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Data Engineer, People Innovation Labs

OpenAI

San Francisco, USremote country$293k-$325k/yrPosted May 13, 2026

At a glance

Highlights

  • AI-driven people products
  • Impactful data infrastructure
  • Collaboration with LLMs
  • Fast-moving engineering team

Why this role might suit you

The position enables shaping AI-powered people products at a leading research organization, offering exposure to large-scale data systems and strategic influence across the company.

Skills

pythonscalajavadatabrickssnowflakeairflowdagsterprefectsparkhadoopflinkhdfss3etldata-pipelinedata-architecturefault-tolerancesecurity-compliance

About the role

About the Team

At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

About the Role

We are looking for a hands-on engineering manager to lead technical and product strategy and execution for People Innovation Labs’ OpenHouse pod. OpenHouse is our flagship employee-facing product, serving as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. The OpenHouse pod is composed of full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership to build and grow the team and OpenHouse product, innovating on how we apply LLMs along the way.

We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics.

One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work.

In this role, you will:

- Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.

- Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.

- Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity to understand their data needs and provide solutions.

- Implement robust and fault-tolerant systems for data ingestion and processing.

- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear as the primary data engineering expert on the team.

- Ensure the security, integrity, and compliance of data according to industry and company standards.

Your background might look something like:

- Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).

- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

- Experience with data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.

- Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

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.

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.

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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

This Data Engineer role pays $293k-$325k/yr. Within typical range for data engineer roles in United States.

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