About the job
You'll own Ironclad's Contract Understanding Platform: the extraction and document understanding systems that turn contracts into accurate, structured, actionable knowledge. It powers Search, Smart Import, and our AI Agents, and it's the ground truth every agent reasons over.
You'll own extraction quality end to end, from document import to structured data to export, and shape how that data is built once and served to every team that depends on it. You will go deeper than flat properties: capturing the relationships between clauses, terms, and contracts so agents can reason across a customer's entire repository. Expect to move between customer workflows and hard technical calls, from an API contract to a build-versus-buy decision to a production-quality regression. You'll partner across engineering, applied science, design, data, legal experts, Security, and GTM, and you'll bring technical depth, sharp product judgment, and the ability to create clarity in ambiguity.
Responsibilities
- Own the strategy and the quality. Set the vision, roadmap, and OKRs for contract understanding, and stay accountable for extraction accuracy, depth, and coverage from import through export, including long documents, multi-agreement detection, and bulk extraction.
- Build the data once, serve it everywhere. Define the APIs, schemas, and developer experience that let every client team build on a single, consistent extraction service.
- Build and ideate on front-end user experiences. Enable users to review and validate data and use that feedback to improve product quality.
- Model the relationships in a contract. Move from flat properties to a connected representation that captures clauses, topics, intra- and inter-contract relationships, and negotiation history, so agents reason relationally and with high recall.
- Own the AI quality flywheel. Build the datasets, evals, production metrics, regression gates, and feedback loops that separate benchmark scores from real production quality.
- Connect the platform to customers. Carry shared capabilities into workflows like Smart Import and Intake, and use research, telemetry, and GTM feedback to turn a customer's existing contract data into durable advantage.
- Lead through influence. Make consequential technical calls (model architectures, vendors, build-versus-buy) and align engineering, design, data, executives, and partners around clear decisions and accountable execution.
Qualifications
Minimum
- 7+ years of product management experience, including staff-level ownership of a technically complex product area.
- Experience shipping production AI/ML, developer platform, data infrastructure, or search products.
- Practical fluency with LLM systems, extraction or retrieval, APIs, data models, evaluation methods, latency, and cost.
- Strong quantitative judgment, including the ability to tell offline benchmark performance from actual production quality.
- Platform instincts: you solve immediate needs while extracting durable, shared capabilities.
- Experience owning customer-facing outcomes, not just internal infrastructure.
- Enterprise-product judgment where trust, scale, compliance, and workflow integration matter.
- Excellent written communication and influence across engineering, leadership, GTM, and customers.
Preferred
- Experience with document AI, knowledge graphs, legal tech, or data-labeling systems is a plus, not a requirement.