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: 

• Build a scalable library of self-serve resources: video walkthroughs, written guides, quick-reference cards, and interactive tutorials as well as help update and maintain our customer-facing knowledge base.
• Develop role-specific training paths for attorneys, paralegals, and legal operations leads.
• Adopt a consultative approach to customer processes and workflows to help firms seamlessly incorporate Eve into their firm. 
• Run live training webinars for new and existing customers.
• Track engagement with educational content and connect it to product adoption and health metrics.
• Conduct customer calls to answer product questions and drive solutions to any customer concerns and help close gaps for customers who might be getting stuck on their Eve journey.
• Translate customer learning patterns into structured product feedback for the Engineering and Product teams.
• Work with Product to create in-app guidance and contextual help as new features ship.

What We’re Looking For:

• 3+ years in customer education, customer onboarding, customer success, or a closely related role at a SaaS company.
• Experience building training programs and content libraries, not just maintaining them.
• Strong written communication: you can take something complicated and make it clear without losing accuracy.
• Comfortable running live training and webinars with customers.
• Data-oriented: you track what you build and use results to improve it.

Preferred Qualifications:

• Experience in legal tech, legal operations, or working directly with law firms.
• Familiarity with LMS platforms
• Instructional design background or formal training in adult learning.
• Experience at an early-stage company where you had to build before you could scale.

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*

*In office employees only

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.