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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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You will identify high-impact opportunities using AI/ML to solve business problems and build end-to-end machine learning models. You will also collaborate with engineering teams to develop scalable pipelines and take ownership of solutions from idea to production.
Candidates must have 7+ years of experience in data science or machine learning with hands-on model building expertise. A bachelor's or master's degree in a technical or natural sciences domain is required.
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.
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:
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.
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.
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:
*Benefits may vary by location; details will be shared during the interview process
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
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 [email protected] (or local equivalent, where applicable).
Zuora was born out of a vision that we could evangelize a fundamentally new way of doing business by shifting the focus of companies to deliver recurring, people-centric services instead of a one-time sale of products. This is how we coined the term, the Subscription Economy®. Today, we see others evangelizing this term, and building entire communities around it. The Subscription Economy isn’t (and never was) just about subscription business models but, direct, recurring relationships with customers through any business model. Subscriptions were only just scratching the surface and now, the market recognizes the Subscription Economy for what it truly is-a relationship-centric economy. Companies have realized that the path to growth going forward is to establish direct, digital relationships with their customers, and to nurture and monetize these relationships through an ever growing set of digital services. Alongside this evolution, Zuora has been there every step of the way. We started with Zuora Billing, and have expanded our award-winning multi-product portfolio to include Zuora Revenue, Zuora Payments and Zuora Platform. More recently, we’ve added Zephr and Togai to our family, further expanding our capabilities to serve as an intelligent hub that monetizes the complete quote to cash and revenue recognition process at scale. We call this Monetization.
Offices: 101 Redwood Shores Pkwy, Redwood City, California 94065, US
