Senior Product Quality Analyst - AI Voice

Spotify · Londonsenior

En corto

▸Analista senior de calidad de voz AI que define y mide la experiencia de voces generadas por IA en Spotify.
▸Evalúa naturalidad, acento, ritmo y calidad audio con rubricas claras, guiando mejoras técnicas y creativas.
▸Destacado: trabaja en la intersección entre producción de voz, ML y productos como AI DJ o podcasts personalizados.

Fluent English required for collaboration with global teams and evaluation of internationa

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia en calidad de producto, evaluación humana o curación de datos con enfoque en voz o audio.
✓Capacidad para crear rubricas de evaluación objetivas y repetibles para cualidades subjetivas.
✓Conocimiento o capacidad para aprender sobre naturalidad, acento, ritmo y pronunciación en voces de IA.
✓Habilidades para diseñar y ejecutar evaluaciones cualitativas y de MOS (Mean Opinion Score).
✓Capacidad para sintetizar hallazgos en recomendaciones accionables para equipos técnicos y creativos.
✓Comunicación efectiva entre equipos creativos, técnicos y de producto, con enfoque en calidad consistente.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AI VoiceGenerative AISpeech TechnologyNaturalnessPacingTonePronunciationAccentAudio QualityEvaluation Rubrics

¿A quién escribirle en Spotify?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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.

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