Staff Analytics Engineer - GTM Data & Metrics Leader

eve; United States; Remote; USD 225,000 - 305,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer matching

Commuter benefits

Telecomm stipend

Flexible time off

Job summary

eve is seeking a Staff Analytics Engineer to own and unify the go-to-market data model powering revenue decisions on a fast-scaling AI platform for law firms. The role sits on a central data team reporting to the Head of Data Engineering, aiming to eliminate conflicting metric definitions and build a trusted data foundation.

You will mentor analytics engineers, define semantic standards, and build AI-grounded tools to deliver trustworthy answers to stakeholders without tickets.

Qualifications

• 8+ years in analytics engineering, including time at a staff or senior IC level setting technical direction others followed.
• Deep dbt expertise (advanced modeling patterns, macros, packages, testing) plus SCD-type tables from multiple sources, alongside strong SQL and transformation skills.
• Expert command of a modern stack including Snowflake, dbt, and a semantic or BI layer such as Omni or Hex.
• Experience designing semantic models or metric layers for both human and AI consumption.
• Hands-on experience modeling GTM systems built on HubSpot, Salesforce, or comparable CRM and marketing automation platforms.
• Track record resolving cross-team "the numbers don't match" disputes and unifying everyone behind a single definition.

Responsibilities

• Partner with analysts and stakeholders across Sales, Marketing, Customer Success, and RevOps to build and maintain GTM models covering pipeline, funnel, campaigns, and revenue, sourced from CRM and marketing automation systems into the warehouse and semantic layer.
• Design semantic models for core SaaS metrics including pipeline coverage, funnel conversion, CAC, win rate, sales cycle time, ARR, and bookings.
• Define and own the metrics certification framework and catalog, deciding what qualifies as a governed definition and arbitrating conflicts when teams define the same thing differently.
• Establish modeling standards, testing patterns, and semantic layer conventions that other analytics engineers and contributing analysts build inside.
• Instrument models against the team's alerting so failures and drift surface before stakeholders notice, and maintain documentation for owned models and definitions.
• Mentor analytics engineers, set the technical bar, and stand up AI-grounded internal tools that let stakeholders get trustworthy answers without filing tickets.

Skills

Analytics engineering

dbt expertise

SQL

Data modeling

Mentoring

Cross-team communication

Tools

Snowflake

dbt

Omni

Hex

Job description

eve is seeking a Staff Analytics Engineer to own and unify the go-to-market data model powering revenue decisions on a fast-scaling AI platform for law firms. The role sits on a central data team reporting to the Head of Data Engineering, aiming to eliminate conflicting metric definitions and build a trusted data foundation.

You will mentor analytics engineers, define semantic standards, and build AI-grounded tools to deliver trustworthy answers to stakeholders without tickets.