Zuora
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. About Z Labs What started off as a 10X AI Innovation centre is now the organizational hub that focuses on building product experiences by leveraging the emerging and ever-growing capabilities of Foundation Models. The Z Labs team is responsible for long-term, big-ticket bets, experimenting at the edge of what can be done with Agentic AI, testing unpolished versions with early users to find what works, and taking what lands and scaling it into products our customers can rely on. This approach produced MILO, Zuora’s suite of Customer Onboarding Agents, which have helped reduce customer onboarding time by orders of magnitude (from many months to a few weeks), and onboarding cost by over 50%. We formalized and expanded this approach to incubate experimental, high-impact, industry-changing products at the frontier of AI’s capabilities. The speed of advancement in AI demands a different approach to how we build, how we organize, and where we focus. Z Labs gives Zuora the room to break the mold and explore, before scaling these innovations to meet the needs of our enterprise customers and bring in new growth opportunities. Z Labs employs Applied Scientists, Research Scientists, ML Engineers and AI-native Full-Stack Developers. Combined with AI Product Managers, this team has grown at an aggressive pace in the last 12-18 months. Join us if you are truly AI-native and go to sleep thinking- 'why not', if you would love to invent simple solutions to complex problems, if you enjoy working in an ambiguous and challenging environment and you are comfortable in a high-velocity startup mode. The Opportunity We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions. You’ll: Identify high-impact opportunities using AI/ML to solve customer and business problems Partner with stakeholders and influence decisions through data-driven insights Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data Collaborate with engineering teams to develop scalable data and ML pipelines Take full ownership from idea to production , delivering measurable business outcomes This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions. About You 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience Curious mind to learn, explore and identify biggest customer opportunities Build strong relationships across both technical and business/product teams, earn trust with leadership Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay Willingness to dive deep into the tech stack as well as hands-on coding Experience in building end to end ML models, across the ML lifecycle Strong communication and leadership presence Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments Bachelors/Masters in a technical or natural sciences domain from a top university Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives. The Team Zuora Platform Tech is at the forefront of technological and business transformation , tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science) , you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond. The team operates at the intersection of AI, business strategy, and product innovation , solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS .
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).