GTM Analytics Lead

Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work.

We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million in Series B funding, led by Keith Rabois at Khosla Ventures, bringing its total funding to more than $80 million.

*This is an existing vacancy

We're looking for a GTM Analytics Lead to help lead the future of growth at Spellbook. You'll define the analytical frameworks and strategic roadmaps behind how our growth team scales customer acquisition across every channel — from paid and organic marketing to product-led growth loops. You'll partner closely with marketing, product, and engineering on experimental design, statistical modeling, implementation, and analysis. Our goal is simple: reach the right lawyer or legal team, with the right message, at the right moment in their buying journey. You'll co-own how we allocate a fast-growing marketing and growth budget.

• 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

• 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

• Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done

• 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

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Spellbook is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Spellbook is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Spellbook uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Spellbook team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Spellbook regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.

Spellbook uses industry benchmark data to establish compensation bands for all roles. The salary range listed for a position reflects the expected total wage range for the role—including base salary and on-target commissions, where applicable—and may span multiple career levels. Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level. In addition to base salary and applicable commissions, total rewards may include equity, health and wellness benefits, and other company programs. Full details will be shared during the interview process.