Note: The job is a remote job and is open to candidates in USA. Spellbook is the most comprehensive AI copilot for transactional lawyers. They are seeking a GTM Analytics Lead to define analytical frameworks and strategic roadmaps to scale customer acquisition across various channels, partnering closely with marketing, product, and engineering teams.
Responsibilities
- Apply statistical, machine learning, and econometric methods to large datasets to evaluate channel performance and isolate the causal impact of marketing and sales activity on a multi-touch B2B sales cycle
- Build attribution models and investment frameworks that inform Spellbook's channel spend, helping marketing and finance understand which messages resonate with which segments at each stage of the funnel
- Partner with Marketing Ops, Sales, and Engineering to unify data across first- and third-party sources, so every growth decision is made with full context
- Drive experimental design across acquisition, activation, and retention surfaces, enabling fast, low-cost iteration on new channels and messaging
- Shape the data culture at Spellbook by improving the tools, processes, and systems the broader team uses to make decisions at scale
Skills
- Bachelor's degree or above in Math, Economics, Statistics, Computer Science, Engineering, or another quantitative field, with 5+ years of industry experience as a Data Scientist
- Strong Python skills (numpy, pandas, scikit-learn, etc.) across exploratory analysis, predictive modeling, and applied ML for marketing and growth problems
- Strong SQL skills (Snowflake, BigQuery, or Redshift preferred)
- A track record of shipping measurable improvements alongside growth and product teams, with proven leadership
- A strong point of view on the marketing experimentation lifecycle — hypothesis generation, experimental design, statistical analysis, and A/B testing best practices
- Deep familiarity with marketing attribution, martech, and the modern privacy landscape
- Comfort operating in a fast-paced startup environment where problems are solved through iterative technical solutions
- Experience at a high-growth startup, ideally in B2B SaaS
- Familiarity with enterprise or legal-tech sales cycle metrics
- Experience with the modern data stack (Fivetran, Snowflake, dbt, Looker, Hex, or equivalents)
- Familiarity with data orchestration tools (Airflow, Dagster, Prefect)
- A strong perspective on data science engineering practices — data modeling, version control, testing, and documentation
Benefits
- Access our company-paid group benefits for you and your family, with $1,000 towards mental health support
- Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year
- Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows
- Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee
Company Overview