Live opening · Posted 1 day ago

Software Engineer-II

Spreetail · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanySpreetail
LocationIndia (Remote)
Work modeYes
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com.
The Software Engineer II for Ads builds the data, analytics, and product experiences that help Merchants and Brands understand how advertising is performing 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 lowest-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 of generating $1 million 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
What experiences will help you in this role:
Professional software engineering experience building and supporting production applications
Strong 3-5 years 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, retail media, digital advertising, pricing, promotions, or merchant-facing platforms is preferred
This is a remote position and requires candidates to have an available work-from-home setup
Desktop/Laptop system requirements:
- 4th generation or higher, at least Intel i3 or equivalent processor;
- at least 4GB RAM;
- Windows 10 and above or MAC OSX operating system
- You are required to provide your own dual monitors
A strong and stable internet connection (A DSL, cable or fiber wired internet service with 10 Mbps plan or higher for primary connection)
PC Headset
A high-definition (HD) external or integrated webcam with at least 720p resolution.
Please be aware of scammers. Spreetail will only contact you through Lever or the spreetail.com domain. Spreetail will never ask candidates for money during the recruitment process. Please reach out to careers@spreetail.com directly if you have any concerns. Emails from @spreetailjobs.com are fraudulent.
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.

Work arrangement
Yes

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