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. 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.

Staff IT Data Engineer @ Ironclad As a Staff IT Data Engineer at Ironclad, you'll work cross-functionally to identify business problems and architect, build, and verify solutions. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward. We seek experienced engineers with strong coding fundamentals and a track record of shipping high quality products. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture and offer remote work flexibility. If you’d like to join us on our mission to build the product that legal teams love, let’s talk! What you'll do: Collaborate cross functionally with Business Intelligence, analysts, and other data teams to design, build and maintain scalable and efficient data pipelines from a wide range of data sources

Work with stakeholders across the organization to understand their data needs and gather project requirements

Develop and implement data management processes including data cleansing, data validation and data governance

Design, build, and maintain data pipelines to a data warehouse while prioritizing data governance and scalability

What we look for: At least 5+ years of experience architecting, building, launching and maintaining complex data systems/processes

Experience with data platforms such as SnowFlake, BigQuery, FiveTran, dbt, Airflow, etc.

Proficient in one or more programming languages such as TypeScript, JavaScript, Python, SQL, etc.

Experience with data modeling, warehousing and building ELT/ETL pipelines

Experience with Infrastructure-as-Code, CI/CD (Terraform, Git, Jenkins)

Experience with cloud service providers such as GCP, AWS and Azure

Familiarity with BI and dashboarding tools such as Tableau and Looker

Optional experience in: MLOps or AIOps

AI and ML evaluations and data pipelines

AI Model Training

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: $200,000 - $220,000 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.

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