvoice's network, directly impacting the connectivity of consumer-generated content with brands and retailers.
2 Hours Ago
Bengaluru, Karnataka, IND
Hybrid
Software
As a Staff Software Engineer at Bazaarvoice, you will develop scalable services and APIs, build frontend components in Angular and React, participate in code reviews, and lead technical design for new applications. You will also troubleshoot and improve application performance, focusing on large-scale database access patterns and participating in an on-call rotation.
2 Hours Ago
Bengaluru, Karnataka, IND
Hybrid
Software
The Senior Machine Learning Engineer at Bazaarvoice will develop and implement AI/ML solutions using natural language processing and statistical techniques, automate processes, mentor junior staff, and collaborate with product engineers to deliver data-driven insights, enhancing customer experiences.