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.
We're hiring a Senior Analytics Engineer to own two domains: product analytics and customer success.
As Eve ships faster and the customer base grows, more people are asking whether a feature is landing, whether an account is healthy, and why a renewal slipped. Today the answer depends on who asks and which tool they open. Your job is to make every product and customer metric resolve to one governed definition: weekly active usage, adoption depth by feature, launch performance, customer health, onboarding time-to-value, net revenue retention, churn, and expansion.
Product and Customer Success are your stakeholders, and both are full domains. PMs tracking adoption and launch health. CS and RevOps working health scores, renewal risk, and expansion. The interesting work sits where they meet, since usage behavior is the best early signal of whether an account renews, and nobody can see that today.
You'll work on our central team and report to the Head of Data Engineering, who reports directly to the CEO. Data is a first-class function at Eve and the fuel to drive our future growth.
What You'll DoModel product and customer success
- Build the models that track product usage, feature adoption, and launch performance: WAU and MAU, adoption depth by feature, launch cohort analysis
- Build the models CS runs on: customer health, onboarding and time-to-value, renewal risk, and expansion, sourced from your CS platform, support and ticket data, and lifecycle systems alongside product usage
- Own NRR, churn, and expansion as governed definitions, built from the health, usage, and lifecycle signals underneath them, and reconcile with how Finance reports the same revenue movement
- Design the semantic models connecting usage behavior to customer outcomes, so CS can see which behaviors actually predict renewal rather than guessing
- Build on the foundational layer the data engineers own: source-to-staging models and conformed dimensions.
- Work inside the certification framework and modeling standards the team sets, and help shape them as they evolve
- Partner with Product on the event taxonomy and tracking plan, so product analytics rests on instrumentation someone actually owns
- Instrument your models against the team's alerting so failures and drift surface before a stakeholder finds them
- Maintain documentation of the models, metrics, and definitions you own
Partner and build
- Sit with stakeholders across Product and Customer Success to turn open questions into durable models rather than one-off answers
- Partner with analysts contributing models in your domains, designing with them where it helps and reviewing what they ship
- Stand up internal AI agents and data-grounded tools that give stakeholders a direct, trustworthy answer without waiting on a ticket
- Build the skills and agents that speed up your own work, and contribute the ones that generalize back to the team's shared library
- Build patterns in Omni and Hex that stakeholders can actually use on their own
- Scope requirements and carry projects through the full lifecycle
What We're Looking For
- 5+ years in analytics engineering, owning projects end to end
- Strong SQL, data modeling, and transformation, with dbt expertise: advanced modeling patterns, macros, packages, and testing. Experience building SCD tables from multiple sources
- Working knowledge of the modern stack: Snowflake, dbt, and a semantic or BI layer such as Omni or Hex
- Experience modeling product usage and event data, and the instrumentation behind it (Amplitude, Mixpanel, Pendo, or similar)
- Experience modeling customer lifecycle and retention data: health scoring, renewal risk, NRR, churn, and expansion, from CS platforms and support systems
- Experience designing semantic models or metric layers for human and AI consumption
- You've taken an ambiguous stakeholder question and turned it into a model that kept answering after the person who asked moved on
- Proficiency with AI-assisted development such as Claude Code, including agentic pipeline design and skill-based workflows, and comfort integrating tools via MCP servers
- Strong communication, including the ability to distill technical solutions into business terms, and comfort building where the playbook doesn't exist yet
Nice to haves:
- Experience in a regulated or high-sensitivity data environment (legal, healthcare, financial services)
- Experience where product usage data drove a retention or expansion motion, not just a dashboard
- B2B SaaS, especially selling to small and mid-sized businesses or professional services firms
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. 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.
Skills Required
- 5+ years of experience in analytics engineering, owning projects end to end
- Strong SQL, data modeling, and data transformation skills
- Expertise with dbt, including advanced modeling patterns, macros, packages, and testing
- Experience building slowly changing dimension tables from multiple sources
- Working knowledge of Snowflake and a semantic or BI layer such as Omni or Hex
- Experience modeling product usage and event data and its instrumentation
- Experience with product analytics tools such as Amplitude, Mixpanel, Pendo, or similar
- Experience modeling customer lifecycle and retention data, including health scoring, renewal risk, NRR, churn, and expansion
- Experience working with customer success platforms and support systems
- Experience designing semantic models or metric layers for human and AI consumption
- Ability to turn ambiguous stakeholder questions into durable data models
- Proficiency with AI-assisted development such as Claude Code, agentic pipeline design, and skill-based workflows
- Comfort integrating tools through MCP servers
- Strong communication skills and ability to explain technical solutions in business terms
- Experience in a regulated or high-sensitivity data environment such as legal, healthcare, or financial services
- Experience using product usage data to drive retention or expansion initiatives
- B2B SaaS experience, especially with small and mid-sized businesses or professional services firms
What the Team is Saying
Eve Compensation & Benefits Highlights
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Healthcare Strength — Medical, dental, vision, and life insurance are included alongside short- and long-term disability, indicating broad coverage. Public company materials and employer profiles consistently enumerate these benefits for full-time roles.
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Retirement Support — A 401(k) plan with company match is explicitly advertised across the careers page and job postings. This elevates the total rewards package beyond typical early-stage startup offerings.
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Equity Value & Accessibility — Compensation includes meaningful company equity in addition to competitive salary, with multiple postings stating equity is available to team members. This positions ownership as a core component of total compensation.
Eve Insights
What We Do
Eve Legal is pioneering the future of legal technology by focusing on AI-driven solutions that empower plaintiff-side law firms. With a robust platform designed for efficiency and effectiveness, Eve leverages artificial intelligence to streamline case analysis, enhance decision-making, and optimize client outcomes. Our mission centers on providing attorneys with the tools needed to stay competitive and navigate the legal landscape effectively, especially in an era where demands on legal professionals continue to grow. Eve’s commitment to innovation is evident in their focus on speed, scalability, and reliability. The platform supports legal teams in managing high caseloads with fewer resources, reducing the time spent on routine tasks, and enhancing the ability to focus on high-impact work. Through deep industry insights and a user-centric approach, Eve is setting a new standard in legal tech by combining technical excellence with a nuanced understanding of the plaintiff-side practice needs. With a core belief in elevating legal practices through visionary tools, Eve is committed to reshaping the way legal professionals serve their clients, improving access to justice, and fostering a more efficient legal ecosystem.
Why Work With Us
You’ll join a high-performing team that thrives on collaboration, grit, and innovation. We value excellence, visionary thinking, and elevation as we tackle ambitious goals. Enjoy a supportive, growth-oriented environment with a robust benefits package, where everyone’s contributions are valued, and real impact in legal tech is made together.
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Eve Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are located at a beautiful office on 3rd Ave in the heart of San Mateo and 2 blocks from Caltrain. Some of our teams are remote while others have a hybrid model of coming into the office 3 days/week and remote 2 days/week.
