软件工程师-II
Software Engineer-II
软件工程师-II（广告方向）负责构建数据、分析和产品体验，帮助商家和品牌理解广告表现并决定下一步投资方向。该职位将通过将复杂的广告数据和业务逻辑转化为清晰、可操作的见解，加强客户面向的品牌体验平台和内部商家工作站平台的广告体验。
广告、DART 和利润率计算器是商家日常决策的关键输入。目前的广告体验是品牌体验平台上使用率最低的区域，因为它尚未提供必要的数据，包括关键词级别的详细信息，或对表现的有力解释。该工程师将帮助改进这一体验，支持快速的概念验证，并构建可扩展的功能，以支持商品部门在广告、促销和定价支持方面的额外程序化品牌支持目标。
成功的表现
• 在品牌体验和商家工作站中显著提升广告体验，提高当前平台上使用率最低页面的参与度。
• 为商家和品牌提供准确、可决策的广告数据，包括关键词级别的表现洞察。
• 让商家能够审计广告支出，解释项目Astra的影响，并清晰地展示Spreetail的广告策略和成果。
• 构建可操作的建议，帮助品牌理解何时以及在哪里增加广告投入可以创造价值。
• 快速运行聚焦的概念验证，纳入反馈，并将成功的方案扩展为可靠的产品功能。
• 为商品部门的目标做出贡献，即在广告、促销和定价支持方面获得额外100万美元的程序化品牌支持。
• 提升广告数据在内部和面向品牌的流程中的可靠性、清晰度和可用性。
主要职责
为品牌体验和商家工作站上的广告设计、构建、测试和维护全栈功能。
• 开发数据服务和可视化工具，展示广告表现、支出、影响和行动机会。
• 将广告策略、项目Astra的输出和复杂业务规则转化为清晰的产品体验，供商家和品牌使用。
• 创建关键词级别的和其他详细的视图，用于诊断表现并支持投资决策。
查看英文原文
The Software Engineer-II for Ads builds the data, analytics, and product experiences that help Merchants and Brands understand advertising performance and decide where to invest next. This role will strengthen the Ads experience across the customer-facing Brand Experience platform and the internal Merchant Station platform by turning complex advertising data and business logic into clear, actionable insights.
Ads, together with DART and margin calculators, is a critical input into day-to-day Merchant decisions. The current Ads experience is one of the least-used areas in Brand Experience because it does not yet provide essential data, including keyword-level detail, or a compelling explanation of performance. This engineer will help overhaul that experience, support rapid proofs of concept, and build scalable capabilities that contribute to Merchandising's goal in additional programmatic Brand support across Ads, Promotions, and Pricing Support.
What Success Looks Like
• Delivers a significantly improved Ads experience in Brand Experience and Merchant Station, increasing engagement with a page that currently has the lowest usage on the platform.
• Provides Merchants and Brands with accurate, decision-ready advertising data, including keyword-level performance insights.
• Enables Merchants to audit advertising spend, explain the impact of Project Astra, and present a clear story about Spreetail's advertising strategy and results.
• Builds actionable recommendations that help Brands understand when and where additional advertising investment can create value.
• Runs focused proofs of concept quickly, incorporates feedback, and scales successful approaches into reliable product capabilities.
• Contributes to Merchandising's goal of securing $1 million in additional programmatic Brand support across Ads, Promotions, and Pricing Support.
• Improves the reliability, clarity, and usability of advertising data across both internal and Brand-facing workflows.
Key Responsibilities
Design, build, test, and maintain full-stack features for Ads across Brand Experience and Merchant Station.
• Develop data services and visualizations that show advertising performance, spend, impact, and opportunities for action.
• Translate advertising strategy, Project Astra outputs, and complex business rules into clear product experiences for Merchants and Brands.
• Create keyword-level and other detailed views needed to diagnose performance and support investment decisions.
• Integrate advertising data into existing Merch Tech workflows while maintaining accuracy, freshness, and consistency.
• Partner with Merchants, Product, Design, Data, and engineering teammates to clarify user needs and prioritize the highest-value capabilities.
• Develop proofs of concept to test how Ads insights and storytelling can increase Brand engagement and support dollars.
• Improve deployment workflows so new data, metrics, and product enhancements can reach users faster and more safely.
• Apply strong engineering practices, including code reviews, automated testing, monitoring, documentation, and maintainable system design.
• Investigate production issues, resolve data or experience gaps, and continuously improve platform performance and usability.
Key Metrics You Will Impact
• Engagement and adoption of Ads capabilities in Brand Experience and Merchant Station.
• Availability and completeness of decision-critical Ads data, including keyword-level information.
• Merchant ability to audit advertising spend and communicate advertising performance to Brands.
• Speed and quality of proofs of concept, experiments, and subsequent production releases.
• Contribution toward $1 million in additional programmatic Brand support across Ads, Promotions, and Pricing Support.
• Data accuracy, platform reliability, defect rates, and time to resolve issues.
• Cycle time for introducing new Ads data, insights, and user actions into the platforms.
Skills and Experience
• Strong 3-5 years of full-stack development skills, with experience connecting backend data services to intuitive front-end experiences.
• Experience developing analytics, reporting, or data-visualization products that help users make decisions.
• Ability to translate complex business logic and large datasets into accurate, understandable, and actionable product features.
• Experience working with APIs, data integrations, data quality checks, and modern software delivery practices.
• Strong understanding of automated testing, code quality, monitoring, and maintainable system design.
• Comfort working in ambiguity, testing ideas quickly, learning from users, and iterating toward scalable solutions.
• Clear communication and effective collaboration with technical and non-technical stakeholders.
• Experience with e-commerce, pricing, promotions, or merchant-facing platforms is preferred.
Originally posted on Himalayas