Own the quality bar for Spotify’s AI voice models, defining what “good enough” means for different products, audiences, languages and use cases.
Independently design evaluation rubrics and build an evaluation approach that measures qualities such as naturalness, tone, pacing, pronunciation, accent, audio quality and overall experience.
Plan and carry out evaluation campaigns, turning qualitative and quantitative findings into clear recommendations for Voice Production, Speak and product teams.
Establish an ongoing evaluation rhythm, including when and how we reassess model quality as our technology and products evolve.
Benchmark Spotify’s AI voices against third-party models and competitors to understand where our experiences lead, where they differ and where there are opportunities to improve.
Help determine appropriate quality trade-offs as Spotify expands into additional languages and regions, considering the product use case and needs of each market.
Partner closely with voice experts, machine learning teams, product partners and vendors to maintain a consistent quality bar across demanding and sometimes competing priorities.
Surface the most meaningful gaps in model performance and use evaluation insights to help influence future research and technical priorities.
You have experience in product quality, evaluation, data curation or a closely related field where human judgment is used to assess model or product performance.
You know how to independently define evaluation criteria and turn subjective qualities into clear, repeatable rubrics.
You are comfortable designing and running both qualitative and MOS-style evaluations and synthesizing the results into actionable insights.
You have an understanding of voice or audio quality, including qualities such as naturalness, pacing, tone, accent and pronunciation, or the ability to develop that expertise quickly.
You have strong judgment and can maintain a consistent quality bar while balancing different product requirements, markets and stakeholder perspectives.
You are comfortable working autonomously, identifying what needs to be evaluated and establishing the processes and cadence to make that evaluation useful over time.
You communicate clearly across creative, technical and product teams and can act as a reliable point of contact for internal partners and external vendors.
Taken from the listing. Check the full advert before you apply.
Full description
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are the Voice Production Team, the creative team behind Spotify’s AI voice experiences. We think about AI voices from a casting perspective — including voice type, age and gender — and from a performance perspective, recognizing that a voice may need to perform differently for DJ than it does for an audiobook recap. We bring expertise in voice casting, direction, recording and production, and work closely with Speak to set the quality bar for AI voice models across experiences including AI DJ, Generative AI Ads, Personalized Podcasts, Agent Voice Chat and more.
As a Senior Product Quality Analyst, you’ll bring a dedicated evaluation perspective to the team. You’ll own how we define and measure AI voice quality, bringing together Voice Production’s creative bar, Speak’s technical bar and the wider industry bar. Your goal won’t simply be to determine whether Spotify has the “best” AI voice technology on the market. You’ll help us answer a more important question: is our technology the best at serving Spotify’s specific needs?
What You'll Do
Own the quality bar for Spotify’s AI voice models, defining what “good enough” means for different products, audiences, languages and use cases.
Independently design evaluation rubrics and build an evaluation approach that measures qualities such as naturalness, tone, pacing, pronunciation, accent, audio quality and overall experience.
Plan and carry out evaluation campaigns, turning qualitative and quantitative findings into clear recommendations for Voice Production, Speak and product teams.
Establish an ongoing evaluation rhythm, including when and how we reassess model quality as our technology and products evolve.
Benchmark Spotify’s AI voices against third-party models and competitors to understand where our experiences lead, where they differ and where there are opportunities to improve.
Help determine appropriate quality trade-offs as Spotify expands into additional languages and regions, considering the product use case and needs of each market.
Partner closely with voice experts, machine learning teams, product partners and vendors to maintain a consistent quality bar across demanding and sometimes competing priorities.
Surface the most meaningful gaps in model performance and use evaluation insights to help influence future research and technical priorities.
Who You Are
You have experience in product quality, evaluation, data curation or a closely related field where human judgment is used to assess model or product performance.
You know how to independently define evaluation criteria and turn subjective qualities into clear, repeatable rubrics.
You are comfortable designing and running both qualitative and MOS-style evaluations and synthesizing the results into actionable insights.
You have an understanding of voice or audio quality, including qualities such as naturalness, pacing, tone, accent and pronunciation, or the ability to develop that expertise quickly.
You have strong judgment and can maintain a consistent quality bar while balancing different product requirements, markets and stakeholder perspectives.
You are comfortable working autonomously, identifying what needs to be evaluated and establishing the processes and cadence to make that evaluation useful over time.
You communicate clearly across creative, technical and product teams and can act as a reliable point of contact for internal partners and external vendors.
You are curious about generative AI, speech technology and the evolving AI voice landscape and can translate changes in the industry into meaningful benchmarks for Spotify.
Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Sourced from the employer’s own listing · last verified 10 Nov 2026. Report this listing