Director, Product Management

Equinix

full-time

Posted on: 9/6/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

💰 $198,000 - $298,000 per year

Lead

CloudDistributed SystemsMicroservices

About the role

Define and execute comprehensive solutions development strategy for Distributed AI across Equinix\'s global partner ecosystem
Build integrated roadmaps leveraging edge computing, interconnection, and distributed infrastructure for AI workloads
Own end-to-end solution development lifecycle from ideation through market launch for 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 partner enablement programs, technical certification processes, and joint solution development initiatives
Design reference architectures, integration patterns, APIs, and technical interfaces for partner interoperability
Lead technical due diligence and architectural reviews for new partner integrations
Establish and monitor KPIs for technical performance, adoption metrics, and business outcomes and manage solution P&L

15+ years of progressive experience in product management, solutions development, or technical leadership 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
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
Exceptional strategic thinking, business development, analytical, and communication skills
Experience managing global, cross-functional teams and engaging C-level executives