
Product Management Director
Product Management Director
- JR-153871
- 远程
- Redwood City
- Product
- Full time
Who are we?
Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.
Job Summary
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
Distributed AI Ecosystem Strategy
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
Solutions Development Leadership
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
Partner Ecosystem Orchestration
Build strategic and technical relationships across the complete distributed AI value chain including: Hyperscale cloud providers and edge cloud platforms; AI/ML platform providers and model developers; Infrastructure vendors (compute, networking, storage, accelerators); System integrators and solution providers; Telecommunications and connectivity partners
Develop partner enablement programs, technical certification processes, and joint solution development initiatives
Create partner success metrics and governance frameworks for distributed AI solutions
Technical Solution Architecture
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
Business Operations & Performance
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
Qualifications
Required
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
Technical Expertise
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
Leadership & Business Skills
Exceptional strategic thinking and business development capabilities with proven ability to build complex partnerships
Strong analytical and problem-solving skills with experience in data-driven decision making
Excellent communication and presentation skills with ability to engage C-level executives and technical stakeholders
Experience managing global, cross-functional teams and driving results in matrix organizations
Track record of successful solution launches and market development in enterprise technology
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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