Arize AI

HQ
Berkeley
78 Total Employees

Arize AI Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Company Culture

Provides commuter benefits

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Recently posted jobs

YesterdaySaved
Remote
United States
Artificial Intelligence • Machine Learning
Own the Evals & Annotations product area, including evaluation creation, execution, human review, annotation workflows, and analysis. Set product strategy and roadmap, prototype developer experiences, collaborate with Design and Engineering, engage technical customers, and drive products from problem definition through launch and iteration. The role requires strong understanding of LLM evaluations, AI development workflows, backend systems, UX, and hands-on technical problem-solving.
8 Days AgoSaved
Remote
USA
Artificial Intelligence • Machine Learning
Drive enterprise SaaS sales across EMEA by prospecting AI and machine learning stakeholders, conducting discovery, presenting Arize’s platform, managing proof-of-concept engagements, navigating complex sales cycles, closing new business, driving adoption, and expanding customer accounts. The role requires full-cycle enterprise sales expertise, strong communication, independent execution, account research, and relationship-building within the AI/ML community.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning
Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.