About Eve
Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast.
Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.
Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Explosive growth: We are growing 2X revenue Quarter over Quarter.
What You'll Do:
- Investigate AI Output Quality: When customers report issues with AI-generated legal documents, you investigate. You’ll use AI observability tooling to trace model inputs, outputs, and reasoning. You’ll verify claims against source documents and determine whether the issue is a retrieval failure, a data ingestion problem, a prompt issue, or expected model behavior. You clearly communicate your findings to non-technical legal professionals.
- Diagnose Technical Issues: Troubleshoot cloud storage sync failures (SharePoint, OneDrive, Dropbox), document formatting and export issues, file handling errors, integration configuration problems, and processing performance issues. Resolve what you can independently and escalate what you can’t with full diagnostic evidence.
- Deliver Engineering-Ready Escalations: Every escalation you send to engineering includes an issue summary, trace logs, verified reproduction steps, document context, and business impact assessment. You set the quality bar for how support communicates with engineering.
- Operate with Speed: Respond to customer support tickets within SLA. Prioritize ruthlessly. Manage multiple threads without dropping context.
- Build the Support Infrastructure: Write SOPs, troubleshooting runbooks, and knowledge base articles. Contribute to our AI agent rollout by optimizing content for AI consumption. Help build the onboarding program for future support engineers. You are joining a team that is actively building its processes, not maintaining them.
- Build with AI: Use AI tools daily to accelerate support workflows — drafting responses, analyzing ticket patterns, and diagnosing product behavior. Help shape how Eve deploys AI agents for first-touch triage and self-service resolution. Define what AI-native support looks like in legal tech.
What We're Looking For:
- AI Debugging Ability: You can investigate why an AI-generated document produced an unexpected result. You’re comfortable navigating AI observability and tracing tooling to understand model behavior. You can distinguish between a retrieval failure, a prompt issue, and a data ingestion problem — and explain the difference to a paralegal.
- Technical Depth: You can read logs, trace API calls, debug OAuth token expirations, diagnose cloud storage sync failures, and reason about what’s happening under the hood of a SaaS product. You don’t need to be a software engineer, but you think like one when troubleshooting.
- Structured Escalation Discipline: You document your work with precision. Your bug reports include trace logs, reproduction steps, relevant context, and a clear classification of the issue type. Engineering can pick up your escalation and start working immediately without asking follow-up questions.
- Exceptional Communication: You can explain complex technical and AI-specific issues to attorneys who don’t care about your stack. You write clearly, concisely, and with empathy. You know when to simplify and when to be precise.
- Ownership Mentality: You take personal responsibility for customer outcomes. You follow through until the problem is solved, not just escalated. You don’t wait to be told what to do.
Preferred Qualifications:
- 3+ years in a technical support, support engineering, or technical customer-facing role at a SaaS company
- Experience supporting AI-powered or ML-driven products, with exposure to LLM observability or evaluation platforms
- Background in legal technology, law firm IT operations, or professional services software
- Familiarity with APIs, webhooks, OAuth, and integration debugging — especially cloud storage integrations (SharePoint, OneDrive, Dropbox)
- Experience writing scripts (Python, JS) to automate support workflows or analyze data
- Comfort with SQL for querying logs or data analysis
- Understanding of prompt engineering concepts, retrieval-augmented generation (RAG), and LLM behavior patterns
- History of contributing to SOPs, runbooks, knowledge bases, or internal tooling that materially improved team performance
- Ability to work independently in a remote environment while collaborating effectively across teams
Benefits
💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits*
🧑💻 Autonomous Work Environment
🖥️ Workplace Setup Reimbursement
🏠 Telecomm Stipend
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks*
Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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