Finance Systems Integration Lead
Scale AI · San Francisco, CA
CHECKED 13H AGO
Infrastructureonsitesenior
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