Data Systems Analyst

About the team

OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our GTM Systems team is responsible for equipping and enabling the Go To Market (GTM) as they seek to help customers learn how to leverage and deploy our highly capable AI products across their business. The GTM team is made of Sales, Technical Success, and Support that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. We are seeking a dynamic and experienced CRM Data Quality Lead to establish an evolving practice intended to safeguard the accuracy and reliability of critical data in Salesforce.

The Data Systems Analyst is a key contributor within OpenAI's GTM Systems organization, responsible for translating the Data Systems Manager's strategy into well-defined requirements, clear solution designs, and reliable data workflows across Salesforce. In this role, you will execute against an established data and enrichment roadmap - ensuring that scoped work is accurately delivered, operationally sound, and aligned with the data standards and priorities set by the Data Systems Manage

In this role, you'll:

• Own the daily operational backbone of the Data Systems practice-executing and maintaining CRM, enrichment, routing, and field-level changes across Salesforce, Clay, and Hightouch to ensure predictable, stable data flows.

• Monitor, troubleshoot, and continuously improve enrichment jobs, declarative automation (Flows, validation rules, routing logic), and data pipelines that power segmentation, qualification, routing, and downstream GTM systems.

• Deliver reliable, high-quality configuration updates by scoping requests accurately, executing changes safely, validating outcomes, and communicating progress and risks to GTM Systems, Field Ops, Revenue Strategy, and Business Data partners.

• Manage daily and weekly operational queues, including enrichment hygiene, data corrections, and configuration adjustments-ensuring predictable, on-time delivery aligned to priorities set by the Data Systems Manager.

• Partner closely with cross-functional teams to diagnose data drift, enrichment failures, routing anomalies, and workflow breakpoints-providing clear analysis, proposed fixes, and timely follow-through.

• Uphold and apply data and configuration standards set by the Data Systems Manager-ensuring every change you make protects data quality, avoids regressions, and reinforces durable operational integrity.

• Document data behaviors, enrichment patterns, routing logic, and configuration changes to strengthen team knowledge, improve auditability, and support GTM Systems' scaling efforts

You might thrive in this role if you have:

• Deep, hands-on experience with Salesforce Sales Cloud and declarative automation (Flows, validation rules, routing logic), with a strong foundation in data accuracy and operational data management.

• Proven ability to operate in a fast-paced, high-volume environment-executing configuration changes, troubleshooting issues, and managing daily technical tasks with precision and urgency.

• Comfortable running and monitoring enrichment jobs, data loads, and CRM workflows end-to-end, diagnosing failures quickly, and delivering reliable fixes without requiring strategic guidance.

• Experience partnering with GTM, Ops, and cross-functional teams to resolve data or workflow issues in real time-communicating clearly, escalating appropriately, and keeping work unblocked.

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.

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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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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.

Compensation Range: $240K