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Encord

AI-native data infrastructure for Physical AI

Finance Associate

Bookkeeping +1Confirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • A degree in Finance, Accounting, Economics, or a related quantitative field.
  • One to two years of experience in a finance, accounting, or analytical role; technology or startup experience is a plus but not required.
  • Foundational knowledge of bookkeeping, accounts payable and receivable, and invoicing.
  • Proficiency in spreadsheet software and financial tools.
  • Understanding of AI-native finance stacks is advantageous.
  • Ability to adapt in a fast-paced, growing environment.

Responsibilities

  • Manage day-to-day bookkeeping, accounts payable, VAT returns, and accounts receivable.
  • Process employee expense reports and ensure adherence to company policies.
  • Oversee client invoicing and manage billing workflows.
  • Assist with month-end close procedures, bank reconciliations, and general ledger maintenance.
  • Support financial reporting, budgeting, and variance analysis.
  • Collaborate on ad-hoc finance and operational projects.
  • Run and improve day-to-day finance processes, identifying and improving manual or unclear processes.
  • Partner with the wider finance function and cross-functional teams across the business.

Desired Qualifications

  • Technology or startup experience.
  • Understanding of AI-native finance stacks.

About the Company

Encord

AI-native data infrastructure for Physical AI

Encord provides an AI-native data infrastructure platform for Physical AI, helping enterprises manage multimodal data for robotics, autonomous systems, and related applications. It offers Encord Annotate for collaborative multimodal annotation, Encord Active for data curation and quality evaluation, and Encord Index for petabyte-scale dataset search and management, covering the full data lifecycle from collection to deployment. The platform acts as a universal data layer for production-grade Physical AI, addressing the infrastructure gap left by cloud-era tools focused on text and tabular data and emphasizing multimodal data and embodied AI. Its goal is to enable teams to build, evaluate, and deploy real-world AI systems more efficiently with scalable, reliable data tooling.

Company size
201-500
Company stage
Series C
Total funding
$107.1M
Headquarters
London, United Kingdom
Founded
2020

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