Senior Product Quality Analyst - AI Voice in London

Senior Product Quality Analyst - AI Voice in London

London Full-Time 59400 - 72600 £ / year (est.) Working from home possible
Spotify

At a Glance

  • Tasks: Define and measure AI voice quality for Spotify's innovative products.
  • Company: Join Spotify's dynamic Personalization team, shaping the future of audio experiences.
  • Benefits: Flexible work environment, inclusive culture, and opportunities for personal growth.
  • Other info: Collaborate with diverse teams and contribute to an inclusive workplace.
  • Why this job: Make a real impact on how millions enjoy music and podcasts with cutting-edge AI technology.
  • Qualifications: Experience in product quality evaluation and strong understanding of audio characteristics.

The predicted salary is between 59400 - 72600 £ per year.

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.

Spotify is an equal opportunity employer.

You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones.

Our platform is for everyone, and so is our workplace.

The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!

So bring us your personal experience, your perspectives, and your background.

It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.

We have ways to request reasonable accommodations during the interview process and help assist in what you need.

If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

Find our AI notice here: https://lifeatspotify. com/ai-notice

Senior Product Quality Analyst - AI Voice in London employer: Spotify

At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Product Manager for our design systems, you'll have the opportunity to shape the future of product development while working in a vibrant city like Stockholm, known for its creativity and tech-forward mindset. We offer flexible working arrangements, a commitment to employee growth through continuous learning, and a supportive environment where your contributions directly impact the user experience across our platform.

Spotify

Contact Details:

Spotify Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Quality Analyst - AI Voice in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Spotify or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Spotify.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Spotify.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Spotify that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Product Quality Analyst - AI Voice in London

Product Quality Evaluation
Evaluation Criteria Definition
Qualitative and Quantitative Analysis
Voice Quality Assessment
Naturalness Measurement
Pacing and Tone Evaluation
Accent and Pronunciation Analysis

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Spotify.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Spotify and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Spotify

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Spotify uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.