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Manager Engineering, Accounting Data and Systems

CompraTica Empleos

EMP:Finance
London - The River Building HQ
Tiempo Completo
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Descripción

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the TeamIt’s an exciting time to join our rapidly growing Accounting team with ample development opportunities

We're growing the Revenue Data team with Engineering and Accounting Data openings to drive our automation and systems infrastructure and while keeping pace within one of the fastest growing marketplace companies.

 About the RoleThe Manager of Engineering for Accounting Infrastructure and Systems leads a team responsible for building and maintaining the scalable backend systems, data pipelines, and integrations that power DoorDash's accounting, reconciliation, and financial reporting workflows.

This role partners closely with Finance, Accounting, and cross-functional engineering teams to translate complex regulatory and operational.

Requisitos

into reliable, automated platforms that ensure accuracy, auditability, and compliance at scale

The ideal candidate combines strong technical leadership and distributed-systems expertise with a deep understanding of financial processes, while mentoring engineers and driving the strategic roadmap for the company's accounting technology stack.

You will report into the Senior Manager, M&A Accounting (Data) on our Accounting Revenue Data team in our Finance organization.

You’re excited about this opportunity because you will…Own the strategic roadmap and execution for DoorDash's accounting infrastructure, including the data pipelines, system integrations, and automation platforms that power financial reporting, reconciliation, and compliance at scale.

Partner with Accounting, Finance, and cross-functional engineering teams to translate complex regulatory and operational requirements into reliable, auditable backend systems.

  • Lead and mentor a team of engineers, setting technical direction and fostering a high-performance culture within a fast-moving, high-stakes financial environment.

Drive measurable improvements in data accuracy, pipeline reliability, and system scalability — directly enabling faster close cycles an.

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