Jobs at Zoom

Conduct applied large language model research for Zoommate and meeting intelligence features. Design training, data, evaluation, and benchmarking pipelines; apply post-training methods such as RLHF, RLVR, reward modeling, and preference learning; and develop agentic AI systems with tool usage, function calling, and multimodal capabilities. Collaborate with scientists, engineers, and product managers to translate research into production-ready solutions.

Own Zoom Chat’s enterprise admin, compliance, external collaboration, permissions, and trust-model roadmap. Translate regulatory requirements into product features, build analytics and dashboards, and deliver consistent experiences across desktop, mobile, and web. Partner with Engineering, Design, Data Science, Security, Legal, and go-to-market teams to prioritize, launch, and iterate enterprise capabilities for regulated customers.

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.

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.

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.

Build and deploy end-to-end production ML models to predict customer expansion and churn. Design automated retraining, monitoring, and incident response pipelines. Partner with engineering, product, and GTM teams on telemetry and data contracts. Run experiments, deliver analyses, and communicate findings to senior leadership to inform revenue strategy.

Lead the Platforms DevOps team managing Kubernetes clusters and cloudops infrastructure. Drive automation, cost optimization, security improvements, cross-team collaboration, and team development while overseeing CI/CD, incident response, and production reliability.

Own organic product-led growth for Zoom AI productivity products. Responsibilities include developing product messaging, creating and publishing demos, tutorials, social content, emails, and web copy, optimizing SEO/AEO and signup funnels, running conversion experiments, distributing platform-native content, measuring acquisition and adoption, and partnering with product, design, engineering, and marketing teams.

Own accounting for capitalized software and cloud computing arrangements, including capitalization tracking, reconciliations, journal entries, and ASC 350-40 compliance. Prepare variance analyses, reporting packages, and balance sheet reconciliations while supporting close cycles, audits, SOX controls, and financial reporting. Partner with Engineering, FP&A, IT, and Finance to improve accounting processes, data quality, ERP functionality, and AI-driven automation.

Own Zoom's Financial Services customer experience industry strategy and go-to-market execution. Develop industry narratives, customer journey frameworks, AI and CX use cases, competitive positioning, ROI messaging, executive workshops, and sales enablement. Partner with Sales, Product, Marketing, Solutions Engineering, Customer Success, and technology alliances to support strategic engagements, identify market-driven product needs, and create repeatable vertical operating models adaptable to Healthcare and other industries.

Leads Zoom’s global People Experience Operations infrastructure, including a ServiceNow HRSD rebuild, Workday integrations, tiered service architecture, AI automation, process harmonization, governance, reporting, and executive dashboards. Owns metrics such as SLA attainment, deflection, first-contact resolution, CSAT, and ROI. Partners with Payroll, Legal, IT, Engineering, and People CoEs while coaching global operations teams and serving as deputy to the Global Head of PX Operations.

Leads Zoom’s technical SEO and AEO roadmap across CMS platforms, web applications, APIs, and frontend frameworks. Owns crawlability, indexability, rendering, structured data, performance, sitemaps, redirects, and internal linking. Builds reusable SEO services, automation, monitoring, dashboards, and CI/CD quality gates. Establishes technical standards and partners with SEO, Engineering, Product, Marketing, and Content teams to improve organic visibility, acquisition, pipeline, and revenue across search engines and AI discovery platforms.

Own complex, high-priority technical escalations from intake through resolution. Diagnose Zoom customer issues using logs, packet captures, SIP traces, and other tools; collaborate with engineering on fixes and workarounds; lead critical incident meetings; communicate with technical and executive stakeholders; document resolutions; provide customer feedback; and mentor Tier 2 support teams.

Develops software solutions at Zoom, collaborating in a fast-paced, customer-focused environment to support communication and collaboration products. The provided description does not include specific responsibilities, qualifications, technologies, salary figures, or travel requirements.

Drives new business, upsell, and expansion revenue for Zoom Workplace across an East or Central U.S. territory. Manages complex sales cycles, executive relationships, demonstrations, proposals, QBRs, forecasting, and channel-partner collaboration. The role requires consultative SaaS selling to organizations with 1,000 or more employees and the ability to align communication solutions with senior business priorities.

Own Zoom’s end-to-end search strategy across traditional SEO and AI-powered answer engines. Lead technical SEO, develop AI visibility infrastructure, establish share-of-answer metrics, and partner with marketing, content, web, and product teams on unified search standards. Translate organic and AI visibility performance into pipeline and revenue impact, while reporting strategic results to executives and the board.

Generate outbound pipeline through email, phone, and LinkedIn prospecting; research accounts, develop tailored messaging, test outreach strategies, manage leads, analyze performance metrics, and coordinate qualified handoffs with Commercial Account Executives. The role requires effective objection handling, strong prioritization, proficiency with sales engagement and CRM tools, and ownership of continuous improvement in a high-volume environment.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Sell Zoom's Workplace Platform to midmarket customers by prospecting, managing inbound leads, upselling existing accounts, delivering demos and proposals, conducting QBRs, engaging C-level executives, qualifying needs, and coordinating technical resources to close deals.