Jobs at Zoom

Senior-level engineer responsible for designing agentic AI systems: defining architecture, prototyping solutions, collaborating with cross-functional teams, and guiding implementation from design to production.

Lead identification, evaluation, execution, and integration of acquisitions and strategic investments in enterprise SaaS and AI. Manage end-to-end M&A processes including due diligence, deal structuring, negotiation, financial modeling (DCF, accretion/dilution, comparables), and post-acquisition integration to align product roadmaps and go-to-market motions. Create investment theses, decision memos, and drive executive alignment.

Develop and optimize AI runtimes for large language models and other AI services, focusing on performance, cost efficiency, and scalability.

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.

As a Lead Design Engineer, you'll create AI-driven experiences, owning projects from concept to production with a focus on quality and innovation while collaborating with designers and engineers.

Design, implement, and deploy LLM-powered autonomous agent architectures. Build prompt engineering frameworks, safety and oversight mechanisms, testing frameworks, and services using GPT-4, Claude, and internal models. Collaborate on cloud-based ML infrastructure and productionization.

The AI Engineer will design scalable APIs and SDKs for AI services, collaborate with AI research teams, and ensure API security and performance. Responsibilities include building processing systems, integrating services, and maintaining documentation.

The Software Engineer will design and implement customer-facing software, focusing on security and cloud solutions, while collaborating with cross-functional teams.

The role involves collaborating with Sales, providing technical expertise in AI and Agentic Search, and leading technical support in pre-sales.

The AI Infrastructure Engineer will develop and optimize infrastructure for training large language models, focusing on distributed systems and GPU programming.

Lead development of Zoom chat and meeting frontend modules using React/Vue and Zoom SDK, implement hybrid WebView bridges, handle streaming via WebSocket/Zoom realtime APIs, ensure WCAG 2.1 accessibility, build CI/CD pipelines, optimize performance under concurrency, and coordinate a distributed multilingual engineering team.

Design and build scalable, permission-aware retrieval and reasoning systems for Zoom's AI Companion: vector and hybrid search, RAG pipelines for agentic reasoning, ranking and evaluation frameworks, indexing and NLP/entity extraction pipelines, and collaborate with product, infrastructure, and research to ship production-grade LLM-based features.

Design and optimize GenAI solutions, collaborate with teams, enhance system performance, present technical findings, and stay updated on GenAI advancements.

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.

Lead the ecommerce product roadmap to drive user acquisition, activation, monetization, and revenue growth. Prioritize features using market, customer, and data insights; run A/B tests; maintain metrics dashboards; collaborate with Engineering, Design, Marketing, and Sales to launch and iterate on product experiences.

Design and produce motion-led storytelling from concept through delivery: storyboarding, 2D/3D animation, and motion UI. Collaborate with designers, editors, and copywriters, manage multiple projects, apply Zooms motion systems, and champion brand motion across marketing deliverables.

Lead partner-led implementations and retention for Zoom CX by establishing technical standards, enabling partners, monitoring deployment health, and identifying expansion opportunities. Serve as the technical liaison across Product, Engineering, and Partner teams to mitigate churn, support day-2 operations, and translate new product capabilities into partner-driven customer value.

Sell employee engagement and listening SaaS to mid-market customers. Own full sales cycle, build relationships with HR leaders, execute territory plans, collaborate cross-functionally, manage complex multi-stakeholder deals, and meet quarterly and annual revenue targets.

As a Mass Market Solutions Engineer, you'll design communication solutions, conduct demonstrations, translate customer needs into technical solutions, and drive product innovation while collaborating across teams at Zoom.

Lead Zoom's Customer Success transformation by converting strategy into operational capability. Redesign measurement, engagement frameworks, and operating model to drive retention, adoption, and revenue growth. Run executive reviews, align cross-functional stakeholders, and implement processes, tools, and metrics to change frontline behavior and demonstrate measurable business impact.