Job Description
Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations automations and AI agents that streamline workflows across Finance Accounting People and Recruiting.
In this role you will work closely with stakeholders across Finance Accounting People Operations and Recruiting to understand their workflows and build integrations automations and agentic workflows that reduce manual effort and accelerate execution across these teams.
You will leverage our internal data infrastructure system integration tooling and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency.
We’re looking for someone who thrives on connecting systems automating repetitive processes and pushing toward more autonomous AI-assisted operations. You should be comfortable navigating ambiguity designing solutions that scale and rigorously validating outcomes end to end.
What You’ll Do- 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 the implementation of end-to-end workflows from requirements through deployment and validation
- Automate candidate-to-employee transitions (e.g. Greenhouse → HRIS → 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 the underlying 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 Ops Recruiting and Finance stakeholders
- 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.) - Workato Certification is big plus
- 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 (e.g. validation retries guardrails) is a plus
Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position determined by work location and additional factors including job-related skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including but not limited to: Comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- 5+ years of experience building integrations and automation workflows across business systems
- Hands-on experience with an iPaaS platform
- Experience building or experimenting with AI-powered workflows
- Experience integrating Finance systems
- Strong problem-solving skills and ability to operate independently
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
- Healthcare Strength—Healthcare coverage is described as comprehensive across medical dental and vision with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
- Equity Value & Accessibility—Equity-based compensation is included in eligible packages positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
- Leave & Time Off Breadth—Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.
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Date Posted
05/13/2026
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