Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.
We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!
This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.
About the Role
As a Analytics Engineer, you will be responsible for using our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic across a fast-growing organization. You will partner cross-functionally with analytics, data science, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets that serve as the foundation for understanding our business. This role offers the opportunity to be a part of shaping our future data infrastructure in a high-growth environment while working on a diverse set of business-critical data initiatives.
This role will report into the Sr. Manager of GTM Data & Analytics.
What You’ll Do
Design and maintain data transformations that ensure accurate, scalable, and high-quality datasets
Unify metrics and definitions across our data warehouse and BI tools, driving reliable, self-service analytics for analytics team members and cross-functional stakeholders.
Partner with Data Engineering to Manage Our Stack: Collaborate on the design, ingestion, and transformation pipelines—ensuring they’re scalable, efficient, and aligned with business needs.
Champion Data Privacy & Quality: Implement and uphold governance processes and compliance measures to maintain the highest standards of data integrity.
What We’re Looking For
3+ years of experience as an analytics engineer, data engineer, or business intelligence engineer and 1+ years developing in dbt, ideally at a B2B SaaS company
Proficiency in SQL
Previous experience with data modeling, ETL/ELT development principles, and data warehousing concepts
Familiarity with the tools in our stack (Segment, Fivetran, BigQuery, dbt, Looker, Airflow) is preferred
A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
A demonstrated self-starter with strong communication and project management skills
Benefits:
Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers
Base Salary Range: $125,000 - $140,000
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.