Own the data import experience and product features. Make it easy for customers to bring in contracts and metadata from communications platforms, 3rd party repositories, shared drives, and other business applications while preserving structure, relationships, permissions, and provenance.
Build upon Ironclad’s context knowledge graph foundation. Define how contracts, clauses, terms, entities, workflows, approvals, counterparties, obligations, and related business objects are connected so Ironclad can provide context—not just isolated fields—to users and AI systems.
Make data useful across the platform. Establish the shared schemas, APIs, events, identifiers, lineage, and access patterns that let Search, Smart Import, Workflows, Analytics, and AI Agents build on consistent, trusted data. Ensure imported data can support both interactive experiences and background agents that continuously monitor, predict, validate, and act throughout the contracting process.
Build AI agents on imported data. Partner with AI, Engineering, Design, and domain experts to identify high-value agent use cases, define the data and context each agent needs, and ship agents that predict, recommend, triage, validate, reconcile, and execute work across legal, procurement, sales, finance, and operations. Own the quality bar for agent behavior, including grounding, explainability, human-in-the-loop controls, evaluation, monitoring, and safe failure modes.
Create a data quality and trust flywheel. Define completeness, accuracy, freshness, consistency, lineage, and coverage metrics; build feedback loops; and ensure customers can understand, validate, correct, and improve the data powering their experiences.
Partner on contract understanding. Work closely with the Contract Understanding Platform team on the boundaries between ingestion, extraction, enrichment, graph construction, and serving—so data is built once, improved continuously, and reusable everywhere.
Qualification
Experience in a fast-pacedEnterprise-product judgment where trustExcellent customer empathyBase Salary Range
Required
7+ years of product management experience, including staff-level ownership in a data rich environment with a proven track record of building user-facing experiences.
Zero-to-one product development experience building AI solutions. This is a role that requires conceptual thinking about how to build AI capabilities that leverage Ironclad's vast pool of data.
Strong quantitative judgment and experience defining metrics, instrumentation, quality thresholds, and feedback loops for data and platform products.
Experience in a fast-paced, high-growth environment (Series B through IPO).
Enterprise-product judgment where trust, security, compliance, portability, and workflow integration matter.
Excellent customer empathy, written communication, and ability to make complex technical and product concepts clear to diverse audiences.
Demonstrated ability to lead through influence across Engineering, Design, Data, AI, GTM, and executive stakeholders.
Experience with contract lifecycle management, document AI, legal technology, data migrations, or knowledge graphs is a plus, not a requirement.
Base Salary Range: $210,000 - $255,000; offers company bonus
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.
US Full-Time Employee Benefits at Ironclad:
100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
