Fullstack/Backend Engineer - Conversational Analytic
Posted Apr 29, 2026Updated May 28, 2026
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
You’ll join a Platform team building AI-native conversational analytics experiences that help teams across Spotify explore, understand, and act on data more intuitively. We are rethinking how people interact with analytics by combining production backend systems, intuitive product surfaces, SQL-backed insights, and LLM-powered interfaces. This is a high-ownership, highly collaborative environment where engineers, product, and data partners work closely to turn ambiguous internal data needs into reliable tools used by real teams.
What You'll Do
Own backend/fullstack product initiatives from problem framing through technical design, delivery, launch, and iteration
Build conversational analytics capabilities that let users ask natural-language questions, explore data, and receive useful analytical answers through user-facing and integration surfaces
Design APIs, services, and data-driven workflows that are reliable, observable, maintainable, and scalable
Improve monitoring, quality signals, graceful degradation, and feedback loops so LLM-powered analytical experiences can be trusted in production
Collaborate with product managers, designers, data scientists, and data engineers to turn complex analytics problems into simple user experiences and clear delivery milestones
Make independent technical tradeoffs, communicate progress through clear written artifacts, and help reduce ambiguity for the team
Use AI-assisted engineering tools actively while staying accountable for architecture, verification, maintainability, and the final outcome
Who You Are
You have 4+ years of professional software engineering experience, with recent hands-on ownership of backend or backend-leaning fullstack products
You have strong backend engineering foundations, ideally in Python or Java, and have designed, built, and operated production APIs, services, or data-driven workflows used by real users or customers
You are comfortable with TypeScript and modern frontend systems, although your core strength is backend engineering rather than primarily frontend UI development
You have worked in a product engineering environment, such as a startup, scale-up, modern platform/product team, or product-like consulting engagement, where engineers own outcomes and iterate based on user or stakeholder feedback
You care about production quality: observability, testing, reliability, security, graceful degradation, and sensible API design
You are curious about AI/ML and LLM-powered products; hands-on experience with agents, RAG, prompt iteration, evaluation loops, analytics, BI, or data warehouses is a plus when paired with strong product engineering fundamentals