Jobs at Zoom

Build, maintain, and improve highly available ZoomAI and ML service infrastructure. Own CI/CD, deployment pipelines, zero-downtime designs, monitoring automation, incident investigation, and reliability improvements across cloud and containerized environments.

Design, automate, and operate secure multi-cloud infrastructure and identity systems. Build IaC and automation (Terraform, Ansible), manage IAM/Okta integrations, run Kubernetes (EKS), implement observability (Prometheus/Loki/Grafana), adopt GitOps (ArgoCD), and lead incident response, blameless post-mortems, and SLO definition to ensure reliable services.

Design and deliver customer-facing features, define architecture and cloud-based automation, create technical and API documentation, troubleshoot and optimize performance, review code and designs, mentor engineers, and translate business requirements into technical solutions.

Design and implement a scalable AI Services Platform: context intelligence, agent orchestration, RAG pipelines, distributed multi-region orchestration, observability and safety systems, and evaluation frameworks. Collaborate with product and infra teams to define APIs and integrations, and keep platform capabilities current with LLM and vector DB advances.

Lead design and delivery of production-grade data pipelines, models, and data products for Go-To-Market and revenue analytics. Build scalable ETL/streaming architectures, semantic layers, and schema governance; embed LLM-assisted workflows and AI coding tools; apply software engineering best practices for CI/CD, testing, observability, and mentoring.

Contribute to AI research in LLM post-training and reinforcement learning, developing scalable systems for Zoom's AI Companion. Engage in innovative research, implement model architectures, and partner with teams to translate prototypes into production systems.

Design, implement, and maintain automation frameworks and monitoring solutions for distributed systems. Analyze performance, lead incident response and root cause analysis, develop runbooks and SLOs, mentor team members, and drive reliability and efficiency improvements across production environments.

On-site IT support role providing hardware, software, networking, and SaaS troubleshooting across ticket, phone, and email. Manage new-hire onboarding, device lifecycle (imaging, inventory, deployment, decommissioning), user provisioning and access, endpoint management (patching, software deployment, vulnerability remediation), and documentation. Coordinate with Asset Management, Procurement, and Workplace teams and maintain SLA/CSAT targets.

Lead global network and data center operations supporting 10,000+ employees and AI/ML training. Manage a 13-person, follow-the-sun team to design, automate, and optimize cloud (AWS/GCP) connectivity, BGP/OSPF routing, Zero Trust architecture, high-performance GPU cluster networking, storage networking, capacity planning, and data center migrations while collaborating with security teams and architects.

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.

Drive full SaaS sales cycle to close new enterprise and mid-market clients in HR tech. Build pipeline via Sales Navigator, Apollo, and AI; conduct deep discovery, demos, and MEDDPICC-based qualification; manage procurement, legal, and security reviews; forecast sales, multithread accounts, and hand off to customer success.

Design, implement, and evaluate machine learning and deep learning algorithms—especially ASR for live captioning—using C++ and Python. Build and optimize Conformer, RNN-T, Transformer encoder, and beam-search based systems, perform distributed GPU training, testing, debugging, and documentation. Work with large-scale computing frameworks and adapt ML technologies to VR/AR, robotics, and interactive products. Resolve complex problems, define methods for new assignments, and may coordinate other personnel.

Develop and optimize video processing applications and algorithms for desktop and mobile. Research and evaluate video processing and neural-rendering methods, implement modular, high-performance code, integrate and deploy deep learning models across Mac, Windows, iOS and Android, and build test environments and tools for runtime verification.

Design and develop Zoom Contact Center features using Java and Spring Boot. Build secure, scalable microservices and RESTful APIs on AWS (EC2, ECS, ElastiCache, S3) with NoSQL. Translate roadmap into specifications, implement integrations, and drive cloud-based test automation and deployment strategies to ensure performance and stability.

Implement SMS chat for Zoom Contact Center, design architecture, troubleshoot production issues and enhance features, focusing on technical feedback.

Lead revenue planning, forecasting, and pipeline analytics for Zoom's go-to-market. Design territory, capacity, quota, and compensation frameworks. Drive CRM governance, sales process improvements, and customer success operations (renewals, churn, adoption). Partner cross-functionally to operationalize pipeline generation, compensation, and AI-driven productivity improvements while delivering executive-level insights and visibility into performance and risk.

Lead data science research and develop scalable ML models, audience segmentation, propensity and recommender systems for marketing and eCommerce. Cleanse and integrate large disparate datasets, apply causal inference and A/B testing, define KPIs, ensure data governance and privacy, and communicate insights to product, sales, and marketing stakeholders to drive revenue and product improvements.

Design, implement, and optimize AI algorithms and software for computer vision, NLP, recommendation systems and ASR. Develop, test, and maintain models and production-quality code, participate in code reviews and CI/CD workflows, and document algorithms and technical processes.

Lead a global IT infrastructure and employee services organization (~70 people) to design, operate, and secure corporate IT and engineering labs. Drive Infrastructure-as-Code, AI/GenAI automation, SRE practices, IAM, endpoint and unified communications, vendor coordination, and cross-functional governance to improve reliability, productivity, and product feedback.

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.