Data Engineer, Marketing at OpenAI

San Francisco, California, United States

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$255,000 – $405,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

3+ years of experience as a Data Engineer and 8+ years of overall software engineering experience (including data engineering)
Proficient in Python, Scala, or Java for data engineering
Experience with distributed processing technologies (e.g., Hadoop, Flink) and distributed storage systems (e.g., HDFS, S3)
Skilled with ETL orchestration tools such as Airflow, Dagster, or Prefect
Solid understanding of Spark, including writing, debugging, and optimizing Spark code
Familiarity with marketing data sources (e.g., ad platforms, attribution systems, CRM, web analytics)

Responsibilities

Design, build, and manage pipelines that integrate marketing and partnership data into the data warehouse
Develop canonical datasets to track key business metrics such as spend, LTV, CAC, ROI, and incremental performance
Partner with Marketing, Partnerships, Data Science, Finance, and Product teams to understand data needs and deliver scalable solutions
Implement robust systems for data ingestion and processing across multiple channels
Participate in data architecture and engineering decisions that define the foundation for marketing analytics
Ensure the security, integrity, and compliance of data according to industry and company standards

Skills

Data Pipelines

Data Warehousing

Data Integration

SQL

Data Modeling

ETL

Data Architecture

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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