Back
Mid-level product title with AI specialization and reputable startup branding yields moderate competition among qualified applicants.
Role requires specialized agentic AI and procurement domain knowledge, limiting cross-industry transferability.
Explicit 4–6 year requirement plus niche agentic-AI and enterprise procurement expertise increases screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and execute product vision, architecture, and roadmap for AI Teams in Business Spend Management focusing on autonomous procure-to-pay workflows.
Develop and optimize AI agent design patterns to ensure accuracy, reliability, explainability, and real-world context in spend-related functions like invoice validation, vendor onboarding, and contract management.
Engage directly with Fortune 100 CXOs to translate enterprise pain points into AI product innovations and lead technical and strategic discussions with key stakeholders.
4-6 years of B2B product management experience, with at least 2 years on first-to-market products.
Experience launching agentic AI products involving multi-agent systems with defined roles and policies in enterprise environments.
Strong understanding of AI evaluation techniques for accuracy and reliability in production, including managing hallucination and latency.
Proven experience working with enterprise-scale data systems including invoice data, procurement records, contract metadata, and FX/tax engines with sensitivity to governance and compliance.
Operates at the intersection of AI product management and enterprise spend/workflow automation with demonstrated ownership of end-to-end AI-driven workflows.
Comfortable leading high-level strategic conversations with C-suite executives in large enterprises and driving technical alignment with engineering and data teams.
Experienced in building complex AI products requiring advanced design of multi-agent coordination, monitoring, and continuous improvement pipelines.