Engineering Manager, Data

Job not on LinkedIn

🕒 May 12

🇨🇦 Canada – Remote

💵 $120k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Xsolla

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.

📋 Description

• 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

🎯 Requirements

• 5+ years of experience in software/data engineering or applied data science • 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 • Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field • PhD is a plus

🏖️ Benefits

• medical, dental, and vision • PTO • a personalized career roadmap for each employee • investing in professional development through training and educational opportunities