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
- Model, track, and allocate LLM API and Compute costs (OpenAI, Anthropic, etc.) by product feature, customer segment, and use case
- Build unit cost metrics for document processing (OCR, ingestion pipelines) and map them to revenue-generating workflows
- Identify and size optimization opportunities; drive accountability on cost reduction initiatives with clear ROI framing
- Build dashboards and alerting so cost anomalies surface in real time, not at month-end
What We're Looking For
- 6-15 years of total work experience, including 3+ years in investment banking, private equity, and/or venture capital, paired with 3+ years of strategic finance/FP&A at a high-growth technology company.
- Direct experience with Product Finance, specifically modeling COGS, gross margins, and/or cloud infrastructure costs.
- Demonstrated expertise in pricing analysis or business model transformation (e.g., moving from seats to usage-based pricing).
- Strong quantitative skills, with the ability to build complex, multi-variable models from scratch.
- Exceptional communication skills, specifically the ability to explain financial trade-offs to highly technical engineering and product leaders.
- High degree of empathy and tact required to manage departmental budgets and resource allocation across sensitive corporate functions.
Preferred Qualifications
- Bachelor’s degree in Finance, Mathematics, Engineering, or other STEM field
- Experience in a SaaS company with a subscription and/or usage-based business model.
- Familiarity with AI model/LLM token costs and cloud hosting (AWS, Azure, or GCP).
- Experience with using modern FP&A software (e.g., Pigment, Aleph).
Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.
US Base Salary Range
$150,000 - $225,000 USD
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.
