Engineering Manager

Who Are We❓

Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🚲

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪🏼💫

The Job in a Nutshell💡

We are seeking an experienced Engineering Manager to lead our Courier engineering team — a group of 8 to 10 engineers building the systems at the heart of Mrsool's marketplace: dispatch, matching, courier pricing, ETA, and the real-time logistics that move every order. This is a hands-on, data-driven leadership role. You will own delivery and technical direction for the team while bringing sharp analytical judgement to problems that live at the intersection of distributed systems and applied data science. You will make a direct impact on order-failure rates, courier economics, and the reliability of the platform at scale.

What You Will Do💡

Team Leadership: Lead, grow, and retain a team of 8–10 engineers. Own hiring, performance management, career development, and the health and delivery cadence of the team.

Technical Direction: Set technical direction for the Courier domain — dispatch strategy, matching, courier pricing, and ETA — driving RFCs, design docs (HLD/LLD), and execution plans, and holding a high bar for engineering standards.

Data-Driven Decision Making: Ground team decisions in data. Define the right metrics, insist on measurement before and after changes, and use experimentation (A/B and quasi-experimental) to validate that dispatch and pricing changes actually move the numbers rather than shifting them around.

Applied Data Science Partnership: Work fluently with data scientists and ML systems — dispatch optimisation, dynamic and surge pricing, demand/supply forecasting, ETA prediction — enough to challenge modelling choices, reason about trade-offs, and integrate models reliably into production systems.

System Architecture & Scale: Guide the design of highly concurrent, low-latency systems that process massive real-time throughput — order intake streams, per-zone dispatch workers, optimisation services, and the data pipelines that feed them.

Operational Excellence: Own reliability and root-cause discipline for the Courier domain. Champion staging/E2E validation, observability (tracing/metrics), and CI/CD so that issues like mispriced brackets or elevated failure rates in a city are caught before customers feel them, and diagnosed with data when they aren't.

Cross-Functional Collaboration: Partner closely with product, operations, data science, and peer engineering squads to align on courier strategy and deliver seamless, well-instrumented experiences.

Strategic Evolution: Balance short-term delivery against long-term architectural stability. Identify structural improvements to how the team measures, builds, and operates, and make the case for them with evidence.

Requirements

What Are We Looking For❓

• Years of Experience: 8+ years in software engineering, including 2+ years managing engineering teams, ideally in fast-paced product startups or high-scale tech enterprises.
• Engineering Leadership: A track record of leading teams to ship reliable, high-scale backend/distributed systems, with strong judgement on hiring, delivery, and raising the technical bar.
• Data Science & Analytical Strength: Strong grasp of data science and statistics — experimentation and causal inference, forecasting, and optimisation/ML concepts — with the analytical ability to interrogate models and metrics rather than take them at face value. This is a core requirement, not a nice-to-have.
• Distributed Systems Depth: Solid computer-science fundamentals across distributed systems, concurrency, event-driven architectures, and the trade-offs of the CAP theorem.
• Technical Toolkit: Comfortable reading and reasoning about production code and data (SQL and a backend language such as Go, Python, or Ruby), and about the pipelines that feed models and metrics.
• Architectural Mindset: A knack for first-principles problem-solving and a strong record of balancing Non-Functional Requirements like reliability, latency, scaling, and cost.
• Iterative Mindset: A bias towards shipping early and iterating; a belief in small, incremental changes over large, multi-quarter undertakings.
• Leadership & Ambiguity: Proven ability to navigate ambiguity, set clear technical and organisational expectations, handle stakeholders, and thrive in a fast-paced environment.
• Education: Bachelor's/Master's degree in Computer Science or an equivalent technical field.

Who Will Excel❓

• Managers who came up as strong ICs in backend/distributed systems and stayed technical enough to lead from the front on hard problems.
• Those with a background in logistics, ride-hailing, quick commerce, or marketplaces, who understand two-sided supply/demand dynamics and real-time dispatch.
• Leaders who treat data science as a first-class part of the product — dispatch, matching, and pricing — and can bridge engineering and DS effectively.
• High-agency individuals who drive consensus across conflicting technical perspectives and hold the line on operational rigour.

Benefits

What We Offer You❗

• Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and provides flexibility. 
• Competitive Compensation: Our compensation packages are competitive and include potential share options for certain roles. 
• Personal Growth and Development: We are committed to your professional development, offering regular training and an annual learning stipend to help you advance your career in a fast-paced, dynamic environment.
• Autonomy and Mentorship: You’ll enjoy a degree of autonomy in your role, supported by mentorship and ambitious goals that drive both your personal success and the company's growth.
• Working Hours: 5 days a week, 8 working hours and 1 hour lunch break.