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Finance Systems Integration Lead

Scale AI · San Francisco, CA

CHECKED 13H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Build AI agents that streamline Finance, Accounting and People workflows.
  • Automate candidate-to-employee transitions and lifecycle events end to end.
  • Replace manual processes with autonomous, agent-driven operations.

What they offer

  • equity
  • benefits

Ideal candidate

Builder-minded operator who thrives on connecting systems and eliminating manual work. You enjoy partnering with Finance and People teams, navigating ambiguity, and pushing toward autonomous AI-assisted operations.

Requirements

  • 5+ years of experience building integrations and automation workflows across business systems
  • Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.)
  • Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems
  • Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard)
  • Experience integrating Finance systems such as NetSuite, Coupa, or similar
  • Experience working with Payroll systems such as ADP, Deel, Workday is a plus
  • Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus
  • Strong problem-solving skills and ability to operate independently in a fast-paced environment
  • Excellent communication skills and experience working cross-functionally with business stakeholders
  • A builder mindset with a focus on delivering reliable, scalable solutions
  • Understanding of how to design reliable, production-ready agentic workflows is a plus

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗