Product Engineer – Analytics as a Service

Product Engineer – Analytics as a Service Position Summary The Product Engineer is responsible for rapidly designing, building and delivering cloud-native analytics services that create measurable customer value. The engineer will operate as a full-stack product builder rather than traditional software developers, owning features from concept through production. Working alongside the Product Owner and SaaS Architect, the Product Engineer will leverage AI-assisted, specification-driven development practices to accelerate delivery while maintaining exceptional software quality. The engineer is expected to iterate quickly with customers, continuously improve the platform and contribute across the full software lifecycle. This role is intended for builders who thrive in high-growth, fast-paced environments where speed, ownership and customer impact are equally important. Primary Responsibilities Product Development Design, develop and maintain cloud-native analytics services. Deliver production-ready software across: Backend services APIs Data pipelines User interfaces Cloud infrastructure Analytics capabilities AI-First Development Use AI extensively to accelerate: software design specification refinement coding unit testing integration testing documentation troubleshooting code reviews Continuously improve engineering productivity through AI-enabled development practices. Customer-Centric Engineering Work closely with Product Owner and Customer Success to: understand customer needs validate assumptions prototype rapidly incorporate customer feedback deliver frequent releases Maintain direct awareness of customer outcomes rather than simply completing development tasks. Engineering Quality Build software that is: Secure Reliable Observable Maintainable Well-tested Highly scalable Participate in architecture discussions, peer reviews and continuous improvement initiatives. Team Collaboration Partner closely with: Product Owner SaaS Architect DevOps Customer Success Commercial Leader Contribute to a collaborative, high-performance engineering culture focused on rapid execution and continuous learning. Required Experience 5+ years professional software development Experience developing SaaS applications Experience with cloud-native architectures Strong full-stack development skills Experience with Agile software delivery Experience working in fast-paced product organizations Preferred Experience Experience with: Microsoft Azure AWS Kubernetes Modern web frameworks Distributed systems Industrial IoT Data analytics platforms AI-assisted software development Success Measures Within 12 months: Consistently deliver high-quality production features Maintain rapid release cadence High automated test coverage achieved AI-assisted development practices fully adopted Strong customer adoption of delivered capabilities Active contribution to continuous platform improvement Travel Approximately 10% travel, including periodic customer visits to strengthen product understanding. #LI-PW1