Sr. Product Manager - AI Applications
New
Remote work flexibility across the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementLLMGenerative AI
Requirements
- 10+ years of product management experience, with strong focus on AI/ML-powered applications and enterprise-scale digital products.
- Deep expertise in AI workflows, orchestration tools, and automation platforms such as n8n, with hands-on experience designing agentic systems.
- Strong understanding of LLM-based development environments and tools such as Claude Code and other generative AI frameworks.
- Experience working with Model Context Protocol (MCP) servers, system integrations, and AI-driven architecture design.
- Proven ability to manage complex, cross-functional initiatives in fast-paced environments with multiple stakeholders and competing priorities.
- Strong analytical and problem-solving skills with ability to translate data into actionable product decisions.
- Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
- Bachelor’s degree in Computer Science, Data Science, Business, or related field, or equivalent practical experience.
Responsibilities
- Define and lead the product vision and roadmap for AI-powered internal tools and agentic workflows that improve operational efficiency across revenue-related functions.
- Design and deploy AI solutions that automate and optimize processes in areas such as Marketing, Pricing, Promotions, Merchandising, and Product Management.
- Collaborate with cross-functional stakeholders to identify opportunities for AI integration and ensure alignment with business priorities and operational needs.
- Manage integration of AI platforms and orchestration systems into existing enterprise environments, ensuring scalability, reliability, and maintainability.
- Drive rapid iteration cycles for AI applications, continuously improving performance, usability, and business impact based on feedback and data.
- Partner with engineering, data, and business teams to translate requirements into technical specifications and ensure successful delivery of solutions.
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