Senior Product Quality Analyst - AI Voice

New
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SpotifyAI voice
This role is based in LondonFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Generative AI

Requirements

  • Experience in product quality, evaluation, data curation or a related field using human judgment to assess model or product performance.
  • Ability to independently define evaluation criteria and turn subjective qualities into clear, repeatable rubrics.
  • Experience designing and running qualitative evaluations.
  • Experience designing and running MOS-style evaluations.
  • Ability to synthesize evaluation results into actionable insights.
  • Understanding of voice or audio quality, including naturalness, pacing, tone, accent and pronunciation, or ability to develop that expertise quickly.
  • Strong judgment in maintaining a consistent quality bar while balancing product requirements, markets and stakeholder perspectives.
  • Ability to work autonomously and establish evaluation processes and cadence.
  • Clear communication across creative, technical and product teams, including serving as a point of contact for internal partners and external vendors.
  • Curiosity about generative AI, speech technology and the evolving AI voice landscape.

Responsibilities

  • Define the quality bar for Spotify’s AI voice models across products, audiences, languages and use cases.
  • Design evaluation rubrics and approaches for naturalness, tone, pacing, pronunciation, accent, audio quality and overall experience.
  • Plan and run evaluation campaigns, then turn qualitative and quantitative findings into recommendations.
  • Establish an ongoing schedule and process for reassessing model quality.
  • Benchmark Spotify’s AI voices against third-party models and competitors.
  • Assess quality trade-offs as Spotify expands into additional languages and regions.
  • Partner with voice experts, machine learning teams, product partners and vendors to maintain a consistent quality bar.
  • Identify performance gaps and use evaluation insights to influence research and technical priorities.
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