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Product Manager - AI Observability/Evaluation Platform

Spotify

Product Manager - AI Observability/Evaluation Platform

Spotify

Toronto

·

On-site

·

Full-time

·

2w ago

We are looking for a Product Manager to join the ML/AI Platform team at Spotify.

The team helps various groups build, deliver, and run ML and AI-enabled experiences at scale. We want a Product Manager to oversee AI Observability and Evaluation. These platform tools assist teams in tracking LLM behavior during production, quickly resolving issues, measuring performance, and consistently refining our AI products.

This is an internal platform role with highly technical customers (ML engineers, backend engineers, data scientists). You will partner closely with engineering leaders to define the paved road for instrumenting, monitoring, and operating AI workloads end-to-end.

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About Spotify

Spotify

Spotify

Public

Spotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.

5,001-10,000

Employees

Stockholm

Headquarters

Reviews

4.0

25 reviews

Work Life Balance

4.2

Compensation

3.8

Culture

4.0

Career

3.9

Management

3.7

72%

Recommend to a Friend

Pros

Great company culture and amazing people

Supportive management and professional growth opportunities

Creative and innovative work environment

Cons

Job insecurity and recent layoffs

Management inconsistency and lack of transparency

Limited internal career mobility

Salary Ranges

3 data points

Junior/L3

Senior/L5

Director

Junior/L3 · Associate Product Manager

0 reports

$141,200

total / year

Base

-

Stock

-

Bonus

-

$120,020

$162,380

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Coding Round

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit