Product Management Director

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 SummaryThe 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.ResponsibilitiesDistributed AI Ecosystem StrategyDefine and execute comprehensive solutions development strategy for Distributed AI across Equinix's global partner ecosystemBuild integrated roadmaps that leverage edge computing, interconnection, and distributed infrastructure capabilities for AI workloadsDrive the vision for how AI solutions scale across multiple geographies, regulatory environments, and infrastructure tiersEstablish technical standards and architectural principles for distributed AI solution deploymentSolutions Development LeadershipOwn end-to-end solution development lifecycle from ideation through market launch for all AI partner solutionsLead cross-functional teams including engineering, architecture, business development, and operations to deliver integrated AI solutionsDefine solution requirements, technical specifications, and performance benchmarks for distributed AI workloadsDrive proof-of-concept development, testing, and validation across multiple partner environmentsEstablish solution frameworks that enable rapid partner integration and deploymentPartner Ecosystem OrchestrationBuild 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 partnersDevelop partner enablement programs, technical certification processes, and joint solution development initiativesCreate partner success metrics and governance frameworks for distributed AI solutionsTechnical Solution ArchitectureDesign reference architectures for distributed AI workloads spanning edge-to-cloud environmentsDefine integration patterns, APIs, and technical interfaces for partner solution interoperabilityEstablish performance optimization frameworks for AI inference, training, and data movement across distributed infrastructureLead technical due diligence and architectural reviews for new partner integrationsDrive technical standards adoption and ensure solution scalability across global deploymentsBusiness Operations & PerformanceEstablish and monitor key performance indicators for AI partner solutions including technical performance, adoption metrics, and business outcomesManage solution P&L responsibility including revenue forecasting, cost optimization, and margin analysisLead quarterly business reviews and strategic planning processes for the AI partner ecosystemImplement data-driven decision making and continuous improvement processesQualificationsRequired15+ years of progressive experience in product management, solutions development, or technical leadership roles with focus on distributed systems and AI/MLBachelor's degree in Computer Science, Engineering, or technical field; MBA or advanced technical degree strongly preferredProven track record of building and scaling complex partner ecosystems and technical solutionsDeep expertise in distributed computing architectures, edge computing, and cloud-native technologiesExtensive experience with AI infrastructure, model deployment, and performance optimization at scaleStrong background in product management methodologies, technical architecture, and cross-functional team leadershipDemonstrated success in P&L management and driving significant revenue growth through solution developmentTechnical ExpertiseDeep understanding of AI frameworks, model serving architectures, and distributed training systemsExperience with GPU computing, AI accelerators, and high-performance computing infrastructureKnowledge of edge computing platforms, networking technologies, and hybrid cloud architecturesFamiliarity with container orchestration, microservices, and cloud-native application developmentUnderstanding of data pipeline architectures, real-time processing, and distributed storage systemsLeadership & Business SkillsExceptional strategic thinking and business development capabilities with proven ability to build complex partnershipsStrong analytical and problem-solving skills with experience in data-driven decision makingExcellent communication and presentation skills with ability to engage C-level executives and technical stakeholdersExperience managing global, cross-functional teams and driving results in matrix organizationsTrack record of successful solution launches and market development in enterprise technologyThe 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 eBookEquinix 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.