noon
Software Development Engineer, Commercial
Dubai, UAEPosted today
- Salary
- AED 12k–18k a month· est.
- Job type
- Full time
- Level
- Senior
- Field
- Engineering & Technology
- Work mode
- On site
About the role
About us We're building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. noon.com is our core marketplace and one of the region’s leading e-commerce platforms. We’re building at scale across categories from electronics to fashion, connecting millions of customers with sellers and brands every day. Fast-moving, data-driven and constantly evolving, it’s where we test, learn and grow the business across the region. What You'll Do Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. What You'll Need Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. You will own a well-defined part of our commercial systems, from design to production operations, and work with the wider team on the rest. Scope & responsibilities • Design, build and operate scalable backend services and APIs for pricing, promotions, catalogue and other commercial workflows across retail and marketplace • Build reliable batch and real-time data pipelines that feed commercial decisions • Build systems for retail operations: buying and merchandising tools, replenishment and inventory planning, and supplier cost and margin management • Turn ambiguous commercial problems (margin leakage, stock-outs, promo ROI) into well-scoped technical solutions with clear success metrics • Build internal tools and dashboards that let category, pricing and marketing teams act on data themselves • Work with data scientists to productionise ML models: serving, monitoring, A/B testing and clear fallbacks • Own quality in production: testing, observability, performance and incident response • Partner with category, buying, pricing and marketing leaders to build tools and systems they actually use • Mentor peers and raise the bar on engineering practices across the team Key responsibilities by focus area: Expect to work on some mix of these, prioritised by business impact. • Pricing and competitiveness: Build the pricing engine and rules service with category guardrails for retail and marketplace, and real-time repricing pipelines, with ML elasticity models plugged in where they help, driving margin, price index and conversion • Promotions and discounts: Build a promotion platform with eligibility and budget controls, plus experimentation to measure uplift, improving promo ROI and incremental GMV • Retail replenishment and inventory planning: Build services that turn demand signals into reorder recommendations and stock-out and overstock alerts, including forecasting models, improving in-stock rate and reducing overstock. • Retail buying, merchandising and supplier management: Build tools for buyers and merchandisers covering supplier cost and margin tracking, range planning, and price and promo funding workflows, improving gross margin and sell-through • Assortment and catalogue: Build tooling and data pipelines that find missing high-demand products and underperforming listings, improving selection coverage and GMV • Seller and marketplace quality: Build seller performance scoring and detection of fraud and abnormal pricing, protecting seller health and customer trust • Commercial data and experimentation platform: Build reliable, well-modelled datasets, A/B testing tooling and self-serve dashboards for retail and marketplace teams, speeding up decisions and improving data trust Who'll Excel? • •We're looking for people with high standards, who understand that hard work matters. • •You need to be relentlessly resourceful and operate with a deep bias for action. • •We need people with the courage to be fiercely original. • •noon is not for everyone; readiness to adapt, pivot, and learn is essential.
Responsibilities
- Design, build and operate scalable backend services and APIs for pricing, promotions, catalogue and other commercial workflows across retail and marketplace
- Build reliable batch and real-time data pipelines that feed commercial decisions
- Build systems for retail operations: buying and merchandising tools, replenishment and inventory planning, and supplier cost and margin management
- Turn ambiguous commercial problems (margin leakage, stock-outs, promo ROI) into well-scoped technical solutions with clear success metrics
- Build internal tools and dashboards that let category, pricing and marketing teams act on data themselves
- Work with data scientists to productionise ML models: serving, monitoring, A/B testing and clear fallbacks
- Own quality in production: testing, observability, performance and incident response
- Partner with category, buying, pricing and marketing leaders to build tools and systems they actually use
- Mentor peers and raise the bar on engineering practices across the team
- Key responsibilities by focus area: Expect to work on some mix of these, prioritised by business impact.
- Pricing and competitiveness: Build the pricing engine and rules service with category guardrails for retail and marketplace, and real-time repricing pipelines, with ML elasticity models plugged in where they help, driving margin, price index and conversion
- Promotions and discounts: Build a promotion platform with eligibility and budget controls, plus experimentation to measure uplift, improving promo ROI and incremental GMV
- Retail replenishment and inventory planning: Build services that turn demand signals into reorder recommendations and stock-out and overstock alerts, including forecasting models, improving in-stock rate and reducing overstock.
- Retail buying, merchandising and supplier management: Build tools for buyers and merchandisers covering supplier cost and margin tracking, range planning, and price and promo funding workflows, improving gross margin and sell-through
- Assortment and catalogue: Build tooling and data pipelines that find missing high-demand products and underperforming listings, improving selection coverage and GMV
- Seller and marketplace quality: Build seller performance scoring and detection of fraud and abnormal pricing, protecting seller health and customer trust
- Commercial data and experimentation platform: Build reliable, well-modelled datasets, A/B testing tooling and self-serve dashboards for retail and marketplace teams, speeding up decisions and improving data trust
Skills
- Backend services
- APIs
- data pipelines
- batch processing
- real-time data
- pricing systems
- promotions platforms
- inventory planning
- supplier cost and margin management
- ML model productionisation
- model monitoring
- A/B testing
- observability
- incident response
- data dashboards
- engineering mentoring
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