Senior Product Quality Analyst - AI Voice
Spotify
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
10,397 open product roles across 1,317 companies are on ApplySarthi right now, most of them in Bengaluru (356), Hyderabad (106), Delhi NCR (75).
- Senior Manager, Product Management, TechnicalAmazon · hyderabad
- Growth Product Marketing ManagerOpenai
- Product ControllerJPMorgan
- Product Manager - Veeva TrainingJobgether
- Product Support Engineer - NAMERAshby
What product roles keep asking for: Product management (49%), Stakeholder management (17%), SaaS (14%), Agile (13%) — counted across their open postings here.
Generative AI jobs · Machine learning jobs
Spotify has 129 open roles listed here.
- Senior Product Manager — Subscriptions (Freemium)
- Senior Product Manager - User Platform
- Senior Fullstack Engineer
- Senior Engineering Manager - Information Technology
- Senior Applied Research Scientist - Personalization
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for product roles keep coming back to Product management, Stakeholder management, SaaS, Agile. Practise those questions before you sit with Spotify.
Questions you are likely to be asked
- Why do you want to join Spotify?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Product Quality Analyst - AI Voice at Spotify interview free →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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Senior Staff Engineer - Platform & Partner ExperienceSpotify
- Backend Engineer - Platform SecuritySpotify
- Senior Product Quality Analyst - AI VoiceSpotify
- Senior Machine Learning Engineering ManagerSpotify
- Principal Product Manager - Format FoundationsSpotify
- Staff Product Designer - Agentic ExperiencesSpotify
- Senior Data Engineer - Data PlatformSpotify
- Senior Product Manager, Consumer - AudiobooksSpotify
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on lever · posted 2026-08-17. ApplySarthi collects openings and links to application pages; the role is advertised by Spotify, not by us.