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Remote, generalist Engineering Manager role with popular title but mid-tier brand.
Requires domain-specific logistics, dispatch, and ML-backed pricing expertise, limiting cross-industry transferability.
Explicit 8+ years and 2+ years management plus mandatory distributed systems and data-science expertise.
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Lead and grow a Courier engineering team of 8-10 engineers responsible for dispatch, matching, courier pricing, ETA, and real-time logistics systems.
Own technical direction, architectural decisions, and reliability for high-concurrency, low-latency distributed backend systems impacting order-failure rates, courier economics, and platform scale.
Drive data-driven decision making using experimentation and collaborate closely with data scientists to integrate and challenge ML models and metrics.
8+ years in software engineering with at least 2 years managing engineering teams, preferably in fast-paced product startups or high-scale tech enterprises.
Bachelor's or Master's degree in Computer Science or equivalent technical field.
Strong expertise in backend/distributed systems, concurrency, event-driven architectures, and real-time data pipelines with backend language experience (Go, Python, or Ruby) and SQL.
Deep understanding of data science concepts including experimentation, causal inference, forecasting, and ML applied to production systems.
Experienced in engineering leadership with a strong technical background in backend and distributed systems, able to lead from the front on complex technical problems.
Familiar with logistics, ride-hailing, quick commerce, or marketplace domains involving two-sided supply/demand dynamics and real-time dispatch.
Capable of bridging engineering and data science to treat data science as a core product component and drive operational rigor across technical and organizational boundaries.