Senior/Staff Product Manager, Card Application Onboarding – Growth
Hotel Engine
Director, Product Management
Equinix
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $198,000 - $298,000 per year
Job Level
Lead
Tech Stack
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
Requirements
- 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
