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Scale AI

Supplies AI training data and builds AI apps

Finance Systems Integration Lead

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience building integrations and automation workflows across business systems.
  • Hands-on experience with an iPaaS platform such as Workato, Mulesoft, or Boomi.
  • Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems.
  • Experience designing workflows across employee lifecycle processes, including hiring, onboarding, managing, and offboarding.
  • Experience integrating Finance systems such as NetSuite, Coupa, or similar.
  • Strong problem-solving skills and ability to operate independently in a fast-paced environment.
  • Experience working cross-functionally with business stakeholders.
  • Understanding of designing reliable, production-ready agentic workflows, including validation, retries, and guardrails.

Responsibilities

  • Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting.
  • Identify opportunities to replace manual or rules-based processes with agentic workflows.
  • Partner with stakeholders to translate business processes into scalable, automated solutions.
  • Lead implementation of end-to-end workflows, from requirements through deployment and validation.
  • Automate candidate-to-employee transitions, such as Greenhouse to HRIS to provisioning systems.
  • Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding.
  • Automate approval flows and data synchronization across People, Finance, and Recruiting systems.
  • Support accounting and finance workflows through scalable integrations and automation.
  • Design and implement integrations and data flows that enable reliable automation and agent behavior.
  • Establish and apply best practices for workflow design, monitoring, error handling, and maintainability.
  • Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations.
  • Maintain clear documentation of integrations, automations, and agent behavior.
  • Support adoption of automation and AI-enabled workflows by working closely with People Operations, Recruiting, and Finance stakeholders.

Desired Qualifications

  • Workato certification is a strong plus.
  • Experience working with payroll systems such as ADP, Deel, or Workday is a plus.
  • Experience working with People and Recruiting systems such as Workday, BambooHR, or Greenhouse is a plus.
  • A builder mindset focused on delivering reliable, scalable solutions.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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