Principal GTM Analytics Architect

Eve; United States; Remote; USD 220,000 - 250,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) Program with Employer Matching

Health, Dental, Vision and Life Insur

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

Job summary

Eve is seeking a Principal Analytics Engineer to own Eve's go-to-market data model and set the standard for analytics across the org. You will unify metrics like pipeline, funnel, CAC, win rate, and revenue across HubSpot, DealHub, Apollo, and Clay in the warehouse and semantic layer.

You'll certify definitions, define patterns in Omni/Hex, mentor engineers, and collaborate with Sales, Marketing, CS, and RevOps to turn open questions into durable, AI-ready models.

Qualifications

• 8+ years in analytics engineering, including time at a staff or senior IC level setting technical direction.
• Extensive proficiency in SQL, data modeling, and transformation, with deep dbt expertise: advanced modeling patterns, macros, packages, and testing.
• 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.
• 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.
• Strong communication, a habit of mentoring, and comfort building where the playbook doesn't exist yet.

Responsibilities

• Partner with analysts and stakeholders to build models powering Eve's GTM decisions: pipeline, funnel, campaign, and revenue.
• Design semantic models for core GTM SaaS metrics and own deployment as the trusted foundation for analytics and AI consumption.
• Build on the foundational layer the data engineers own: source-to-staging models and conformed dimensions.
• Instrument models with alerting to surface failures and drift before stakeholders notice.
• Maintain documentation of models, metrics, and definitions you own.
• Stand up internal AI agents and data-grounded tools delivering trusted answers to GTM stakeholders.

Skills

SQL

Data modeling

dbt

Snowflake

Omni/Hex semantic layer

Mentoring

Communication

AI-assisted development

Tools

Claude Code

Job description

Eve is seeking a Principal Analytics Engineer to own Eve's go-to-market data model and set the standard for analytics across the org. You will unify metrics like pipeline, funnel, CAC, win rate, and revenue across HubSpot, DealHub, Apollo, and Clay in the warehouse and semantic layer.

You'll certify definitions, define patterns in Omni/Hex, mentor engineers, and collaborate with Sales, Marketing, CS, and RevOps to turn open questions into durable, AI-ready models.