The Role Own Eve's go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers. Summary Generated by Built In 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. The Role We're hiring a Staff Analytics Engineer to own Eve's go-to-market data model and set the standard the rest of the analytics engineering team works inside. The number of people asking the data a question is growing faster than the business, and the business is doubling. Today the same question can produce different answers depending on who asks and which tool they open. Your job is to make every core GTM metric resolve to one governed definition: pipeline generated, funnel conversion, CAC, win rate, sales cycle length, ARR and bookings, modeled in the warehouse and semantic layer from HubSpot, DealHub, Apollo, and Clay rather than inside those tools. As the Staff engineer, GTM is your domain but not your limit. You'll own the certification framework and catalog that determine what counts as trusted across every domain, set the modeling standards other analytics engineers and analysts build inside, and make the calls when two teams define the same thing differently. Your users span analysts and stakeholders across Sales, Marketing, CS, and RevOps. 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 Do Model GTM Partner with analysts and stakeholders to build the models that power Eve's GTM decisions: pipeline, funnel, campaign, and revenue, sourced from HubSpot, DealHub, Apollo, and Clay and built in the warehouse and semantic layer rather than inside those tools Design semantic models for core GTM SaaS metrics (pipeline coverage, funnel conversion, CAC, win rate, sales cycle time, ARR and bookings), then own deploying and maintaining them as the trusted foundation for both analytics and AI consumption Build on the foundational layer the data engineers own: source-to-staging models and conformed dimensions. 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 Stand up internal AI agents and data-grounded tools that give GTM stakeholders a direct, trustworthy answer without waiting on a ticket Set the standard Own the metrics certification framework and catalog: what qualifies as a governed definition, who owns it, and how a stakeholder can tell at a glance Define the modeling standards and semantic layer patterns every analytics engineer and contributing analyst works inside Partner with analysts building on the semantic layer, and own the certification call on what becomes a governed definition Arbitrate when two teams define the same metric differently, and make the call stick Establish patterns and standards for analytical application development in Omni and Hex Sit with stakeholders across Sales, Marketing, and Customer Success to turn open questions into durable models rather than one-off answers Mentor analytics engineers and set the technical bar for how analytics engineering gets done at Eve What We're Looking For 8+ years in analytics engineering, including time at a staff or senior IC level setting technical direction others followed Extensive proficiency in SQL, data modeling, and transformation, with deep dbt expertise: advanced modeling patterns, macros, packages, and testing. Experience building SCD tables from multiple sources Expert knowledge of the modern stack: Snowflake, dbt, and a semantic or BI layer such as Omni or Hex Experience designing semantic models or metric layers for human and AI consumption Experience modeling GTM systems (HubSpot, Salesforce, or similar CRM and marketing automation platforms) You've resolved a "these numbers don't match" problem across teams that each believed their version, and can describe how you got everyone to one definition Experience setting modeling standards others follow, and reviewing contributions from people outside your team 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, a habit of mentoring, 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 enabling analysts outside the core team to contribute production models B2B SaaS, especially selling to small and mid-sized businesses or professional services firms For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Eve and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. US Salary Range $226,000 — $265,000 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

•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. 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. Read Full Description Skills Required 8+ years of experience in analytics engineering, including staff or senior individual contributor experience Advanced proficiency in SQL, data modeling, and data transformation Deep dbt expertise, including advanced modeling patterns, macros, packages, and testing Experience building slowly changing dimension tables from multiple sources Expertise with Snowflake and a semantic or BI layer such as Omni or Hex Experience designing semantic models or metric layers for human and AI consumption Experience modeling go-to-market systems such as HubSpot, Salesforce, or similar CRM and marketing automation platforms Experience resolving conflicting metric definitions across teams Experience establishing modeling standards and reviewing contributions from outside the core team Proficiency with AI-assisted development such as Claude Code and agentic pipeline design Experience integrating tools through MCP servers Strong communication, mentoring ability, and comfort working without an established playbook Experience in a regulated or high-sensitivity data environment such as legal, healthcare, or financial services Experience enabling analysts outside the core team to contribute production models B2B SaaS experience, particularly selling to small and midsized businesses or professional services firms What the Team is Saying Fabi Ramirez Account Executive As a founding team member at Eve (employee #9), I've had the opportunity to grow alongside the company from the very beginning. I started as an SDR, helped build our Customer Success organization, and later moved back into Sales to drive new logos and expand existing accounts. Being part of a true startup journey has meant contributing to market research, shaping processes from the ground up, and growing through hands on mentorship. What keeps me here is the culture and our shared passion for delivering the best AI product to plaintiff firms so legal professionals can focus on pursuing justice Fabi Ramirez Account Executive As a founding team member at Eve (employee #9), I've had the opportunity to grow alongside the company from the very beginning. I started as an SDR, helped build our Customer Success organization, and later moved back into Sales to drive new logos and expand existing accounts. Being part of a true startup journey has meant contributing to market research, shaping processes from the ground up, and growing through hands on mentorship. What keeps me here is the culture and our shared passion for delivering the best AI product to plaintiff firms so legal professionals can focus on pursuing justice Aiden Kaplan Sales Development Rep Working at Eve Legal has set the standard for what a great team looks like. Across the company, people are focused on winning together, not just individually. There is a strong sense of ownership and pride in the outcomes we deliver for customers and for each other. Collaboration is real and visible every day, with teams constantly supporting one another and sharing ideas. Leadership is present, thoughtful, and invested in employees' growth, which makes a big difference. It has been an incredibly positive experience and a place I highly recommend. Eve Compensation & Benefits Highlights Healthcare Strength — Health coverage is consistently described as comprehensive, including medical, dental, vision, life insurance, and short- and long-term disability. Feedback suggests this breadth meets or exceeds typical startup offerings. Retirement Support — Retirement benefits include a 401(k) program with employer matching. Feedback suggests this is a notable inclusion for a startup and strengthens overall total compensation. Equity Value & Accessibility — Equity is positioned as meaningful and available to all employees alongside competitive salaries. Feedback suggests this ownership component is a core part of the package. Learn more about Eve's Compensation & Benefits → Eve Insights What's It Like to Work at Eve? Eve Culture & Values Eve Career Growth & Development What's the Work-Life Balance Like at Eve? Eve Leadership & Management Eve Company Growth, Stability & Outlook View all jobs at Eve View Eve Profile Report Job