At a Glance
- Tasks: Drive Spotify's experimentation culture and provide technical support to users.
- Company: Join Spotify, the world's leading audio streaming service with a vibrant culture.
- Benefits: Flexible work options, inclusive environment, and opportunities for personal growth.
- Why this job: Be part of a dynamic team shaping the future of experimentation in tech.
- Qualifications: Experience in backend development, A/B testing, and strong problem-solving skills.
- Other info: Work from London or Stockholm with a startup mindset and broad ownership.
The predicted salary is between 36000 - 60000 £ per year.
Interested in driving Spotify’s experimentation culture while being the first line of support for our platform? Spotify’s Confidence team is looking for a Customer Success Engineer who will serve our customers — product, engineering, and data teams at Spotify, as well as external companies using our experimentation platform — combining technical depth, business acumen, and strong interpersonal skills to provide strategic guidance and automate problem-solving. We’re seeking a versatile engineer skilled in backend development, SDK development, and customer interaction.
Your primary responsibility will be to provide first-response support to teams running experiments and making product decisions with Confidence, and to build and maintain strong relationships that ensure their success and satisfaction. Join a high-paced, startup-like team of engineers, designers, data scientists, and product managers to drive the adoption, reliability, and effectiveness of our experimentation platform across Spotify. Confidence is built as a product that serves both Spotify and other businesses; you’ll help shape reusable, productizable solutions. We operate with a startup mindset — expect ambiguity, shifting priorities, and broad ownership.
What You’ll Do- Own technical support for Confidence users (product managers and developers), providing hands-on guidance, troubleshooting, and enablement.
- Monitor and respond to Confidence support channels; triage, debug, and resolve issues, escalating bugs and complex failures to engineering when needed.
- Serve as first-line incident owner for Confidence, coordinating with engineering to drive timely resolution and clear communication.
- Independently resolve most incoming issues using common debugging approaches (e.g., writing queries, reading and interpreting GCP logs, and basic code-level investigation).
- Identify recurring issues and advocate for structural, long-term fixes across product, platform, or tooling.
- Propose and drive tooling and automation that reduces support cost and improves developer experience.
- Contribute improvements to SDKs, samples, or documentation when it unblocks teams.
- Support onboarding, adoption, and long-term success for teams integrating Confidence into their workflows.
- Represent the voice of Confidence users and influence the product roadmap to improve usability and reliability.
- You understand how developers work and have experience with modern infrastructure, preferably in an enterprise environment.
- You have experience with experimentation (A/B testing) or can ramp up quickly, and are comfortable with experiment design, metrics, guardrails, and interpreting results in production.
- You can debug issues independently by reading Java code, analyzing GCP logs, and writing queries.
- You’re familiar with modern data warehouses and analytics stacks (e.g., Databricks, BigQuery, Snowflake, Redshift).
- You have strong analytical and problem-solving skills and take ownership of issues end to end.
- You’re an excellent written and verbal communicator—clear, calm under pressure, and able to explain complex systems to non-experts.
- Experience with post-sales, B2B SaaS, or experimentation / developer tooling platforms is a strong plus!
This role is based in London (UK) or Stockholm (Sweden). 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.
Customer Success Engineer - Experimentation Platform employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Engineer - Experimentation Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Spotify, especially those in roles similar to the Customer Success Engineer. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Spotify’s experimentation culture. Familiarise yourself with A/B testing concepts and be ready to discuss how you can contribute to their platform's success.
✨Tip Number 3
Show off your problem-solving skills! Be ready to share examples of how you've tackled technical challenges in the past. This will demonstrate your ability to handle the hands-on support aspect of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Spotify team!
We think you need these skills to ace Customer Success Engineer - Experimentation Platform
Some tips for your application 🫡
Show Your Passion for Experimentation: When writing your application, let us know why you're excited about driving Spotify's experimentation culture. Share any relevant experiences you have with A/B testing or similar projects to show you understand the importance of data-driven decisions.
Be Clear and Concise: We love a good communicator! Make sure your application is easy to read and straight to the point. Use clear language to explain your technical skills and how they relate to the role, especially when it comes to debugging and problem-solving.
Highlight Your Technical Skills: Don’t shy away from showcasing your technical expertise! Mention your experience with backend development, SDKs, and any relevant tools like GCP logs or data warehouses. We want to see how you can contribute to our platform right from the get-go.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Spotify
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in backend development and SDKs. Familiarise yourself with GCP logs and Java code, as you'll likely need to demonstrate your ability to debug issues during the interview.
✨Understand Experimentation
Since this role revolves around experimentation, be prepared to discuss A/B testing concepts and how they apply to product decisions. Show that you can think critically about experiment design and metrics, and be ready to share any relevant experiences.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to interact with non-experts. Think of examples where you've successfully communicated with different stakeholders.
✨Show Your Problem-Solving Skills
Be ready to showcase your analytical abilities. Prepare to discuss past challenges you've faced and how you resolved them, particularly in a customer support context. Highlight any tools or automation you've implemented to improve processes.