Xsolla

1 year ago

Engineering Manager, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 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

Website LinkedIn

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Xsolla

1 year ago

Engineering Manager, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

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

Industry: Payments

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Sherman Oaks, Los Angeles, United States

Founded: 2005

Website LinkedIn