Ironclad is the leading AIpowered 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!
Own and scale backend systems that support highthroughput, lowlatency AI product features
Guide architectural decisions, mentor team members, and promote engineering best practices
Evaluate and integrate emerging LLM technologies and APIs into the product surface where appropriate
Drive datainformed product development by leveraging metrics and instrumentation
Help grow the team through interviewing, mentoring, and knowledge sharing
Contribute to a modern TypeScriptbased codebase using agile and iterative development processes
Strong experience with TypeScript, React, Node.js, and backend service development
3–5+ years of experience building and maintaining scalable, productiongrade systems
Experience with cloud infrastructure (GCP preferred), Docker, and Kubernetes
Familiarity with integrating AIML or LLM APIs into userfacing applications
Proven ability to ship highquality, usertested software in a fastpaced environment
Strong backend fundamentals—performance optimization, data modeling, observability
A product mindset and passion for crafting thoughtful, highimpact user experiences
Experience in 0to1 product development or AIdriven feature iteration
Exposure to prompt engineering or retrievalaugmented generation (RAG)
Comfort working with product analytics and experimentation frameworks
Familiarity with documentcentric workflows (e.g., PDF, DOCX parsing)
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