💼 About This Role

You'll lead teams responsible for delivery network efficiency through high-stakes algorithmic systems at a global three-sided marketplace. You'll own handover logistics and consumer signals, ensuring orders are collected at peak freshness and ETAs remain highly accurate. This role offers direct impact on real-world logistics in a low-hierarchy, high-ownership environment.

🎯 What You'll Do

• Lead and develop a team of Machine Learning Engineers.
• Optimise handover logistics by building dispatch synchronization models.
• Own consumer signals for ETAs and dynamic availability.
• Drive production excellence from noisy real-world data.

📋 Requirements

• Proven people leadership managing ML engineers.
• Hands-on experience building and deploying ML systems at scale.
• Domain expertise in logistics, supply chain, or real-time systems.
• Operational pragmatism with noisy data and technical trade-offs.

✨ Nice to Have

• Experience with marketplace optimization.
• Background in consumer-facing real-time systems.
• Cross-functional collaboration with product and operations.

🎁 Benefits & Perks

• 💰 Competitive salary and equity options.
• 🌱 Fast impact with quick ship-test-improve cycles.
• 🧠 Growth through challenge with big ambiguous problems.
• 🌎 Builder culture with high standards and flexibility.