Director, Software Engineering

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 is re-architecting CPQ for the next generation—moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x). You’ll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI—from building scalable pricing engines to embedding intelligent agents into quote workflows. You’ll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency. About You You’ll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You’re equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities. You may be a great fit if you: * Have significant experience leading backend/platform engineering teams building large-scale SaaS systems (CPQ, billing, pricing, or similarly complex domains). * Are strong at system design, technical judgment, and organizational leadership—able to make clear tradeoffs between flexibility, correctness, and scale. * Can bridge deterministic systems and AI-driven approaches, knowing when to apply rules vs ML/LLMs to solve real business problems. * Thrive in environments where requirements are complex and evolving, and where you’re expected to drive both long-term architecture and near-term execution. * Bring a track record of delivering high-impact platforms—e.g., scaling pricing systems, simplifying complex workflows, or embedding new capabilities (like AI) into core products. * Are effective at driving cross-functional outcomes, especially across Product, Data/ML, and GTM teams. ⸻ Nice to Have * Experience with CPQ platforms (Salesforce CPQ, Zuora CPQ, Apttus) * Background in subscription or usage-based pricing models * Familiarity with LLM patterns (RAG, embeddings) or production ML systems * Experience integrating with CRM/ERP systems or financial platforms About the Team The CPQ Engineering team owns the systems that sit at the center of Zuora’s revenue engine—powering how deals are configured, priced, and transacted across the Subscription Economy. The team is responsible for building scalable, high-correctness platforms that connect CRM, billing, and downstream financial systems. We work closely with Product, Data/ML, Sales/GTM, and Finance teams to ensure pricing and quoting workflows are both flexible and operationally sound. This includes deep collaboration on DealDesk workflows, pricing strategy, and embedding AI-driven capabilities directly into sales and quoting processes. The team operates as a distributed engineering organization, with a strong bias toward design-first development, async collaboration, and clear technical ownership. Decisions are driven by data, system constraints, and long-term maintainability rather than short-term patches. Engineers on this team gain exposure to core revenue systems, AI-driven product innovation, and cross-functional problem solving, ... (truncated, view full listing at source)