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

ABOUT THE ROLE

We’re hiring a GTM Analytics Lead to act as a strategic lever across our go-to-market engine.

This is a hands-on IC role focused on driving decisions, not just reporting. You’ll refine how we measure performance, uncover what’s actually driving revenue, and surface insights that directly impact how we allocate spend, scale channels, and operate GTM.

You will sit at the intersection of Marketing, Sales, and Finance, turning real-time data into action and helping us grow fast while maintaining high-quality, sustainable revenue.

RESPONSIBILITIES

• Drive GTM Performance Through Data

  Own and refine how we measure performance across marketing, pipeline, and revenue

  Turn data into clear recommendations on where to invest, what to cut, and how to scale

  Act as a strategic partner to GTM leaders on channel strategy and performance

  Ensure growth is not just fast, but efficient and sustainable (strong conversion, healthy CAC, durable revenue)

  Channel Discovery & Optimization

  Identify new acquisition channels and opportunities to drive incremental pipeline

  Deeply analyze existing channels (paid, outbound, partnerships, organic) to improve efficiency and output

  Separate signal from noise — understand what is actually driving pipeline and revenue vs what looks good on paper

  Evaluate incrementality and ROI across all GTM spend to ensure scalable, repeatable growth

  Marketing → Sales → Revenue Connectivity

  Tie marketing activity directly to sales outcomes (conversion, velocity, ACV, win rates)

  Identify friction points across the funnel and quantify impact

  Build views that reflect real sales cycles (not artificial month-based reporting)

  Highlight where growth is coming from high-quality vs. low-quality pipeline

  Real-Time GTM Insights

  Build and maintain reporting that gives teams real-time visibility into performance

  Enable faster decision-making across Marketing, Sales, and Leadership

  Move the org from lagging indicators → leading indicators

  Surface early signals on pipeline quality, conversion risk, and revenue durability

  GTM Data & Tooling Ownership

  Work across the full GTM stack to ensure data is usable, connected, and actionable:

  CRM: HubSpot / Salesforce

  Sales tools: Nooks, Unify, Gong

  Marketing tools + attribution systems

  Data stack: Snowflake, dbt, BI tools (Omni, Looker, etc.)

  Build and refine datasets that power GTM reporting (pipeline, attribution, channel performance)

  Experimentation & Insight Generation

  Partner with Growth and Marketing to analyze experiments and campaigns

  Build frameworks to quickly evaluate what’s working and what’s not

  Continuously surface insights that drive iteration and improvement

  Ensure experiments lead to scalable wins, not one-off spikes

  QUALIFICATIONS

  • 7–10+ years in analytics, growth analytics, or data roles

    Experience owning or standing up GTM / growth analytics in a high-growth SaaS environment

    Strong exposure to marketing + sales data and full-funnel analysis

    Strong SQL and data modeling experience (non-negotiable)

    Experience building datasets and working in modern data stacks (dbt, Snowflake, etc.)

    Comfortable working across messy, imperfect data environments

    Deep understanding of how SaaS GTM works end-to-end

    Strong intuition around channels, pipeline generation, and revenue drivers

    Ability to tie analysis directly to revenue quality, not just volume

    You don’t just report — you push decisions

    You focus on impact, not dashboards

    You know how to prioritize what actually moves revenue

    You care about building a durable growth engine, not short-term wins

    Can translate complex data into simple, actionable insights

    Comfortable working directly with execs and influencing GTM strategy

    WHY JOIN SPELLBOOK?

    • 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

      Inclusive Hiring at Spellbook

      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.

      Use of Artificial Intelligence in Recruitment

      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.

      Our Compensation Philosophy

      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.