About the role
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. 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. Nice to have: Experience with billing, subscription, pricing, or quote-to-cash systems. Experience with agent frameworks and protocols (e.g., Model Context Protocol), multi-agent orchestration, or model gateway and routing layers. Experience applying AI in regulated or high-trust domains such as finance, where accuracy, explainability, and auditability matter. Hands-on experience with cloud platforms (e.g., AWS) and modern service architecture. Experience partnering with Product on roadmap and discovery. About the Team The AI Platform team is part of Product & Technology and builds the foundation behind Zuora AI — the agents, MCP capabilities, and AI experiences embedded across Zuora’s quote-to-cash platform. We release weekly, and our engineering managers write code alongside their teams. We work across time zones, favor written, asynchronous collaboration, and make decisions close to the work. You will have room to grow scope, lead cross-functional initiatives, and take on broader leadership responsibilities as Zuora AI expands. Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you. At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable). The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here . Base Pay Details $197,200 - $271,150 USD