Zoom

HQ
San Jose
Total Offices: 10
11,053 Total Employees
Year Founded: 2013

Zoom Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Provides a pension

Offers accidental death & dismemberment insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Provides fertility benefits

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Offers a remote work program

Provides free snacks and drinks

Offers legal assistance

Provides a mobile phone discount

Offers diversity-based Employee Resource Groups

Recently posted jobs

22 Hours AgoSaved
In-Office
Seattle, WA, USA
Artificial Intelligence • Information Technology • Software
Own the strategy, roadmap, and end-to-end product experience for Zoom’s Sales Engagement platform. Lead AI sequencing, multichannel outreach, engagement automation, buyer-signal workflows, and sales integrations. Partner with Engineering, Design, Sales, and Marketing to drive adoption, pipeline generation, retention, and revenue growth. The role requires deep knowledge of B2B SaaS, sales engagement, CRM, outbound prospecting, and AI-enabled automation.
YesterdaySaved
In-Office
Seattle, WA, USA
Artificial Intelligence • Information Technology • Software
Lead a globally distributed team of data, ML, and visualization engineers supporting Zoom’s billing, checkout, growth, and revenue analytics. Own data platform roadmaps, scalable pipelines, architecture, governance, access controls, reliability, and tooling decisions across Snowflake and Databricks. Partner with Finance, Product, and Data Science, while managing hiring, performance, mentorship, prioritization, and capacity planning.
YesterdaySaved
In-Office
Seattle, WA, USA
Artificial Intelligence • Information Technology • Software
Designs, implements, and owns production-scale inference systems for large transformer and multimodal models. Responsibilities include optimizing CUDA kernels, inference frameworks, batching, caching, quantization, and serving infrastructure; deploying models; monitoring latency SLOs; responding to incidents; and partnering with research teams. The role also drives technical design and establishes inference engineering standards across the AI Infrastructure team.