数据工程经理
Director of Engineering, Data
你是一位具有战略和战术眼光的工程与数据总监，对数据平台和机器学习系统有深入的专业知识。你将领导一个分布式的团队，包括数据工程师、机器学习工程师和数据科学家，负责开发推荐引擎、个性化系统和数据基础设施，这些是全球数百万玩家使用的产品的核心。
理想的候选人是一位协作型领导者，具备扎实的技术基础，并有将端到端机器学习系统投入生产的成功记录。你对交付的内容有高标准：可靠的流水线、可复现的模型、周到的特征工程以及从一开始就内置的可观测性。你懂得如何将模型性能与实际业务成果联系起来，并以低姿态、以人为本的方式进行跨职能合作。
如果你热衷于构建推动不断增长的全球游戏平台的数据和机器学习基础，并希望塑造数百万玩家发现和参与游戏的方式，我们期待你的加入。
关于我们
Xsolla 是一家全球商业公司，提供强大的工具和服务，帮助开发者解决视频游戏行业的固有挑战。从独立开发到AAA级别，公司与Xsolla合作，帮助他们资助、分发、营销和变现他们的游戏。基于对视频游戏未来信念，Xsolla坚定地致力于汇聚机会，并持续为创作者提供新的资源。总部位于加利福尼亚州洛杉矶，Xsolla作为交易商运营，已帮助超过1500+游戏开发者在全球范围内触达更多玩家并增长他们的业务。随着更多盈利路径和赢利方式，开发者拥有享受游戏所需的一切。
更多信息，请访问 xsolla.com。
福利：
我们热衷于为团队营造支持性的环境，因此通过全面的福利计划优先关注员工及其家庭的身心健康。这包括医疗、牙科和视力保险、带薪休假，以及为每位员工定制的职业发展路线。通过投资专业发展，提供培训和教育机会，我们确保团队在个人和职业上都能茁壮成长。我们不仅仅是在建立一家企业；我们正在培育一个重视创造力、协作和游戏变革力量的社区。
平等就业
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ABOUT YOU
You are a strategic and tactical Director of Engineering, Data, with deep expertise in data platforms and machine learning systems. You will lead a distributed team of data engineers, ML engineers, and data scientists delivering the recommendation engines, personalization systems, and data infrastructure that power products used by millions of players worldwide.
The ideal candidate is a collaborative leader with strong technical foundations and a proven track record of shipping end-to-end ML systems into production. You hold the bar high for what gets shipped: reliable pipelines, reproducible models, thoughtful feature engineering, and observability built in from the start. You know how to connect model performance to real business outcomes, and you bring a low-ego, people-first approach to cross-functional work.
If you're passionate about building the data and ML foundation that drives a growing global gaming platform, and want to shape how millions of players discover and engage with games, we'd love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Engineering Manager, Data, we will conduct a background check that may include the following:
- Criminal history check
- Employment verification
- Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
- Working with vulnerable populations
- Accessing confidential company data
- Ensuring compliance with regulatory requirements
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.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
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.
- 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.