Manager of Software Engineering, Zuora

• Have experience leading software engineers, typically 2+ years as a people manager or tech lead in B2B SaaS, with a strong hands-on engineering background. You still write production code and want a role where coding is at least half of the job
• Have built and shipped production systems powered by LLMs — such as agents, tool-calling or RAG systems, or LLM evaluation and observability tooling
• Have designed distributed, cloud-native platforms or services that other engineering teams build on, and care about developer experience, reliability, and scale
• Are strong at coaching engineers, setting clear expectations, and making sound technical and delivery decisions in a fast-evolving technology space
• Have worked on teams that ship weekly or faster, and know how to keep quality high through small releases, automated testing, and fast feedback loops
• Thrive in environments where priorities evolve and you balance long-term architecture with near-term delivery
• Bring a track record of delivering complex software on time, improving team velocity or quality, and growing engineers into senior roles

Desirable

• Zuora AI brings agents directly into the workflows where revenue runs — investigating invoice issues, resolving billing and collections exceptions, answering revenue questions in seconds, and accelerating implementations through Milo™, our quote-to-cash implementation agent
• As Manager, Software Engineering for the AI Platform team, you will lead the team building the agentic platform that powers all of it: the shared runtime, orchestration, tooling, context, and safety layers that every Zuora AI agent and experience is built on
• You will set the technical direction for how agents reason over live account, contract, invoice, payment, and accounting data; how they act safely through tools and protocols such as MCP; and how we evaluate, observe, and govern them so finance teams can trust them with revenue
• This is a hands-on role: you will spend at least 50% of your time writing, reviewing, and shipping code alongside the team while you hire and grow a team of 5 to 8 engineers
• The team releases weekly, so you will keep that pace without trading away quality or safety
• You will also partner closely with Product and the application engineering teams building on the platform, and turn fast-moving AI capabilities into reliable, enterprise-grade software
• Within 6 to 12 months, you will have shipped a platform that lets Zuora teams launch new agents quickly and confidently, established the standards for quality, security, and auditability of AI at Zuora, and built a team known for shipping
• Write code at least 50% of your time: design, build, and review core platform components, and personally own critical parts of the system
• Own the architecture and roadmap for Zuora’s agentic platform, including agent runtime and orchestration, tool and MCP integration, memory and context retrieval, and model access across providers
• Build the evaluation, observability, and guardrail foundations (testing harnesses, tracing, cost and latency controls, permissions, audit trails) that make AI agents safe in core financial processes
• Make the platform easy to build on, with clear APIs, SDKs, and patterns that let product teams ship agents into billing, collections, revenue, and implementation workflows
• Run a weekly release cadence, keeping work in small, shippable increments backed by CI/CD, automated testing, and evaluation gates so the team ships fast and safely
• Hire, coach, and grow engineers; set clear expectations; and build a culture of ownership, rigor, and fast iteration
• Partner with Product, Security, and Architecture to balance speed of innovation with reliability, compliance, and customer trust