高级技术产品经理，广告机器学习
Senior Technical Product Manager, Advertising ML
你是一位技术产品经理，关注模型优化的目标，而不仅仅是围绕它的路线图。你在推荐和排序系统方面有扎实的功底，将负责Xsolla广告产品背后的推荐引擎：决定数百万玩家看到哪些优惠以及以什么顺序展示的排序系统。
你对决策制定的标准要求很高。你能直接指出一份报告说明了什么、没有说明什么。你能够将模型性能与收入联系起来而不夸大其词，并且在涉及机器学习、分析、广告运营和商业团队的工作中，你秉持低姿态、以人为本的态度。
如果你对使用机器学习构建下一代广告、奖励和忠诚度计划充满热情，特别是针对移动应用和游戏，我们希望与你取得联系。
关于我们
Xsolla是一家全球性商务公司，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的确信，Xsolla致力于汇聚机会，并持续为创作者提供新的资源。总部位于美国加利福尼亚州洛杉矶，Xsolla作为交易商负责运营，已帮助超过1500+家游戏开发商在全球范围内触达更多玩家并增长业务。随着更多盈利路径和赢利方式的出现，开发者拥有享受游戏所需的一切。
更多信息，请访问 xsolla.com。
平等就业机会声明
Xsolla是平等待遇的雇主。我们庆祝多样性，并致力于为所有员工创造一个包容的环境。我们不因种族、肤色、宗教、性别、国籍、年龄、残疾、性取向、性别认同或其他受法律保护的特征而歧视。我们根据《公平机会法案》考虑有犯罪记录的合格申请人。
犯罪历史审查
对于高级产品分析师职位，我们将进行背景调查，可能包括以下内容：
- 犯罪记录检查
- 就业验证
- 教育验证
与工作职责的相关性：由于以下职责，背景调查与此职位相关：
- 访问机密公司数据
《公平机会法案》中的权利
查看英文原文
ABOUT YOU
You are a technical product manager who owns what a model optimises for, not just the roadmap around it. You have real depth in recommendation and ranking systems, and you will own the recommendation engine behind the Xsolla Advertising Products: the ranking that decides which offers millions of players see, and in what order.
You hold the bar high for how decisions get made. You can read a readout and say plainly what it does and does not support. You connect model performance to revenue without overclaiming, and you bring a low-ego, people-first approach to work that spans ML, analytics, ads operations, and commercial teams.
If you are excited about using ML to build building the next generation of advertising, rewards and loyalty programs for mobile apps and games we want 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.
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 Senior Product Analyst, 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 due to the following role responsibilities:
Accessing confidential company data
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
RESPONSIBILITIES
Own the recommendation engine as a product: ranking, relevance, and the model roadmap. Ranking quality is the product.
Set the objective the ranker optimises for, the constraints it works inside, and the guardrails and kill conditions that bound it. The target is eCPM today; what comes next is your call.
Own the metric definitions the whole team measures against, and settle the definitional questions that change the answer: gross against publisher-side RPU, app-load against impression-user denominators, mean of daily values against window totals.
Collaborate with on ML frameworks, experiment design, hold-outs, including pre-registered decision rules, power calculations, sample-ratio-mismatch checks, A/A validation, multiplicity correction, and named rollback triggers.
Collaborate with DS on readouts to evaluate model performace and readouts to business stakeholders readout: what the model did, what it cost, and what happens next.
Contribute the ranking perspective to the wider ads roadmap, including the seams where pricing, identity, and event telemetry meet ranking.
QUALIFICATIONS & SKILLS
6+ years in product management, with 3+ years owning a recommendation, ranking, personalization, or relevance system in production.
Deep understanding of experiment design and inference, including minimum detectable effect, statistical power, sample ratio mismatch, A/A testing, multiple-comparison correction, and pre-registration. You can tell when a readout will not support the claim being made from it, and you say so.
Working knowledge of the modelling itself: classification and regression, probability calibration, predicted conversion rate, expected-value objectives, and how the choice of objective changes model behavior.
Hands-on experience with ML and data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, Vertex AI, and feature stores.
Proven record of moving model changes into production traffic through a controlled experiment process, rather than shipping on a dashboard reading.
Knowledge of performance advertising economics and ad tech ecosystems, including eCPM, RPU, bid multipliers, campaign hierarchies, and attribution models.
SQL you write yourself, and enough comfort reading application code to verify a claim instead of taking it on trust.
Excellent written communication and stakeholder management across technical and non-technical audiences. Specs, decision records, and readouts are the output of this role, and other teams act on them without you in the room.
Bachelor's or Master's in Computer Science, Engineering, Statistics, Economics, or a related field.
Offerwall, rewarded advertising, loyalty and rewards programs and/or mobile app monetization experience is a plus.
Experience with a two-stage ranking system, where an external service supplies the base order and local logic adjusts it, is a plus.
Pricing, yield management, or marketplace experience alongside ranking is a plus.
SALARY RANGE