Staff Product Manager, AI Data Experience
Leads product strategy and execution for contract data ingestion, knowledge graphs, and AI agent experiences. Requires 7+ years of product management experience, staff-level ownership in data-rich environments, and demonstrated zero-to-one AI product development.
About the job
Responsibilities
- Own the data import experience and product features, enabling customers to bring contracts and metadata from communications platforms, third-party repositories, shared drives, and other business applications while preserving structure, relationships, permissions, and provenance.
- Define how contracts, clauses, terms, entities, workflows, approvals, counterparties, obligations, and related business objects connect within Ironclad’s context knowledge graph.
- Establish shared schemas, APIs, events, identifiers, lineage, and access patterns for trusted data across Search, Smart Import, Workflows, Analytics, and AI Agents.
- Partner with AI, Engineering, Design, and domain experts to identify use cases and ship agents that predict, recommend, triage, validate, reconcile, and execute work across business functions.
- Define quality standards for agent behavior, including grounding, explainability, human-in-the-loop controls, evaluation, monitoring, and safe failure modes.
- Define data quality metrics and feedback loops covering completeness, accuracy, freshness, consistency, lineage, and coverage.
- Partner with the Contract Understanding Platform team across ingestion, extraction, enrichment, graph construction, and serving.
Requirements
- 7+ years of product management experience, including staff-level ownership in a data-rich environment.
- Proven track record of building user-facing experiences.
- Zero-to-one product development experience building AI solutions.
- 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 from Series B through IPO.
- Enterprise product judgment where trust, security, compliance, portability, and workflow integration matter.
- Excellent customer empathy and written communication skills.
- Ability to explain complex technical and product concepts to diverse audiences.
- Demonstrated ability to lead through influence across Engineering, Design, Data, AI, GTM, and executive stakeholders.
Nice to have
- Experience with contract lifecycle management, document AI, legal technology, data migrations, or knowledge graphs.
Compensation
- Base salary: $188,000–$235,000 annually.
- Company bonus, equity awards, health and wellness benefits, paid time off, parental and compassionate leave, wellbeing and hybrid-work stipends, mental health support, commuter benefits, and a 401(k) plan with employer match.
Skills
Product Management, Artificial Intelligence, Data Modeling, Data Architecture, Knowledge Graphs, APIs, Data Quality, Metrics, Instrumentation, Data Lineage, Enterprise Software, Contract Lifecycle Management, Document Ai, Data Migrations, Product Strategy
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