Eve
Eve1d ago
New
USD 225000-305000/yr

Staff Analytics Engineer

United StatesUnited StatesRemotelead
Data EngineerData
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Quick Summary

Key Responsibilities

pipeline, funnel, campaign, and revenue, sourced from HubSpot, DealHub, Apollo,

Technical Tools
Data EngineerData

Responsibilities

~1 min read
  • 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

 

  • 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

 

 

  • 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 Have

~1 min read
  • 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
$225,000$305,000 USD

What We Offer

~1 min read

💰 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.

Location & Eligibility

Where is the job
United States
Remote within one country
Who can apply
US

Listing Details

Posted
September 15, 2026
First seen
September 15, 2026
Last seen
September 16, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
87%
Scored at
September 15, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Eve
Eve
greenhouse

Eve Legal provides innovative AI-driven solutions that optimize the case management process for plaintiff law firms, enhancing efficiency and revenue potential.

Employees
30
Founded
2023
Domain
eve.legal
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EveStaff Analytics EngineerUSD 225000-305000