Product Management Director

About the position

The Director of AI Partner Solutions Development is a strategic leadership role responsible for orchestrating all solutions development across Equinix's Distributed AI partner ecosystem. This role owns the complete solution lifecycle from concept to market delivery, driving technical innovation and business growth through strategic partnerships that enable distributed AI workloads at global scale. The position requires deep technical expertise in AI infrastructure combined with exceptional partnership development and product management skills.

Responsibilities

• Define and execute comprehensive solutions development strategy for Distributed AI across Equinix's global partner ecosystem
• Build integrated roadmaps that leverage edge computing, interconnection, and distributed infrastructure capabilities for AI workloads
• Drive the vision for how AI solutions scale across multiple geographies, regulatory environments, and infrastructure tiers
• Establish technical standards and architectural principles for distributed AI solution deployment
• Own end-to-end solution development lifecycle from ideation through market launch for all AI partner solutions
• Lead cross-functional teams including engineering, architecture, business development, and operations to deliver integrated AI solutions
• Define solution requirements, technical specifications, and performance benchmarks for distributed AI workloads
• Drive proof-of-concept development, testing, and validation across multiple partner environments
• Establish solution frameworks that enable rapid partner integration and deployment
• Build strategic and technical relationships across the complete distributed AI value chain
• Develop partner enablement programs, technical certification processes, and joint solution development initiatives
• Create partner success metrics and governance frameworks for distributed AI solutions
• Design reference architectures for distributed AI workloads spanning edge-to-cloud environments
• Define integration patterns, APIs, and technical interfaces for partner solution interoperability
• Establish performance optimization frameworks for AI inference, training, and data movement across distributed infrastructure
• Lead technical due diligence and architectural reviews for new partner integrations
• Drive technical standards adoption and ensure solution scalability across global deployments
• Establish and monitor key performance indicators for AI partner solutions including technical performance, adoption metrics, and business outcomes
• Manage solution P&L responsibility including revenue forecasting, cost optimization, and margin analysis
• Lead quarterly business reviews and strategic planning processes for the AI partner ecosystem
• Implement data-driven decision making and continuous improvement processes

Requirements

• 15+ years of progressive experience in product management, solutions development, or technical leadership roles with focus on distributed systems and AI/ML
• Bachelor's degree in Computer Science, Engineering, or technical field; MBA or advanced technical degree strongly preferred
• Proven track record of building and scaling complex partner ecosystems and technical solutions
• Deep expertise in distributed computing architectures, edge computing, and cloud-native technologies
• Extensive experience with AI infrastructure, model deployment, and performance optimization at scale
• Strong background in product management methodologies, technical architecture, and cross-functional team leadership
• Demonstrated success in P&L management and driving significant revenue growth through solution development

Nice-to-haves

• Deep understanding of AI frameworks, model serving architectures, and distributed training systems
• Experience with GPU computing, AI accelerators, and high-performance computing infrastructure
• Knowledge of edge computing platforms, networking technologies, and hybrid cloud architectures
• Familiarity with container orchestration, microservices, and cloud-native application development
• Understanding of data pipeline architectures, real-time processing, and distributed storage systems

Benefits

• Employees are eligible for bonus
• Equity may be offered depending on the position
• Details about our company benefits can be found at the following link: USA Benefits eBook