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Spellbook

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

⚖️ Legal

☁️ SaaS

🤖 Artificial Intelligence

Legal • SaaS • Artificial Intelligence

Spellbook is an AI-powered contract management and automation platform that helps legal teams and law firms review, draft, compare and manage contracts end-to-end. The product provides AI contract review (redlines and risk flags), drafting from precedents or from scratch, market-comparisons, an AI assistant for multi-document workflows, and searchable indexed contract storage. It integrates with tools where deals start (email, Slack, Salesforce) and works directly inside Word. Spellbook emphasizes security and privacy (Zero Data Retention agreements, SOC 2 Type II compliance) and is positioned for in-house legal teams and law firms, claiming adoption by 4,500+ teams across 80+ countries and acceleration of over 10 million contracts.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ 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