Staff Product Manager, Contract Understanding Platform

About the role

You will own Ironclad's Contract Understanding Platform, the extraction and document understanding systems that convert contracts into accurate, structured, actionable knowledge. You will own extraction quality end to end, from document import to structured data to export, and you will 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. You will move between customer workflows and hard technical calls, from an API contract to a build-versus-buy decision to a production-quality regression. You will partner across engineering, applied science, design, data, legal experts, Security, and GTM, bringing technical depth, sharp product judgment, and the ability to create clarity in ambiguity. You will set the vision, roadmap, and OKRs for contract understanding, and you will stay accountable for extraction accuracy, depth, and coverage from import through export, including long documents, multi-agreement detection, and bulk extraction.

Key facts

What you'll do

• 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.
• Partner closely with Security and compliance to ensure extraction pipelines, data representations, and model behaviors meet enterprise trust and regulatory standards.
• Translate complex customer workflows into product requirements and technical specifications that engineering can execute against with high reliability.
• Drive rigorous prioritization across opportunities and constraints, balancing user experience, model quality, platform scalability, and cost.
• Collaborate with data science and applied research to evaluate new extraction and understanding techniques and to define experiments that prove value in production.
• Define and own the contract schema, entity types, and relationship models that become the ground truth for Search, Smart Import, and AI Agents.
• Establish measurement frameworks that link offline benchmarks to online product outcomes and user trust.
• Act as the primary product voice for contract understanding with executive stakeholders, GTM, and customers, shaping narratives and evidence-based decisions.

Requirements

• 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.
• Experience with document AI, knowledge graphs, legal tech, or data-labeling systems is a plus, not a requirement.
• You are comfortable operating in a fast-moving, ambiguous environment while maintaining rigorous product discipline.
• You are comfortable making decisions with incomplete information and backing them with clear reasoning and data.
• You are comfortable working with deeply technical stakeholders and translating constraints into coherent product choices.
• You are committed to building for the long term while delivering measurable value in the short term.
• You are willing to invest the time needed to develop deep domain expertise in contract structure, legal concepts, and extraction quality.
• You are willing to collaborate across time zones and with stakeholders who have varied levels of technical fluency.

Nice to have

• Experience with document AI, knowledge graphs, legal tech, or data-labeling systems.

Practical notes

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.