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채용OpenAI

Engineering Manager, Financial Data Quality

OpenAI

Engineering Manager, Financial Data Quality

OpenAI

San Francisco

·

On-site

·

Full-time

·

3w ago

필수 스킬

SQL

Go

About the Team:

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.

About the Role:

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.

What You’ll Do:

  • 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.

You Might Thrive in This Role If You:

  • 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.

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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.

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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

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.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

OpenAI 소개

OpenAI

OpenAI

Series C

Creating safe AGI that benefits all of humanity.

1,500+

직원 수

San Francisco

본사 위치

$80B

기업 가치

리뷰

3.5

4개 리뷰

워라밸

3.0

보상

2.8

문화

4.2

커리어

4.3

경영진

2.5

65%

친구에게 추천

장점

Culture of innovation and continuous learning

High pay depending on expertise

Intellectually stimulating experience

단점

Lack of communication and oversight

Did not receive payment for work

Management issues

연봉 정보

67개 데이터

Senior/L5

Staff/L6

Senior/L5 · Member of Go To Market Staff

10개 리포트

$322,000

총 연봉

기본급

$280,000

주식

-

보너스

-

$207,000

$333,500

면접 경험

4개 면접

난이도

3.5

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Recruiter Outreach

2

Technical Phone Screen

3

Take-home Assignment

4

5-person Panel Interview