Dialpad

HQ
San Francisco, California, USA
Total Offices: 5
841 Total Employees
Year Founded: 2011

Similar Companies Hiring

Security • Sales • Information Technology • Cybersecurity • Automation
6 Offices
357 Employees
Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees

Benefits at Dialpad

Financial + Retirement

401(K)

Employee stock purchase plan

Office Perks

Commuter benefits

Company-sponsored outings

Fitness stipend

Free snacks and drinks

Health Insurance + Wellness

Dental insurance

Disability insurance

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 holidays

Paid sick days

Culture

Remote work program

Search the 35 jobs at Dialpad

Recently posted jobs

13 Hours Ago
London, Greater London, England, GBR
Information Technology
As a Senior Product Designer at Dialpad, you will work closely with product and engineering teams to define strategies, roadmaps, and product goals. Your role involves designing intuitive experiences, mentoring fellow designers, and communicating design decisions across teams, all while driving innovative product features to enhance customer interactions.
20 Hours Ago
Vancouver, BC, CAN
Information Technology
The Senior Knowledge and Content Partner will lead the creation and management of content for Dialpad's Help Center and Self-Service platform. Responsibilities include collaborating with cross-functional teams, optimizing content strategy, and utilizing AI to enhance customer support experiences. The role also involves mentoring junior team members.
Information Technology
As a Senior Software Engineer in Distributed Systems at Dialpad, you will develop and maintain a real-time ML inference system within a large-scale distributed architecture. You will work closely with Data Science and Engineering teams, leveraging technologies like Python, Kubernetes, and Google Cloud to enhance AI functionalities and ensure system reliability and scalability.