Jobs at Zuora

Leads Zuora’s AI platform strategy, architecture, and development. Builds secure, scalable shared capabilities for AI-powered products, agentic workflows, model orchestration, retrieval, context management, and enterprise system integration. Establishes governance, evaluation, observability, reliability, cost controls, and authorization standards while translating platform investments into business outcomes. Partners across Product, Engineering, Data, Security, Legal, and Compliance, and builds a high-impact AI platform organization.

Own enterprise account expansion across targeted $100M–$1B+ customers by managing complex SaaS sales cycles, identifying cross-sell opportunities, exceeding quotas and renewal targets, forecasting territory performance, and building executive relationships. The role partners with marketing, product, customer service, and implementation teams to drive adoption, customer satisfaction, and recurring revenue growth.

The Technical Account Manager engages with customers to optimize their use of Zuora products, manage configurations, and ensure customer satisfaction through technical solutions and relationship management.

Leads Zuora’s global alliances strategy and organization, building relationships with systems integrators, consulting firms, ISVs, cloud providers, and regional partners. The role drives joint go-to-market plans, co-selling, partner-sourced revenue, enablement, executive relationship management, commercial agreements, and cross-functional integration across sales, marketing, product, services, customer success, and finance.

Analyze marketing, demand, customer, and revenue data to guide investment and executive decisions. Build SQL analyses, attribution models, dashboards, KPIs, and measurement frameworks connecting marketing activity to pipeline and revenue. Translate complex findings into executive recommendations, support planning and board reporting, ensure data quality, and develop AI-powered workflows for reporting, forecasting, anomaly detection, and insight generation.

Analyze marketing, demand, customer, and revenue data to guide investment and performance decisions. Build attribution, funnel, KPI, dashboard, and executive reporting frameworks; translate complex analyses into recommendations for leadership. Own marketing semantic-layer definitions and documentation, validate data quality, and collaborate with data engineering and RevOps. Use AI-powered workflows for reporting, forecasting, anomaly detection, data enrichment, and executive communications.

Build and maintain Zuora’s shared React and TypeScript component library, design system, and developer tooling. Develop accessible, tested, reusable UI components and customer-facing product features; collaborate with Design and product teams; support Storybook documentation, visual regression testing, releases, and adoption. Create AI-assisted development workflows, review code, improve developer experience, mentor engineers, and uphold quality, performance, and accessibility standards across globally distributed teams.

Own enterprise and strategic sales territories, manage complex full-cycle SaaS sales, build pipeline and account strategies, present value propositions to C-level executives, negotiate contracts, forecast performance, exceed quotas, and coordinate with marketing, product, sales development, and customer service teams. The role requires developing long-term customer relationships, advocating for implementations, and driving business transformation through Zuora’s subscription management platform.

Partners with account executives to lead technical relationships with prospects and customers. Delivers customized product demonstrations, presentations, RFP responses, and technical solutions for quote-to-cash and subscription business challenges. Addresses objections, supports account planning, influences product direction, drives adoption, and represents Zuora at events and webinars. Requires SaaS solution engineering experience, strong executive communication, value-based selling expertise, API and coding knowledge, and travel within the territory.

Leads multiple engineering teams and managers responsible for a scalable payments platform. Owns technical strategy, architecture, performance, resilience, operational excellence, reliability, AI-enabled productivity, and engineering quality. Partners with Product, Cloud Engineering, Security, and payment gateway providers while recruiting, developing, and retaining engineering talent. Preferred experience includes payment gateways, processors, authorization, settlement, reconciliation, payment risk, transaction correctness, idempotency, payment security, and PCI compliance.

Lead Zuora’s product design vision and organization as the company evolves toward AI-native and agentic enterprise software. Define interaction models, design principles, and responsible AI practices; partner with Product, Engineering, AI, and executives; simplify complex workflows; build a coherent platform experience; engage customers; and attract and develop high-performing design talent. The role requires shaping product strategy, organizational transformation, and new customer experiences centered on intent, automation, trust, and measurable outcomes.

Design and develop scalable onboarding systems, robust APIs, background services, data pipelines, and distributed microservices. Build AI agents and agentic architectures to streamline complex customer onboarding workflows, including requirements analysis, configuration, data migration, integration, and testing. Collaborate with architects, product managers, and engineers to improve system performance, reliability, developer experience, and customer time-to-value.

Own Zuora’s AI Platform strategy and roadmap, including agent orchestration, session and memory management, tools, APIs, governance, and conversational experiences. Partner with engineering and product teams across Billing, Revenue, Payments, CPQ, and Platform to enable consistent enterprise AI capabilities. Drive architecture decisions, security and audit controls, customer feedback loops, analytics, rapid iteration, cross-functional execution, and external thought leadership.

Manage and expand relationships within large enterprise customers ($100M–$1B+), drive cross-sell and renewal revenue, own territory and account plans, forecast pipeline, collaborate cross-functionally, complete Zuora onboarding, and leverage AI and sales tools to meet and exceed quota.

Design and scale mission-critical distributed Java services for Zuora’s billing platform. Build stream-processing pipelines and event-driven architectures using Kafka, Flink, Beam, CDC, and real-time data stores. Manage cloud-native services with AWS and Kubernetes, improve reliability and data consistency, and use AI-assisted development tools including Claude, Codex, and Cursor. The role requires regular office attendance in Beijing.

The Customer Solution Engineer acts as a technical advisor, designing Zuora solutions, managing customer relationships, utilizing SQL for data analysis, and ensuring solutions meet business needs.

Develop and scale Zuora’s high-throughput, highly available subscription experience platform. Design secure APIs, backend and frontend solutions, and multi-tenant applications serving public and B2B users. Collaborate with product, operations, and vendors on architecture and requirements; deploy, monitor, troubleshoot, and optimize production microservices. Lead code reviews, establish technical standards, improve operational processes, and mentor junior engineers.

Drive go-to-market reporting, business intelligence, forecasting, dashboard development, and ad hoc analysis. The role standardizes forecasting processes, maintains analytical documentation, automates reporting and data pipelines using AI-assisted tools, and delivers actionable insights to Sales, Marketing, Engineering, Finance, and executive stakeholders.

Design and secure enterprise data architectures and integrations across Finance, HR, Procurement, Legal, and other G&A systems. Build API, webhook, microservice, and file-based integrations; define data models, lineage, and ownership; implement AI and MCP-enabled automation; enforce encryption, masking, access controls, and SOX/GDPR compliance; and collaborate with business, security, and audit teams to deliver reliable, scalable systems.

Lead architecture and technical direction for large-scale distributed systems. Design scalable, secure, cloud-native services, influence multiple engineering teams, mentor senior engineers, set engineering standards, manage technical debt, and own performance, resilience, and security for critical platform systems.