Staff Backend Engineer, Internal Products

Stack

Responsibilities

• ▹Unify the internal beta access, evaluation, regression, and dataset discovery/cataloging products into one maintainable system
• ▹Build a secure access layer over very large data across cloud environments, at petabyte scale, with proper access controls and PII handling
• ▹Integrate feedback and usage data from the self-serve product so datasets and evaluations are grounded in real customer behavior
• ▹Support the product org's internal agentic content curation tool, moving it from prototype toward a hardened, access-controlled system for wider use

Requirements

• ▹Strong backend engineering depth in at least one language (Python, Go, or similar)
• ▹Genuine system design instinct: can take an ambiguous problem and make defensible architectural calls
• ▹Track record of building zero-to-one internal products and shipping them
• ▹Experience with large unstructured datasets
• ▹Comfortable owning a product end-to-end as the primary or sole engineer

Nice to have

• ▹Data platform, lakehouse, or pipeline experience across object storage, warehouses, and more than one cloud
• ▹Experience reasoning about multimodal unstructured data (video, audio, images, text)
• ▹Experience building or integrating AI agents, MCP servers, retrieval systems, or evaluation tooling
• ▹Data governance, access control, or PII handling on production data

Soft skills

What we offer

• ▹Open and inclusive culture and work environment
• ▹Collaboration with a mission-driven team on cutting-edge AI technology
• ▹Full health, dental, and vision benefits
• ▹Flexible PTO and parental leave policy
• ▹Office closed the week of Christmas and New Year's

About the company

TwelveLabs builds multimodal foundation models that understand video the way humans do. Headquartered in San Francisco with offices in Seoul, New York, and London, the company has raised more than $210 million from investors including NEA, Radical Ventures, Amazon, and NVIDIA.