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About the Role

Designs, develops, and manages the product lifecycle from concept to end-of-life, translating market opportunities into viable products that differentiate Equinix. Sets product vision and strategy, managing the roadmap and working cross-functionally to launch new products and features.

Responsibilities

• Bring strong working knowledge of generative AI, cloud infrastructure, and enterprise data architecture to product and platform decisions.
• Partner with engineering and architecture teams to evaluate large language model architectures, AI agents, cloud deployment approaches, and enterprise data pipelines.
• Participate meaningfully in technical and architecture reviews, as well as product and roadmap discussions.
• Translate technical choices, constraints, and risks into clear business implications.
• Help ensure that AI products are designed for enterprise scale, security, reliability, and reuse.
• Establish a consistent approach for determining when Equinix should build AI capabilities internally, purchase commercial technology, or partner with external providers.
• Evaluate cloud AI services, commercial model providers, open source technologies, and enterprise AI platforms.
• Assess options based on business value, implementation time, cost, technical fit, security, operational complexity, and long term strategic importance.
• Develop clear recommendations supported by financial analysis, technical assessment, and risk considerations.
• Present recommendations to senior leaders and support informed investment decisions.
• Guide decisions on prompt design, retrieval augmented generation, model customization, fine tuning, and model selection.
• Help teams determine when a smaller model may provide better performance, cost, speed, or control than a larger model.
• Partner with AI and machine learning engineering teams on deployment approaches across cloud, private infrastructure, and environments with strict performance requirements.
• Evaluate emerging approaches such as AI agent coordination, model routing, and hybrid model deployment.
• Use model performance data, evaluation results, user feedback, and business outcomes to guide product priorities.
• Define product requirements for AI system reliability, availability, performance, monitoring, usage limits, and incident response.
• Partner with engineering teams to improve visibility into AI system behavior, model performance, cost, and production issues.
• Establish requirements that support traceability, explainability, auditability, fairness, privacy, and regulatory compliance.
• Work with Legal, Security, Privacy, and AI Governance teams to incorporate company policies and responsible AI requirements into products and platforms.
• Partner with Design to create clear user experiences that explain how AI is being used and provide appropriate user review, control, and approval.
• Lead decisions involving tradeoffs among business value, delivery speed, technical complexity, cost, performance, and risk.
• Establish clear and repeatable methods for evaluating major AI product and architecture decisions.
• Help teams identify risks early and determine the appropriate level of governance and human oversight.
• Balance the need to deliver value quickly with the requirements of security, reliability, and responsible AI.
• Build alignment across Product, Engineering, Architecture, Legal, Information Security, Data, Design, and business functions.
• Influence decisions through expertise, clear reasoning, and strong working relationships rather than direct authority.
• Explain complex technical topics in clear language that is relevant to both technical and business audiences.
• Work with senior leaders to connect AI investments to business priorities, customer value, productivity, and operational outcomes.
• Develop trusted relationships so that teams engage early when evaluating important AI opportunities or decisions.
• Stay current on developments in generative AI, including models, platforms, tools, enterprise applications, and deployment methods.
• Evaluate which technologies are relevant to Equinix and which are unlikely to provide meaningful business value.
• Develop informed perspectives that help guide product strategy, architecture, partnerships, and investment.
• Represent Equinix’s perspective on generative AI internally and, where appropriate, with customers, partners, and the broader industry.

Requirements

• 10 or more years of experience in Product Management, Engineering, Data Science, or a related field.
• Significant experience with generative AI, cloud platforms, enterprise data architecture, or AI powered products.
• Demonstrated ability to operate as a senior individual contributor across both technical and business topics.
• Experience working directly with large language models, prompt design, retrieval augmented generation, model customization, or fine tuning.
• Experience evaluating model choices and understanding the tradeoffs among quality, speed, cost, security, and operational complexity.
• Experience leading build, buy, and partner decisions for AI, machine learning, data, or enterprise technology capabilities.
• Strong understanding of machine learning pipelines, model deployment, model serving, evaluation, and feedback processes.
• Working knowledge of distributed systems, cloud architecture, APIs, and enterprise platforms.
• Experience designing shared platform capabilities that can support multiple products, teams, or business functions.
• Ability to influence senior leaders across technical and business organizations.
• Strong written and verbal communication skills, with the ability to explain complex topics clearly to different audiences.
• Sound judgment when evaluating new technologies and determining their practical value.
• Experience working across functions and geographies in a large organization.
• Ability to make progress in areas where requirements, technology, or business needs are still evolving.

Skills

• Generative AI
• Cloud Infrastructure
• Enterprise Data Architecture
• Large Language Models
• AI Agents
• Cloud Deployment
• Enterprise Data Pipelines
• Prompt Design
• Retrieval Augmented Generation
• Model Customization
• Model Fine Tuning
• Model Selection
• AI System Reliability
• AI System Availability
• AI System Performance
• AI System Monitoring
• AI System Usage Limits
• AI System Incident Response
• Traceability
• Explainability
• Auditability
• Fairness
• Privacy
• Regulatory Compliance
• Responsible AI
• Product Management
• Machine Learning Pipelines
• Model Deployment
• Model Serving
• Model Evaluation
• Feedback Processes
• Distributed Systems
• Cloud Architecture
• APIs
• Enterprise Platforms
• Shared Platform Capabilities
• Business Value Assessment
• Technical Assessment
• Risk Management
• Financial Analysis
• OpenAI
• Anthropic
• Google
• Open Source AI
• Machine Learning Operations
• Model Observability
• AI Monitoring
• AI User Experience Design
• Data Centers
• Telecommunications
• Enterprise Technology
• AI Assistants
• AI Agents
• Conversational Products
• AI Enabled Workflows
• Business Software
• Developer Products

Location

• United States - Dallas
• United States - Redwood City
• Canada - Toronto

Work Type

• Full-time

Experience Level

• 10 or more years of experience
• Senior individual contributor

Education Level

• Master’s degree or doctorate in Computer Science, Data Science, Statistics, Engineering, Physics, or a related field

Salary/Compensations

• United States - Dallas: 177,000 - 265,000 USD / Annual
• United States - Redwood City: 213,000 - 319,000 USD / Annual
• Canada - Toronto: 182,000 - 272,000 CAD / Annual

Benefits

• Employee Assistance Program
• Health Insurance
• Life Insurance
• Disability Insurance
• Voluntary Plans
• Retirement Plan (US)
• Defined Contribution Pension Plan (Canada)
• Group Retirement Savings Plan (Canada)
• Tax-Free Savings Plan (Canada)
• Paid Time Off (PTO)
• Paid Holidays
• Vacation
• Personal Time

About the Company

• Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
• A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
• A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact.
• You’ll work across teams, influence key decisions, and help shape the path forward.
• You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Equal Opportunity

• 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.
• We use artificial intelligence in our hiring process. Learn more here.