Analytics Engineer, Revenue
Job Location:
San Mateo, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
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Job Summary
More than 1800 companies use GC AI to drive their business forward including 150 public companies 25 unicorns and brands such as News Corp Miro Bass Pro Shops Snyk Skims Liquid Death Vercel Zscaler and TIME.
Weve 10xd revenue in 12 months raised a $60 million Series B ($555 million valuation) and are growing faster than ever. We are backed by incredible investors including Scale Venture Partners Northzone Sound Ventures and Guillermo Rauch CEO of Vercel.
If you thrive when the stakes are high and the path isnt paved youll love it here. Our six guiding principles are: 1% better every day customer obsession ship today find a way care deeply and own it completely. Come shape the future of legal work with us.
About The Role
We are seeking an Analytics Engineer to join Revenue Operations and build the intelligence layer that turns GC AIs data into decisions. Reporting to Emma Heist Head of Revenue Operations you will be GC AIs first dedicated analytics hire working closely with Sales Marketing Customer Success Finance Product and leadership to define how the company measures itself and where it focuses.
You wont be building the warehouse from scratch (our Data Engineering team owns that) but you will own everything that sits on top of it: the data models that reflect how the business actually works the dashboards and reporting that teams rely on daily the KPI frameworks that drive GTM strategy and the self-serve analytics layer that lets anyone answer their own questions. You will also partner closely with Data Engineering to ensure the warehouse schema and pipeline design support the analytical use cases the business needs.
Were looking for someone who combines strong technical chops in SQL data modeling and BI tooling with genuine curiosity about business operations and a knack for translating messy business questions into clean analytical frameworks.
What Youll Do
Own the Analytical Modeling Layer: Design and maintain dimensional models (revenue pipeline product usage retention customer lifecycle) that make warehouse data usable for business teams. Partner with Data Engineering on schema design to ensure the warehouse serves analytical use cases.
Create the Intelligence Layer: Build dashboards reports and self-serve analytics that give Sales Marketing Customer Success Product Finance and leadership real-time visibility into the metrics that matter. Define KPIs build attribution models and create the single source of truth for company performance.
Drive GTM Analytics: Own the analytical frameworks behind pipeline generation sales forecasting customer health scoring retention analysis and marketing attribution. Be the person who can tell the exec team not just what happened but why and what to do about it.
Build Analytics Workflows: Build lightweight transformation and enrichment pipelines specific to analytics workflows (e.g. attribution logic cohort tagging KPI rollups) using dbt or similar tools. Implement data quality checks and governance practices to keep analytics accurate and trustworthy as we scale.
Enable Data-Driven Culture: Partner with stakeholders across Revenue Operations Finance Product and the exec team to understand their data needs translate business questions into analytical frameworks and make data accessible to non-technical users. Youll be the go-to person when someone asks Where does this number come from
Scale the Function: Establish standards documentation and best practices to enable GC AIs analytics capabilities to grow. As the first analytics hire youll shape the roadmap for the analytics functions evolution and help recruit the next members.
What Youve Done
5 years in data engineering business intelligence or analytics engineering roles in B2B SaaS with hands-on experience building data infrastructure from early-stage or greenfield environments.
Experience building and maintaining analytical data models semantic layers or transformation layers using tools like dbt Looker modeling or similar frameworks.
Strong proficiency in SQL with experience modeling data in cloud warehouses such as BigQuery or Snowflake. Working knowledge of Python for scripting and automation.
Track record building dashboards and reporting in BI tools (e.g. Looker Tableau or Sigma) that business teams rely on daily.
Experience working with data from multiple SaaS systems (CRM billing product analytics support platforms) and building unified governed analytical models on top of them.
Strong cross-functional collaboration with Sales Marketing Finance Product and leadership to align data work with business priorities and GTM goals.
Analytical mindset with expertise in defining and tracking KPIs (e.g. ARR pipeline velocity conversion rates retention NRR) and using data to optimize go-to-market performance.
Self-starter who thrives in fast-paced ambiguous startup settings while balancing long-term architectural thinking with the need to ship today.
Nice to have
Experience working alongside a data engineering team to influence warehouse design from the analytics consumers perspective.
Familiarity with product-led growth analytics usage-based metrics or AI/ML product instrumentation.
Experience with data governance data contracts or data observability tooling (e.g. Monte Carlo Great Expectations).
Were building something new in a once-in-a-generation shift in technology and the legal industry so we move at a relentless pace. We expect urgency ownership and good judgment even when things arent perfectly clear. If you need structure and consensus to do your best work this isnt the right place for you. If you thrive in ambiguity and growth work with intensity and want real responsibility keep reading. Were excited to meet you.
GC AI is a distributed company with team members across North America and soon Europe. We believe that because our business is AI human connection matters more not less. We invest in bringing people together through our hub model: regular coworking sessions customer dinners team and company offsites. If youre in a location without an office expect up to 10% travel (and more for customer-facing roles).
Team members in the San Francisco Bay Area and Provo UT (within 50 miles of the office) work together on Tuesdays Wednesdays and Thursdays. As we grow we plan to establish permanent offices in more hub cities and we will look to our team members to help build that in-person culture. We currently hire across the United States and Canada.
GC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race color religion gender identity/expression national origin age military service eligibility veteran status sexual orientation marital status physical or mental disability or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. #LI-GCAI
To protect yourself against phishing and recruitment fraud please note that GC AI only accepts job applications through our official careers page at and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @ or @ email address.
GC AI will never:
Refer you to external websites to apply
Conduct interviews over email chat platforms or messaging apps
Ask you to provide payment or purchase equipment
Request personal or financial information such as your mailing address social security number credit card numbers or banking information during the application process
Examples of fraudulent email addresses:
Any email address ending in @ @ or other free email services
If you are contacted by someone claiming to be from GC AI via an unofficial channel or from a suspicious email address please do not share any information. Mark the communication as phishing or spam and do not respond.
Required Experience:
IC
