About noon
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. We want to redefine what technology can do in this region, and we're looking for a product manager who can help us move even faster.
Noon's fastest hyper-local delivery platform, Noon Minutes, offers a localized assortment of FMCG & grocery products with delivery within 15-minutes. Currently live across the UAE and Saudi Arabia, offering thousands of products to customers in record time.
noon's mission: Every door, every day.
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. As the Instock Product Manager for Noon Minutes, you will own end-to-end product strategy and execution for inventory availability-partnering closely with data science, engineering, operations, and commercial teams to ensure the right products are always on the shelf, at the right time, in every dark store.
- Own the Instock product roadmap for Noon Minutes, defining and prioritising initiatives that directly improve product availability and reduce out-of-stock rates across all dark stores.
- Build and iterate on demand forecasting models in collaboration with data science—applying ML techniques, statistical methods, and operational insights to generate accurate, SKU-level forecasts at a hyper-local level.
- Develop and maintain replenishment algorithms and inventory optimisation systems, translating complex mathematical models into scalable product features.
- Define, track, and deep-dive into key instock metrics (fill rate, OOS %, waste %, days of cover) and drive actionable insights from data using Python and MySQL.
- Work hands-on with raw data-write your own SQL queries, build dashboards, and validate model outputs; you won't wait for analysts to do it for you.
- Partner with category, supply chain, and operations teams to identify root causes of stockouts and overstock situations and translate findings into product improvements.
- Design and run A/B tests and experiments on forecasting and replenishment logic; measure impact rigorously and ship learnings fast.
- Lead product discovery-interview warehouse managers, buyers, and ops leads; translate on-ground realities into precise product requirements.
- Define APIs and data pipelines needed for instock features; work closely with engineering to scope, spec, and ship robust backend systems.
- Champion a data-first culture: bring quantitative rigour to every prioritisation decision and product review.
What you'll need:
- 1-3 years of work experience.
- Strong foundation in machine learning and statistical modelling—you understand the mechanics of forecasting algorithms (time-series, regression, gradient boosting) and can meaningfully contribute to model design discussions.
- Proficiency in Python: you write production-quality analysis scripts, prototype models, and automate data workflows independently.
- Advanced MySQL / SQL skills: you are comfortable writing complex queries, building analytical views, and working with large transactional datasets day-to-day.
- Sharp mathematical intuition-you're comfortable with probability, optimisation, and algorithmic thinking; you can break down a complex operations problem into a solvable model.
- Demonstrated ability to ship data-intensive products end-to-end: from problem framing and model design to engineering spec and production rollout.
- Experience with quick-commerce, e-grocery, FMCG, or dark-store operations is a strong plus.
- Excellent communication skills-you can translate technical complexity for non-technical stakeholders and operational nuance for engineering teams.
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Who will 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.
