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Remote role with common Engineering Manager title but senior, specialized logistics/distributed-systems focus limits applicant density.
Strong logistics/marketplace and distributed-systems emphasis reduces cross-industry transferability.
Explicit 8+ years, 2+ years management, mandatory distributed-systems and data-science requirements enforce strict shortlisting.
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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, reliability, and operational excellence of the Courier domain systems at scale, impacting order-failure rates and courier economics.
Drive data-driven decision-making and collaborate closely with data science to integrate ML models, optimize dispatch strategy, and improve platform performance.
8+ years in software engineering with 2+ years managing engineering teams in fast-paced startups or high-scale tech companies.
Strong engineering leadership with experience in backend/distributed systems development and team management.
Solid knowledge of data science, statistics, experimentation, forecasting, and ML concepts relevant to the product domain.
Bachelor's or Master's degree in Computer Science or equivalent technical field.
Background as a strong individual contributor in backend/distributed systems who remained deeply technical while transitioning to management.
Experience in logistics, ride-hailing, quick commerce, or marketplaces with understanding of two-sided supply/demand and real-time dispatch.
Proven ability to bridge engineering and data science teams, driving consensus and operational rigor in a fast-paced, ambiguous environment.