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Job Description:
Key Responsibilities
Product Strategy & Vision
Define the product strategy and roadmap for our AI agent platform, including agent orchestration, task management, and interaction frameworks
Design agent behaviors, capabilities, and interaction patterns that deliver business value while maintaining safety and control
Develop frameworks for agent collaboration, including multi-agent systems and hierarchical task decomposition
Establish metrics and evaluation criteria for agent performance and effectiveness
Technical Leadership
Work with engineering teams to define agent architectures, including decision-making frameworks, memory systems, and learning capabilities
Specify requirements for agent safety mechanisms, including task boundaries, permission systems, and oversight controls
Guide the development of agent monitoring and debugging tools
Define integration patterns for connecting agents with enterprise systems and data sources
Platform Development
Create detailed product requirements for agent development tools, testing frameworks, and deployment systems
Oversee the development of agent marketplace and composition tools
Define standards for agent interoperability and communication protocols
Establish governance frameworks for agent deployment and operation
Business Impact
Identify high-value use cases for autonomous agents across different business domains
Work with customers to understand their automation needs and validate solution approaches
Develop ROI models and business cases for agent-based solutions
Guide the creation of agent performance metrics and success criteria
Required Qualifications
5+ years of product management experience in AI/ML or enterprise software
Deep understanding of large language models, reinforcement learning, and AI agent architectures
Experience with autonomous systems, robotics, or multi-agent systems
Strong technical background in computer science or related field
Proven track record of delivering complex technical products
Essential Skills
Strategic thinking and long-term vision development
Deep understanding of AI safety and control mechanisms
Excellent system design and architecture skills
Strong analytical and problem-solving abilities
Exceptional communication and stakeholder management
Experience with agile development methodologies
Impact Areas
Shape the future of autonomous AI systems
Define standards for safe and effective agent deployment
Drive innovation in enterprise automation
Build foundational technologies for the next generation of AI
Desired Expertise
Knowledge of prompt engineering and LLM optimization
Experience with workflow automation and business process management
Understanding of AI alignment and safety principles
Familiarity with enterprise security and compliance requirements
Background in distributed systems or cloud architecture
Our Benefits:
Any general requests for consideration of your skills, please
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