Engineering Manager, Data at Xsolla (USA), Inc. – Canada | Jobyssey

Xsolla seeks a strategic, hands-on Engineering Manager to lead data and machine learning initiatives, oversee ad-tech and experimentation platforms, ensure scalable privacy-compliant infrastructure, and connect data science outcomes to product and business results.

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 across 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.
Oversee real-time ad-event pipelines for attribution and performance optimization.
Collaborate with Product, Growth, and Marketing on audience scoring, LTV/churn models, and incrementality testing.
Ensure scalable, privacy-compliant infrastructure aligned with GDPR, CCPA, and ATT, including SKAdNetwork, CMPs, and identity frameworks.
Promote reproducibility, model evaluation, observability, and model lifecycle management.
Translate data science insights into product and go-to-market outcomes.
Mentor engineers and scientists on technical depth, career development, and leadership.

Requirements

5+ years in software or data engineering or applied data science, including 3+ years managing technical teams in ML, analytics, or ad tech.
Deep knowledge of machine learning and statistical modeling, including regression, classification, causal inference, uplift modeling, and forecasting.
Hands-on experience with Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, and feature stores.
Experience architecting and deploying batch and real-time ML systems into production.
Knowledge of ad-tech ecosystems, attribution models, campaign hierarchies, and creative performance tracking.
Familiarity with audience management, segmentation, and personalization frameworks.
Experience with privacy-preserving measurement, SKAdNetwork, GAID/IDFA deprecation, and consent systems.
Excellent leadership, communication, and stakeholder management skills.
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field; PhD is a plus.

Benefits

Medical, dental, and vision insurance
PTO
Personalized career roadmap
Professional development through training and educational opportunities

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