Engineering Manager, Financial Data Quality

OpenAI • San Francisco, CA

10h

About The Position

Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.
We’re looking for a Senior Engineering Manager to own Financial Data Quality. You’ll lead a team spanning Software Engineers and Data Engineers to ensure our financial data remains consistent, fresh, and accurate as we evolve our billing systems and integrate with additional vendors. We partner across Finance and go-to-market (GTM) functions to ensure financial data is accurate, consistent, and usable—especially as we evolve our systems architecture and scale.

Requirements

• Have managed teams that include software engineers who build/modify core systems as well as data-focused engineers—especially in domains where correctness matters.
• Have a passion for data, think of data as a product itself, and can act as that product owner.
• Are strong in SQL and data concepts, and can reason about data modeling, validation, lineage, and reliability.
• Have experience with system migrations, reducing vendor dependency, or integrating multiple providers/sources into a consistent set of metrics.
• Communicate effectively with Finance and GTM stakeholders, translating needs into technical plans and delivering outputs (ie. dashboards, curated tables, exports, APIs, etc.).
• Care deeply about operational excellence: monitoring, incident response, and building resilient systems.

Responsibilities

• Own financial data quality end-to-end (consistency, freshness, accuracy) across billing, revenue, and related financial data flows.
• Drive the strategy and execution to bring systems and data capabilities in-house, reducing dependence on external vendors while maintaining operational rigor.
• Partner with stakeholders across Finance and GTM to define data needs, deliver outputs in expected formats, and ensure data reliability as systems evolve.
• Establish mechanisms for data quality monitoring, validation, and observability, so issues are detected quickly and trust in metrics remains high.
• Ensure our data model and reporting outputs support both operational needs and finance workflows at scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1-10 employees