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.

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

The United States targeted pay range for this position in the following location is / locations are: • San Francisco, CA / Bay Area: $198,000 to $298,000 per year • California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $191,000 to $287,000 per year • Colorado, Nevada, Rhode Island: $177,000 to $265,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link: USA Benefits eBook
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 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.

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