GTM Analytics Lead

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 ... (truncated, view full listing at source)