S
Spotify

Engineering Manager - Experimentation

LondonEnglishRemote
StrategyProductEngineeringAI & DataMarketing
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At a glance
LocationLondon
Work styleRemote
TypeNot specified
ScheduleNot specified
RemunerationNot disclosed
Start dateNot stated
DeadlineNot stated
Required languagesNot stated
The opportunity

About the role

Think it, build it, ship it, tweak it" is at the core of Spotify's product development approach. In the Experimentation product area we are providing Spotify and external customers with Confidence, our platform to quickly and safely iterate through ideas, learn from them and make informed decisions for better products. At Spotify, experimentation touches almost all of our functions from marketing via content management to consumer products, and we’re running several thousands of tests every year. Through confidence, we 're sharing all our findings and practices with more companies as a commercial SaaS product.

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What matters

What they’re looking for

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  • You thrive when developing great people, not just great products and cultivating a strong engineering culture in an agile environment.
  • You are skilled in collaborating on and developing distributed systems that can scale to millions of users.
  • You have experience with data warehouses and data processing at scale.
  • You have worked on commercial SaaS products in the past and have hands on experience taking features from zero to one.
  • You are a brave learner and see unfamiliar territories as an opportunity to grow.
  • You are a senior individual contributor (or has been) with strong people skills and leadership experience.
  • You’re passionate about software engineering best practices and love to have an impact on large-scale tech problems.
  • You care deeply about quality of the products your working and, and hold people to a high standard.
  • Naturally, you harness AI as a tool that helps you be more effective at your work.
The organization

About Spotify

Verified

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2active opportunities
1observed locations
1work modes observed
AITechnologySustainabilityPublic ImpactOperationsProductEngineeringAI & Data
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