Design, build, and operate backend services and large-scale data pipelines that power Native Ads forecasting, supply allocation, and campaign delivery optimization.
Develop and maintain the data infrastructure behind ML forecasting models that predict campaign reach, clicks, conversions, and supply availability across segments, surfaces, and markets.
Build systems that enable forecasting at scale; supporting bulk buying workflows, multi-subcampaign budget allocation, and high-throughput forecast serving for internal and external customers.
Contribute to supply optimization systems including campaign pacing, business-aware supply allocation, and auction infrastructure to maximize delivered revenue and yield.
Collaborate with data scientists and ML engineers to productionize prediction models, build feature pipelines, and ensure model outputs are reliable and observable in production.
Help drive improvements to data quality, pipeline reliability, and system observability across the forecasting and delivery stack.
Work in a cross-functional, agile squad alongside product managers, data scientists, and other engineers to continuously experiment, iterate, and deliver on squad objectives.

Requirements

3+ years of professional experience in backend engineering, with meaningful exposure to data engineering or ML infrastructure.
Proficient in at least one backend language such as Java, Scala, or Python, and have experience building services and data pipelines that operate at scale.
Experience with distributed data processing frameworks (e.g., Scio, Apache Beam, Spark, Flink, or Dataflow) and are comfortable working with large-volume, heterogeneous datasets.
Familiarity with cloud data platforms, ideally GCP, including tools like BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
Understanding of data modeling, pipeline orchestration, and the tradeoffs between batch and streaming architectures.
Care about data quality, system reliability, and building infrastructure that downstream consumers can trust.
Excitement to work at the boundary of backend systems and data/ML, eager to deepen skills in both areas.
Thrive in collaborative, cross-functional environments and comfortable navigating ambiguity as requirements evolve.
Growth mindset and energized by the prospect of seeing work directly impact how artists promote their music to millions of listeners.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend engineeringdata engineeringML infrastructureJavaScalaPythondistributed data processingdata modelingpipeline orchestrationbatch and streaming architectures

Soft Skills

collaborationcross-functional teamworkadaptabilitygrowth mindsetproblem-solvingcommunicationdata quality focussystem reliabilityeagerness to learnnavigating ambiguity