About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

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.

In this role, you will:

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.

About You

You may be a great fit if you:

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.