Workday Engineer
openai
Job Score
100 ptsAbout the Team
OpenAI's People team helps hire, develop, and support the people building safe and beneficial AGI. Within that team, People Systems builds the technical foundation that enables our HR, recruiting, payroll, benefits, and performance operations to scale with quality, speed, and rigor.
We work at the intersection of HR systems, software engineering, and internal tooling. Our goal is not just to keep core systems running, but to build durable technical leverage for the company.
About the Role
We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI.
This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems.
You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline.
You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch.
In this role, you will
Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management
Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices
Build technical solutions that connect Workday with internal platforms, external vendors, and AI-powered tooling
Contribute to more agentic internal workflows by helping design systems that combine HR data, automation, orchestration, and intelligent tooling
Use Git-based development practices, code review, and structured change management to deliver safely in a fast-moving environment
Use CLI-based tools and developer workflows to build, test, troubleshoot, and support production systems efficiently
Partner with stakeholders across People, Finance, Security, and Engineering to translate business needs into durable technical solutions
Establish and raise standards for observability, security, supportability, and long-term maintainability across the People systems stack
You might thrive in this role if you have
5-10 years of experience in Workday engineering, integrations, platform automation, or adjacent systems engineering roles
Strong hands-on experience with Workday technologies such as EIB, Studio, Cloud Connect, Extend, reporting, calculated fields, security, and business process design
A track record of building technical solutions beyond administration or configuration alone, including automation, scripting, debugging, and systems design
Comfort working in Git-based environments with modern software development practices
Strong fluency with CLI-based workflows and developer tools
Experience designing and supporting production integrations with a high bar for reliability, security, and data quality
Strong problem-solving skills and the ability to work through ambiguous technical and operational challenges
The ability to work effectively with both technical and non-technical partners
Interest in agentic systems, AI-enabled internal tooling, or LLM-powered workflow design
Nice to have
Experience integrating Workday with finance systems, identity systems, recruiting tools, case management platforms, or internal developer platforms
Experience with observability, alerting, and production support for business-critical workflows
Experience building internal tools or automation frameworks in high-growth environments
Familiarity with secure systems design and governance in environments handling sensitive employee data
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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The Tech Recruiter is a professional specialized in recruiting technology talent, from developers to AI engineers and DevOps professionals. They combine technical knowledge with recruitment skills to evaluate and attract highly qualified candidates.
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Tech Recruiters are scarce and highly paid professionals, especially those who can map and access passive talent in competitive markets like AI, data engineering, and cloud computing.
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Key skills include recruitment and selection, compensation and benefits management, learning and development (L&D), organizational climate, employee engagement, labor law, labor relations, and HR tools (Workday, SAP SuccessFactors, Bamboo HR). Knowledge of people analytics and data-driven HR is a differentiator.
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About People Analyst
The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.
Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.
People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.
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