Design end-to-end conversational experiences — dialogue flows, turn-taking, state and context handling, error and recovery paths, and multi-turn interactions across Spotify's AI products.
Engineer and refine the prompts that drive generative and conversational features, shaping model behavior to produce accurate, reliable, and useful outputs.
Translate product requirements into conversational system design — defining how the model interprets intent, retains context, and decides what to do across a flow.
Prototype with large language models to probe model behaviors, constraints, and failure modes, and turn what you learn into more capable experiences.
Build evaluation frameworks to measure and improve conversation quality, accuracy, task completion, and user impact.
Partner with product managers, engineers, researchers, designers, and the content design team to bring AI systems into cohesive, human-centered products.
Define guardrails for safe, reliable model behavior across AI-driven interactions.
Help raise the bar for conversation design craft on the team, guiding peers and contributing to shared patterns, evaluation methods, and documentation.
Requirements
Technically literate and curious — comfortable working with LLMs, APIs, and structured formats (e.g. JSON, YAML, or Python).
Practiced at testing and improving conversational systems or prompts through data, feedback, and experimentation.
Energized by ambiguity, creativity, and the challenge of defining new interaction paradigms in a fast-moving AI landscape.
A strong writer and editor with excellent editorial judgment, who applies those instincts to conversational systems rather than to traditional content or UI copy.
A strong cross-functional collaborator who balances technical possibility with creative vision.
Familiar with accessibility, localization, regulatory compliance, and safety in digital experiences.
Tech Stack
Python
Benefits
Spotify is an equal opportunity employer
We have ways to request reasonable accommodations during the interview process