Jobs at Zuora

Design and develop scalable integration services, REST APIs, connectors, event-driven systems, and microservices for Zuora’s enterprise integration platform. Improve performance, observability, reliability, and resilience across distributed systems while collaborating with Product, Platform, Security, and external partners. Contribute to architecture, write tested maintainable code, and support secure real-time data exchange across CRM, ERP, payments, and other business platforms.

Leads global Talent Acquisition as a player-coach, personally managing executive and strategic technical or business searches while modernizing recruiting through AI, emerging technology, metrics, and improved processes. Advises C-suite leaders on workforce strategy, develops recruiters, establishes performance standards, strengthens candidate experience, and translates talent-market intelligence across North America, EMEA, and APAC.

Provides on-site and remote technical support for macOS and Windows devices, office technology, Zoom Rooms, collaboration hardware, software, and workspace tools. Responsibilities include troubleshooting, hardware preparation, system installation and upgrades, employee onboarding and training, executive support, event and streaming technology support, security posture maintenance, and participation in on-call coverage. The role also collaborates on technology planning, testing, and implementation in a global SaaS environment.

Own the strategy, roadmap, delivery, enablement, messaging, metrics, and governance of employee-facing enterprise AI products. Lead discovery, prioritize backlogs, coordinate agile delivery, build self-service AI learning experiences, support agent development, and partner with Security, Legal, Data, HR, and Finance. Drive adoption, safe AI use, employee proficiency, self-service resolution, and measurable business outcomes through pilots, experimentation, training, communications, and responsible AI practices.

Build production integrations, AI agents, and multi-agent workflows directly with customer engineering teams. Integrate Zuora with metering, entitlement, ERP, CRM, and finance systems; develop AI monetization capabilities; implement evaluations, guardrails, observability, and security controls; and deploy solutions rapidly. Document product gaps, create reusable components, support warranty periods, and hand off production systems while enabling customer teams to operate them independently.

Lead the AI Platform engineering team building Zuora’s agentic platform, including runtime, orchestration, MCP integrations, context retrieval, model access, evaluation, observability, guardrails, and auditability. Remain hands-on by writing code at least 50% of the time while hiring and developing 5–8 engineers. Own architecture and roadmap, maintain weekly releases, and partner with Product, Security, and Architecture to deliver reliable enterprise software.

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.

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.

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.

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.

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.

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.

Lead analyst relations strategy to position Zuora as the AI monetization category leader. Manage briefings, RFIs, demos, customer references, and analyst-facing narratives. Mobilize cross-functional teams to convert product capabilities into analyst evidence, close feedback loops into product and marketing actions, and package analyst validation for sales and marketing use.

Lead the global payments ecosystem, manage processor integrations, optimize payment performance, and collaborate with various teams to deliver effective solutions.

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.

Partner with Account Executives as the payments subject-matter expert to assess customers' payment architecture, design multi-provider payment solutions, deliver technical demos and workshops, advise on payment optimization and resilience, support RFPs and POCs, and collaborate cross-functionally to scale payment solutions and influence product capabilities.