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HomeCompaniesSpellbook.LegalGTM Analytics Lead

GTM Analytics Lead

Spellbook.Legal · Remote - US/Canada · Remote · Active · Ashby

Job facts

FieldValue
CompanySpellbook.Legal
TitleGTM Analytics Lead
Normalized title-
Department / teamFinance / Finance
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Spellbook.Legal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Finance.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySpellbook.Legal
Source0b1c132d-5657-4d51-9aa3-3f70bc1f458e
ATS providerAshby

Description

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.

Full job record

Job ID7a45e4b2ade8f77283610390c3a3d26aabae66dc
Org ID8d333b68-8962-4c7f-afab-b408d5ec3319
Source ID0b1c132d-5657-4d51-9aa3-3f70bc1f458e
Board ID0b1c132d-5657-4d51-9aa3-3f70bc1f458e
Providerashby
Provider Job Key9484d7ba-31d8-4347-a316-b9e8f4f48d3e
TitleGTM Analytics Lead
Normalized Title
Statusactive
Activeyes
Location TextRemote - US/Canada
DepartmentFinance
TeamFinance
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/spellbook.legal/9484d7ba-31d8-4347-a316-b9e8f4f48d3e
Apply URLhttps://jobs.ashbyhq.com/spellbook.legal/9484d7ba-31d8-4347-a316-b9e8f4f48d3e/application
First Seen At2026-05-29 05:18:56Z
Last Seen At2026-06-06 19:03:34Z
Last Checked At2026-06-06 19:03:34Z
Last Changed At2026-05-29 05:18:56Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=spellbook.legal/date=2026-06-06/2026-06-06T19-03-31-417Z-d522205c825c02847f87509cff9b7c54379fcc1e603059cac1e763de5c8f1df8.json
Event Fields
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  "last_changed_at": "2026-05-29T05:18:56.826Z",
  "active_status": "active"
}
Parsed Structured
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  "inferred_at": "2026-06-06T19:03:34.410Z",
  "launch_scope": {
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  },
  "remote_policy": "remote",
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  "workplace_type": "remote",
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}
Extensions
{}
Native Structured
{
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  "team": "Finance",
  "title": "GTM Analytics Lead",
  "jobUrl": "https://jobs.ashbyhq.com/spellbook.legal/9484d7ba-31d8-4347-a316-b9e8f4f48d3e",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/spellbook.legal/9484d7ba-31d8-4347-a316-b9e8f4f48d3e/application",
  "isListed": true,
  "isRemote": true,
  "location": "Remote - US/Canada",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Finance",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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