Spreetail - Software Engineer-II
Requirements
• 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. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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
• 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. • 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.
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