Engineering Manager – Advertising

Spotify

Engineering Manager at Spotify driving advertising engineering leadership and building user-first ad experiences. Responsible for leading a team and enhancing tools to scale ad-serving capabilities.

Posted 4/24/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $164,448 - $234,926 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformHadoopJavaPythonSpark

About the role

Key responsibilities & impact

Build and lead a robust team of data and backend engineers by attracting top talent, mentoring individuals and managing conflict.
Work with product managers and lead the team to design and implement product features, while improving the quality of the current big-data intensive tools that exist for audiences and targeting.
Lead the team to utilize, homogenize and make available for peer teams to use, diverse large-volume datasets built around user preferences, behavior, identity and location - gathered from a user's mobile as well as other connected platforms.
Strong understanding of how data-intensive systems are expressed in the UX shown to customers.
Grow the technical expertise of the team around system design, quality and testing, scalability, performance and fault tolerance.
Manage OKRs, roadmaps, career conversations, performance and accountability, and thereby carefully plan, track, and report on work of the team and identify problems early.
Work closely with many peer teams to ensure that our systems are designed in a scalable and maintainable manner.
Nurture a culture of technical quality from design, through code review, to production.
Drive optimization, testing and tooling to improve data quality.

Requirements

What you’ll need

You have experience in leading, managing, coaching and mentoring software developers
You have 6+ years Experience in object-oriented programming including Java, Python.
You have experience working with high volume heterogeneous data, with data tools such as Hadoop,
You have experience with BigTable, BigQuery and Hive.
You have experience in data modeling, data access and data storage techniques.
You have designed and built distributed production services / pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
You have led agile ceremonies including sprint planning, daily standups and retrospectives
You have experience with yearly and quarterly project roadmap planning including sizing, scoping, prioritizing, sequencing and defining external dependencies
You have mentored and coached software engineers

Benefits

Comp & perks

health insurance
six month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays
paid sick leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

object-oriented programmingJavaPythonHadoopBigTableBigQueryHivedata modelingdata access techniquesdata storage techniques

Soft Skills

leadershipmentoringcoachingconflict managementteam managementcommunicationperformance accountabilityproblem identificationcollaborationtechnical quality