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 seeking a Senior Data Engineer to join our growing team. In this role, you’ll lead the design and development of scalable data infrastructure that powers both internal analytics and AI-driven product capabilities, helping transform large volumes of contract data into actionable market insights. You’ll build reliable, compliant, and extensible systems that accelerate product development and support the next stage of Spellbook’s growth.

As a Senior Data Engineer, you’ll play a key role in shaping the future of Spellbook’s data platform. You’ll operate at the intersection of data engineering, infrastructure, and product strategy, with broad ownership across architecture, execution, and long-term platform evolution.

THE TECH STACK

AWS, CDK, Dagster, Athena, Glue, SageMaker, Docker, TypeScript

RESPONSIBILITIES

Work as part of a distributed team to identify and implement impactful improvements to the company’s data platform, accelerating product and AI development
Design, architect and implement scalable data infrastructure supporting both analytics and AI/ML-driven product features.
Build and maintain compliant, auditable data storage and processing systems in AWS, with infrastructure-as-code.
Develop and operate robust data pipelines and orchestration systems and own the generation of core datasets, ensuring they are reliable, reproducible and easy to evolve, with robust backfill and reprocessing capabilities
Designing and implementing data retention and deletion workflows that meet legal and compliance requirements
Contribute to architectural decisions and documentation as the platform evolves
Other responsibilities as required.

QUALIFICATIONS

You have 5+ years of experience in Infrastructure Engineering or Data Platform Engineering.
You have exceptional communication skills. You can explain and advocate your ideas to a diverse audience, and you document architectural decisions clearly.
You can take an ambiguous, high-impact platform requirement from a vague abstract idea, to a working prototype, to a production-ready system deployed to serve internal teams and unblock product delivery.
You are a self-starter and problem-solver motivated by curiosity and a desire to help others succeed, encouraged by continuous improvement.
You are a team player who is motivated to help Spellbook succeed. When things break you are eager and able to help fix them. You think of and implement ways to improve the work of the team as a whole.
You have a firm grasp of cloud infrastructure, distributed systems, and relevant security/compliance considerations, and can reason clearly about tradeoffs in cost, reliability, and simplicity.
You have the ability to break complex and vague requirements down into clear achievable enhancements that ship in record time.

NICE TO HAVES

Experience with workflow orchestration tools (e.g. Dagster, Airflow, Prefect)
Experience working with data warehouses or lakehouses (e.g. Athena, Iceberg, Snowflake)
Experience supporting machine learning workflows (e.g. dataset generation, experimentation, model pipelines)
Experience designing and implementing deletion and retention systems with auditable processes (SOC2-aligned)
Experience integrating product analytics data into a warehouse

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.

Senior Data Engineer