Senior Vice President, AI Product
Explicitly requires vibe coding experience and familiarity with vibe/app tools like Replit and Streamlit; directly references building apps and prototypes with vibe-style tooling.
About the Role
Lead Ashley Furniture's AI product strategy and execution as the Senior Vice President, AI Product, building and scaling AI-native applications, multi-agent workflows, and an AI product organization to drive customer experience, operational efficiency, and business growth.
Job Description
Role
The Senior Vice President, AI Product will define and execute the enterprise AI product vision and roadmap, build a world-class AI product organization, and partner with engineering, data, platform, and business teams to deliver AI-native applications, agentic workflows, and automation that drive measurable business impact.
Key Responsibilities
- Define a multi-year AI product strategy and own the enterprise AI product portfolio, including ROI-driven portfolio reviews with senior leadership.
- Lead cross-functional teams to design, develop, and scale applications and multi-agent workflows across retail, supply chain, and manufacturing.
- Establish a modern AI product delivery operating model integrating business, engineering, and platform teams.
- Drive AI product innovation in agentic commerce, customer service, supply chain planning, and manufacturing automation; accelerate high-value use cases from concept to measurable impact.
- Implement product discovery and experimentation frameworks, define value metrics, and drive adoption through enablement and change management.
- Partner with AI Governance, Security, and Legal to implement privacy, security, and safety guardrails for responsible AI operations.
- Collaborate with AI Platform and Data teams to meet enterprise SLAs (latency, reliability, cost, data quality).
- Build, mentor, and lead a high-performing AI Product organization and develop embedded AI champions across business functions.
- Evaluate and manage strategic AI vendor partnerships and lead build vs. buy decisions.
- Oversee AI product budgets, measure realized business benefits, and report portfolio ROI to executive leadership.
Requirements
- Bachelor’s degree in computer science, engineering, data science, or related quantitative field; advanced technical degree preferred.
- 12+ years of product management experience, including 5+ years leading AI/ML products at enterprise scale.
- Demonstrated success delivering AI-powered products with measurable business outcomes.
- Deep understanding of LLMs, context engineering, RAG, MCP, multi-agent AI systems, AI evaluation frameworks, model fine-tuning, and operational considerations (latency, cost, reliability, privacy).
- Experience with vibe coding and app development tools (examples given: Replit, lovable, Streamlit).
- Exceptional executive communication skills and ability to align stakeholders across technology and business functions.
- Proven leadership building and managing high-performing product teams.