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Position Overview

Equinix is seeking an accomplished Product Management Director to lead distributed AI solution development within hybrid and multi-cloud environments. This role is central to incubating AI workload orchestration solutions that leverage Equinix’s global digital infrastructure, delivering secure, scalable, low-latency AI services across cloud, edge, and colocation.

As a key member of Equinix’s Solution Incubation Team, this individual will drive strategy, technical execution, and ecosystem partnerships that enable next-generation AI workloads orchestrated over hybrid multi-cloud fabrics.

Key Responsibilities

Distributed AI Enablement & Hybrid Multi-Cloud Leadership

• Architect and drive distributed AI solutions across hybrid cloud, multi-cloud, edge, and on-prem environments, ensuring seamless workload orchestration, data locality, and optimized AI training/inference pipelines.

• Lead integration and technical enablement with AI hardware providers, cloud platforms, system integrators, and connectivity partners, focusing on multi-cloud networking and interconnection fabric leverage to maximize AI performance.

• Develop reference architectures and scalable blueprints for infrastructure-neutral AI workloads spanning compute, storage, networking, and edge capabilities.

• Drive adoption of standardized APIs, integration patterns, data protection, and security models aligned with hybrid cloud and multi-cloud best practices.

Hybrid Multi-Cloud Networking & Security Stewardship

• Lead the design and implementation of robust hybrid multi-cloud network architectures including VPC/VNet peering, transit gateways, direct interconnections, segmentations, and zero-trust security across AI pipelines.

• Define and enforce cloud-neutral security frameworks encompassing encryption, identity and access management, micro-segmentation, network security monitoring, and compliance focused on distributed AI workloads.

• Collaborate with security, networking, and infrastructure teams to automate security controls, vulnerability management, and incident response for hybrid multi-cloud AI environments.

Product Development & Partner Ecosystem Strategy

• Own end-to-end incubation lifecycle for distributed AI solutions: from concept through POCs and market validation to scalable production deployments in partnership with AI ecosystem players.

• Collaborate with product management, solution architects, engineers, and global partners to translate AI workload requirements into unified solution roadmaps and technical delivery plans.

• Develop technical enablement materials, demos, and documentation to catalyze partner onboarding and customer adoption of hybrid multi-cloud AI architectures.

• Lead technical due diligence and validation of partner solutions for AI distributed training, inference, and data management workflows.

Cross-Functional Leadership & Market Validation

• Act as the central technical liaison bridging AI, networking, security, and operations teams for solution incubation and go-to-market readiness.

• Monitor distributed AI workload performance metrics—latency, throughput, GPU utilization, data transfer efficiency—and drive continuous improvement initiatives.

• Provide subject matter expertise in executive forums influencing product strategy, partnerships, and infrastructure investments for large-scale hybrid AI deployments.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degrees (AI/ML, distributed systems, business) preferred.

• 10+ years of technical product management or solutions architecture experience with significant focus on distributed AI workloads, hybrid multi-cloud networking, and infrastructure security.

• Proven ability designing and managing hybrid/multi-cloud network fabrics, interconnections (private and public), and zero-trust security models for enterprise cloud solutions.

• Hands-on experience with AI/ML infrastructure components: GPUs, high-performance compute, distributed storage, Kubernetes, MLOps, and hybrid cloud orchestration.

• Deep understanding of cloud provider networking – AWS, Azure, GCP – and cloud interconnection services supporting distributed applications.

• Strong collaborator and communicator able to lead cross-organizational initiatives across product, engineering, security, and partner ecosystems globally.

Preferred Qualifications

• Experience with Equinix’s Fabric, Network Edge, and interconnection platforms or equivalent hybrid/multi-cloud infrastructure services.

• Background in large-scale AI/ML platform deployment, edge AI, and hybrid multi-cloud solution incubation.

• Familiarity with AI governance, model security frameworks, and privacy requirements in multi-jurisdiction hybrid cloud environments.

• Experience building and enabling complex AI partner ecosystems including hardware providers, cloud platforms, system integrators, and telecom/connectivity vendors.

What You’ll Accomplish

• Lead innovation and technical enablement strategy for enterprise-scale hybrid multi-cloud AI, positioning Equinix as the preferred infrastructure foundation for next-gen AI workloads.

• Enable rapid time-to-market for partners through repeatable, secure, and scalable distributed AI infrastructure solutions leveraging Equinix’s global platform.

• Advance hybrid multi-cloud connectivity and security maturity in AI deployments, driving adoption and business growth across diverse global markets.

Team & Culture

Join a highly motivated, innovative incubation team shaping the future of distributed AI at the intersection of cloud, edge, and networking. Engage with industry leaders and cutting-edge technology to solve the hardest challenges in hybrid multi-cloud AI infrastructure.

This position reports to the VP, Partner Ecosystem Solution Development and works closely with engineering leadership, solution architects, and AI partnership teams to drive technical innovation and market validation in AI infrastructure solutions.

The targeted pay range for this position in the following location is / locations are:

United States - Redwood City Office GHQ : 198,000 - 298,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

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.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.

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.