Principal Analytics Engineer
Eve, an AI-native legaltech startup serving plaintiff law firms, is hiring a Staff Analytics Engineer to own its go-to-market data model — building governed pipeline, funnel, CAC, and revenue metrics in Snowflake/dbt and a semantic layer (Omni/Hex) sourced from HubSpot, DealHub, Apollo, and Clay, while setting modeling standards and mentoring the analytics team.
- Compensation
- $220K–$250K / yr
- Location
- Remote - US
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 8+ years in analytics engineering, including staff or senior IC level setting technical direction
- Extensive proficiency in SQL, data modeling, and transformation with deep dbt expertise (advanced patterns, macros, packages, 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)
- Track record resolving cross-team metric definition conflicts to one governed definition
- Experience setting modeling standards others follow and reviewing contributions from outside your team
- Proficiency with AI-assisted development (Claude Code), agentic pipeline design, skill-based workflows, and MCP server integration
- Strong communication, a habit of mentoring, and comfort building where the playbook doesn't exist yet
Nice to have
- 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 experience, especially selling to SMBs or professional services firms
Full description
**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 Principal 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 Principal 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 DoModel 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