Location:
(
San Francisco
,
CA
)
Salary:
$
325k
- $
485k
Every major business has an in-house legal team. Those lawyers are chronically overworked—80-hour weeks, crushing deadlines, and contract-reading death marches are industry norms. Until recently, technology offered little relief. Large language models changed that. This organization builds an AI-native platform purpose-built to eliminate legal drudgery and give legal professionals their lives back. Customers love the product: despite fierce competition, the platform holds the highest trial win rate in the market at 85%. The company launched early access in 2023, has since 6x’d annual recurring revenue, and serves clients including Uber, Reddit, IBM, Canva, Pinterest, and WordPress.
The software solves complex problems at scale, and backend engineers make that possible. This role focuses on building the foundational systems that process millions of contracts reliably, orchestrate advanced AI workflows, and deliver the most accurate search and retrieval capabilities available.
What the role owns:
Who they are looking for:
The ideal candidate brings strong backend engineering experience in production environments. They should be comfortable designing distributed systems, working with large datasets, and making pragmatic trade-offs between performance and reliability. Experience with LLMs, search technologies (Elasticsearch, vector databases, or similar), or document processing pipelines is a strong plus, but intellectual curiosity and resourcefulness matter most.
The company is likely a strong fit for someone who:
Qualified candidates should submit a resume along with a brief note describing a backend system they built or maintained that processed data at significant scale—and what architectural decisions they made to keep it reliable.