Director of Engineering, Data

Xsolla
Canada
Workplace: RemoteFull timeCAD 120,000 - 160,000 annuallyFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Leadership","Communication","Stakeholder management","Mentoring","Team leadership"]

Lead a distributed data science and data engineering team to build data-powered systems for attribution, experimentation, and personalization in ad tech. Define and execute ML & data pipelines roadmap, manage real-time and batch processing with GDPR/CCPA compliance, mentor engineers, and translate insights into product and growth outcomes.

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Xsolla
Xsolla
1 year ago

Director of Engineering, Data

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead a distributed data science and data engineering team to build data-powered systems for attribution, experimentation, and personalization in ad tech. Define and execute ML & data pipelines roadmap, manage real-time and batch processing with GDPR/CCPA compliance, mentor engineers, and translate insights into product and growth outcomes.
Location: Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Lead and grow a high-performing, distributed team of data scientists, ML engineers, and data platform engineers.
  • •Define and execute the data science and ad tech roadmap, advancing initiatives in user modeling, campaign optimization, targeting, and personalization.
  • •Architect and manage ML pipelines and experimentation frameworks, including feature engineering, training pipelines, model serving, A/B testing, and causal inference systems.
  • •Oversee real-time pipelines for ad events (e.g., impressions, clicks, conversions), enabling responsive attribution and performance optimization.
  • •Collaborate with Product, Growth, and Marketing to develop audience scoring, LTV/churn models, and incrementality testing for media measurement and bidding efficiency.

Pay and Benefits

Salary: CAD 120,000 - 160,000 annually
Perks:Health InsuranceVisionPaid LeaveLearning BudgetRemote Work

Key Requirements

  • •5+ years of experience in software/data engineering or applied data science, with 3+ years managing technical teams in ML, analytics, or ad tech domains.
  • •Deep understanding of machine learning and statistical modeling, including regression, classification, causal inference, uplift modeling, and forecasting.
  • •Hands-on experience with ML/data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, and feature stores.
  • •Proven experience in architecting and deploying end-to-end ML systems into production (batch and real-time).
  • •Knowledge of ad tech ecosystems, including campaign hierarchies, attribution models (multi-touch, view-through), and creative performance tracking.
Experience:Ad techMLData engineeringData scienceAttributionExperimentation
Education:Bachelor's
Skills:LeadershipCommunicationStakeholder managementMentoringTeam leadership
Tech Stack:SnowflakeBigQuerySparkAirflowDbtMLFlowFeature stores

Company Brief

Xsolla
Provides payment, billing, distribution and commerce solutions for video game developers and publishers, enabling in-game purchases, store infrastructure, fraud protection, and global payment processing to monetize games across platforms and regions.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Sherman Oaks, Los Angeles, United States
Founded: 2005
WebsiteLinkedIn