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
Spellbook is hiring a Product Analyst to improve how we measure, understand, and act on product performance. In this role you’ll build a single source of truth for product metrics and partner closely with Product and Engineering to translate ambiguous questions into crisp analysis, dashboards, and recommendations.
RESPONSIBILITIES
Own the measurement foundation: establish and evolve our core product metric definitions (activation, engagement/session definitions, retention) and keep them consistent across teams.
Enable self-serve analytics: build blueprints and standards that make analytics self-serve for PMs and Engineering.
Partner with PMs and Engineering: act as a consulting/sounding-board partner—help shape hypotheses, interpret results, and drive decisions.
Improve reporting trust: build lightweight process and governance so data issues are caught early.
Metric systems: define and maintain a metric ladder that connects leading indicators to business outcomes (retention, activation, revenue).
Funnels & journeys: analyze onboarding, activation, and key workflows; identify drop-offs and highest-impact fixes.
Engagement & retention: cohort analysis, feature adoption, stickiness, and power-user behaviors.
Experimentation & evaluation: partner on experiment design, success metrics, and post-launch readouts.
Dashboards & narratives: create dashboards that drive action and write clear readouts that help teams make decisions quickly.
QUALIFICATIONS
You have 4+ years in product analytics / product data / data analytics in a SaaS product environment.
You have strong SQL (complex joins, nested/event-shaped data, and can sanity-check results).
You have experience with user analytics tooling (e.g., Mixpanel or Amplitude), including dashboarding/reporting and partnering with Engineering on instrumentation.
You have experience defining core SaaS metrics and building durable, trusted reporting
You have experience partnering with Product and Engineering to influence roadmap or execution.
You have a strong analytical toolkit
You have strong technical fluency: you’re comfortable working with event data and can collaborate with engineers on instrumentation and data modelling.
You have exceptional communication skills: you can explain findings to executives and IC engineers, and influence without authority.
NICE TO HAVES
Experience setting up or improving an event taxonomy and instrumentation practices.
Experience building a self-serve analytics culture (templates, office hours, documentation, metric dictionaries).
Familiarity with modern data stack concepts (warehouse + transformations + BI) and/or product analytics tools.
Experience in B2B SaaS and/or workflow products.
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.
