- Location
- Anywhere in the US
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Experience
- 8+ years
- Source
- Lever
Description
Trellis (https://trellis.law/) is the largest legal research platform for state trial courts, with coverage spanning thousands of courts and millions of cases across the U.S. We aggregate and structure trial court filings, rulings, motions, and outcomes into a unified, searchable platform, combining large-scale data infrastructure with AI-powered analysis to extract, organize, and surface insights across that data. This makes large-scale trial court research possible for the first time.
Our tools enable attorneys to analyze judge tendencies, evaluate opposing counsel, find and assess expert witnesses, and see which arguments and strategies have succeeded in similar cases, so they can assess risk earlier, save time on research, and develop more effective, data-backed case strategies.
We’re revolutionizing the way legal professionals access and use trial court data to make informed decisions. As we scale, we’re looking for a thoughtful and execution-focused Product Designer to help shape the future of our product experience.
About the Role:
Trellis is looking for a Full-Stack Team Lead to help lead the development of high-impact, user-facing products across our platform. This is a highly hands-on role, with roughly 70% of your time focused on building and 30% focused on team leadership, issue triage, and people management.
You’ll work closely with Product and Design to transform large, complex legal datasets into intuitive products, workflows, and analytics that help our customers make better decisions. You’ll own meaningful projects across the back-end and front-end, guide engineers through technical execution, and help create a clear, focused environment for the team by filtering priorities, unblocking work, and developing talent.
This role is ideal for someone who wants to stay close to the code while also mentoring engineers, improving team execution, and helping shape the quality and direction of our product.
Our tech stack includes Python, Django, Postgres, Elasticsearch, Vue, vanilla JavaScript, and AWS.
