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Salary: USD 210,000 - 255,000 / annual
Ironclad is building AI-powered contract intelligence for enterprise procurement and legal teams, working with over 2 billion contracts across thousands of the world's largest organizations. The company is recognized as a leader in the Gartner Magic Quadrant and Forrester Wave for Contract Lifecycle Management, backed by top-tier investors including Accel, Sequoia, and Y Combinator.
You will own the product vision, strategy, roadmap, and success metrics for Ironclad's procurement AI product area. This role sits at the intersection of procurement operations, legal contracting, enterprise workflow design, and applied AI. You will develop deep understanding of procurement and legal workflows—including intake, supplier and contract management, obligations, renewals, amendments, risk review, and negotiation preparation—and identify high-value opportunities where contract intelligence and AI can help teams save time, prevent leakage, reduce risk, and gain leverage.
Key responsibilities include: shaping experiences that connect structured contract data with actionable workflows (supplier relationship views, contract-family intelligence, obligation tracking, renewal preparation, amendment drafting, risk insights); partnering with engineering, applied AI, data, and design to define product architecture, UX, data requirements, and human approval points; defining how to measure AI quality in production (accuracy, coverage, latency, task success, user acceptance, trust, business value); building feedback loops for users to review, accept, reject, and improve AI-generated insights; leading customer discovery, design-partner programs, and usability testing; translating customer evidence and product data into prioritization decisions and execution plans; partnering with GTM, Sales, and Customer Success on positioning and launches; and driving products from discovery through launch and iteration.
Success means procurement and legal customers use Ironclad as a source of truth for supplier relationships and commercial risk; AI experiences move beyond insights to help users complete high-value work faster with appropriate human control; the team can distinguish model quality from workflow, data, retrieval, usability, and adoption problems; product investments are tied to measurable outcomes (time saved, leakage prevented, discounts captured, faster renewals); and Ironclad builds durable shared capabilities serving multiple workflows rather than one-off features.
REQUIREMENTS:
- 5+ years of product management experience, ideally in enterprise SaaS, workflow products, procurement technology, legal technology, or adjacent business systems
- Track record of owning products end-to-end, from customer discovery and strategy through launch, adoption, and iteration
- Deep familiarity with procurement, sourcing, supplier management, contract lifecycle management, legal operations, or closely related domain
- Strong customer empathy and ability to earn credibility with procurement leaders, lawyers, operators, and technical partners
- Experience translating complex workflows, data, and business rules into clear product experiences and requirements
- Practical fluency with AI product development, including model capabilities and limitations, evaluation, data quality, retrieval/grounding, feedback loops, and human-in-the-loop controls
- Strong quantitative judgment and comfort defining success metrics, analyzing product behavior, and making tradeoffs using evidence
- Excellent written and verbal communication across engineering, design, applied AI, data, GTM, executives, and customers
- High ownership, sound product judgment, and ability to operate effectively in ambiguity
NICE TO HAVE:
- Experience building procurement or spend-management products (procure-to-pay, sourcing, supplier intelligence, contract intelligence, procurement orchestration)
- Experience with legal technology, CLM, contract negotiation, obligations, renewals, amendments, or compliance workflows
- Experience with enterprise integrations (SAP, SAP Ariba, Coupa, Zip, Salesforce, downstream finance/procurement systems)
- Experience shipping agentic workflows or AI products that can recommend, draft, or take action with user approval
- Familiarity with enterprise data models, entity resolution, contract families, knowledge graphs, structured extraction, or document intelligence
- Experience making build-versus-buy decisions for AI, data, or workflow capabilities
- Experience launching products in highly regulated, high-trust, or document-heavy environments
