Location
Bengaluru, Karnataka, India
Required Skills
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 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
⸻
Nice to Have
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, with opportunities to expand scope across CPQ, Billing, and broader platform architecture while developing as technical and organizational leaders.
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:
.ZEOLife at Zuora
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
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).
Ideal Candidate
An engineering leader who has shipped large-scale SaaS platforms in pricing, billing, or CPQ domains and can simultaneously architect deterministic systems while embedding ML/LLM capabilities.
Estimated Salary Range(medium confidence)
₹32 L – ₹55 L per year
Likely Interview Questions
- 1.Walk us through a complex pricing or billing system you architected—what were the hard constraints, and how did you handle versioning/backward compatibility at scale?
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