Top Tech Jobs & Startup Jobs

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.

Develop and maintain WebRTC media systems across browsers, native clients, and media servers. Improve SDP negotiation, peer connections, ICE/STUN/TURN, codecs, simulcast, adaptive bitrate, and congestion control. Diagnose video quality issues, browser regressions, memory leaks, and production incidents. Optimize the full capture-to-render pipeline, support enterprise SDK customers, analyze QoS data, deploy hotfixes, document best practices, and contribute to Chromium and WebRTC open-source projects.

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.

Deploy production AI agents for strategic customers, integrating CRM, telephony, and knowledge systems. Engineer voice experiences, build evaluation frameworks, test agent performance, and translate deployment insights into reusable platform capabilities. Partner with Sales, Product, Engineering, Professional Services, and customers to validate technical value, convert pilots into production systems, and provide documentation for ongoing operations.

Lead and develop a team of Technical Account Managers supporting strategic enterprise customers. Set performance goals, manage KPIs, analyze team data, oversee recruiting and improvement plans, and serve as an executive escalation point. Partner with Customer Success, Sales, and Service Engineering to resolve complex issues, strengthen relationships, and drive customer retention, expansion, and satisfaction across Zoom’s Premier Support portfolio.

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.

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.