Data Engineering Manager at OpenAI

San Francisco, California, United States

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$405,000 – $490,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

10+ years of experience in data engineering, including significant leadership experience building and scaling high-performing teams
Successfully built or scaled modern data platforms and pipelines in high-growth, dynamic environments
Passionate about building trustworthy, secure, and operationally excellent data systems
Skilled at partnering across technical and non-technical teams to drive meaningful product and business outcomes
Comfortable leading through ambiguity and setting technical strategy in rapidly evolving environments
Strong technical expertise in one or more programming languages commonly used in data engineering (e.g., Python, Scala, Java)

Responsibilities

Build, manage, and grow a diverse, high-performing Data Engineering team
Define and deliver the data strategy for major product and business domains
Guide data architecture and infrastructure decisions to ensure scalability, reliability, and trustworthiness
Partner closely with teams across Product, Engineering, Data Science, Finance, and Research to understand data needs and deliver impactful solutions
Develop robust, secure, and fault-tolerant systems for data ingestion, transformation, and delivery
Champion data quality, governance, and privacy practices that uphold OpenAI’s highest standards

Skills

Key technologies and capabilities for this role

Data PipelinesData ArchitectureData InfrastructureScalabilityReliabilityAnalyticsData StrategyETLData ModelingTeam Leadership

Questions & Answers

Common questions about this position

What is the salary range for the Data Engineering Manager position?

The salary range is $405K - $490K.

Is this role remote or based in an office?

This role is based in our San Francisco office.

What experience and skills are required for this role?

Candidates need 10+ years of data engineering experience including leadership, expertise in building modern data platforms and pipelines, strong skills in programming languages like Python, Scala, or Java, and ability to partner across teams in dynamic environments.

What is the team and work environment like at OpenAI?

The Data Engineering team builds scalable, secure systems for analytics, safety, growth, and model development, partnering closely with Product, Engineering, Data Science, Finance, and Research teams in a high-growth environment focused on trustworthy data practices.

What makes a strong candidate for this Data Engineering Manager role?

Strong candidates have 10+ years in data engineering with leadership experience scaling teams, success building data platforms in high-growth settings, passion for secure systems, cross-team partnership skills, and comfort leading through ambiguity with technical expertise in languages like Python.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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