Job description
Company Overview
At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.
The Team & Role
Do you like being part of a team that is at the cutting edge of technological and business transformation? Do you enjoy facing new challenges, ambiguous, hard problems? Here at Zuora Platform tech, you will get the opportunity to mold your own projects using cutting edge technology, learn a great deal about multiple areas of the business, and generate true customer value.
Do you like being part of a team that is at the cutting edge of technological and business transformation? Do you enjoy facing new challenges, ambiguous, hard problems? Here at Zuora Platform tech, you will get the opportunity to mold your own projects using cutting edge technology, learn a great deal about multiple areas of the business, and generate true customer value.
In this role, you will help transform how an entire section of the global economy monetizes through AI-powered systems. As a key member of the newly formed AIMS (AI, ML, and Science) 10X team, you will be responsible for architecting and building scalable AI and ML infrastructure, NLP pipelines, and real-time data solutions that power monetization across the Zuora product suite. Your work will directly support and accelerate initiatives such as dynamic pricing, forecasting, personalization, experimentation, generative AI solutions, and intelligent automation.
You will collaborate cross-functionally with data scientists, software engineers, product managers, and business stakeholders to productionize AI solutions, engineer scalable ML pipelines, and deliver AI-native products that impact Zuora’s revenue, customer growth, and product innovation.
Our Tech Stack: AWS, Kubernetes, Terraform, Java, Python, Spark, Kafka, Airflow, MLflow, Docker, REST APIs, Snowflake, Postgres, Redis, Bedrock, LangChain, Hugging Face, PyTorch, TensorFlow, Vector DBs (e.g. Qdrant, Pinecone)
What you’ll do
Build Scalable AI Infrastructure: Design and develop robust data and ML pipelines that support both batch and real-time inference at scale using tools like Spark, Airflow, Kafka, and AWS.
Operationalize AI Solutions: Work closely with data scientists to take ML models from experimentation to production, integrating them into Zuora products with strong observability, reliability, and performance.
NLP Systems and GenAI Integration: Develop scalable NLP pipelines, implement LLM-based solutions using prompt engineering, retrieval-augmented generation (RAG), embeddings, and serve generative AI APIs in production.
Data Engineering and Feature Pipelines: Build and optimize ETL/ELT pipelines that transform raw transactional and behavioral data into structured, high-quality features for ML models and analytics.
Own End-to-End ML Engineering: From ingestion to deployment, monitor model drift, ensure model retraining, and implement CI/CD workflows for ML.
Collaborate Cross-Functionally: Partner with product, analytics, and science teams to understand business problems, propose scalable AI architectures, and translate prototypes into production-grade systems.
Drive Technical Excellence: Champion best practices in MLOps, data governance, model versioning, reproducibility, and responsible AI deployment.
Qualifications-
7+ years of experience in AI/ML engineering, NLP systems, or data engineering, with a proven track record of deploying scalable AI solutions in production
Deep experience with distributed systems, real-time streaming platforms (e.g., Kafka), and cloud-native data/ML infrastructure (e.g., AWS S3, SageMaker, Bedrock, Lambda)
Experience building NLP applications using traditional and transformer-based methods (e.g., spaCy, Hugging Face, LangChain, OpenAI)
Proficiency in Python and/or Java, with strong fundamentals in software engineering and API design
Expertise with orchestration frameworks (Airflow, Kubeflow) and model lifecycle tools (MLflow, SageMaker Pipelines, etc.)
Solid understanding of data modeling, feature engineering, and data quality frameworks
Experience with MLOps practices, CI/CD for ML, model monitoring, and performance tuning
Comfortable working across structured and unstructured data, from relational databases to logs and documents
Familiarity with SaaS, eCommerce, pricing systems, or payments is a plus
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related technical field
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.
#ZEOLife at Zuora
As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs” are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world.
As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:
- Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
- Medical insurance
- Generous, flexible time off
- Paid holidays, “wellness” days and company wide end of year break
- 6 months fully paid parental leave
- Learning & Development stipend
- Opportunities to volunteer and give back, including charitable donation match
- Free resources and support for your mental wellbeing
Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.
Location & Work Arrangements
Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. Though we are quite flexible, this role is open for Bangalore/Chennai location with Hybrid mode (No remote)
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.
Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards 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(at)zuora.com.
