Staff Analytics Engineer
Quick Summary
pipeline, funnel, campaign, and revenue, sourced from HubSpot, DealHub, Apollo,
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
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*
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
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
Eve Legal provides innovative AI-driven solutions that optimize the case management process for plaintiff law firms, enhancing efficiency and revenue potential.
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