Engineering Manager, Data
Canada
Xsolla
Find out how you can launch, monetize and scale your video games worldwide, with no upfront costs, using Xsolla's comprehensive suite of tools and services.RESPONSIBILITES
- 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.
- Ensure scalable, privacy-compliant data infrastructure aligned with GDPR, CCPA, and ATT, including support for SKAdNetwork, CMPs, and identity frameworks.
- Foster engineering excellence with a focus on reproducibility, model evaluation, observability, and model lifecycle management.
- Drive a strong feedback loop between experimentation and business outcomes, translating data science insights into product and go-to-market wins.
- Mentor engineers and scientists on career development, technical depth, and cross-functional leadership.
QUALIFICATIONS & SKILLS
- 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.
- Familiarity with audience management, segmentation, and personalization frameworks in programmatic or CRM marketing.
- Experience with privacy-preserving measurement, including support for SKAdNetwork, GAID/IDFA deprecation, and consent systems.
- Excellent leadership, communication, and stakeholder management skills across technical and non-technical audiences.
- Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field. PhD is a plus.
Criminal History Consideration:For the Engineering Manager, Data, we will conduct a background check that may include the following:Criminal history checkEmployment verificationEducation verification
Relevance to Job Responsibilities:The background check is relevant to this position because of the following role responsibilities:Accessing confidential company dataEnsuring compliance with regulatory requirementsHandling sensitive financial information/managing budgets/accessing funds
Rights Under the Fair Chance Act:Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow BigQuery Causal inference Classification Computer Science dbt Engineering Feature engineering Machine Learning MLFlow PhD Pipelines Privacy Snowflake Spark Statistical modeling Statistics Testing
Perks/benefits: Career development Startup environment Team events
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