Who are we?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.Job SummaryDesigns, develops and manages the lifecycle of a product or group of products from concept to launch to end of life. Translates market opportunities and customer demand into viable products and services that differentiate Equinix in the market. Sets the vision and strategy for their product ensuring it is competitively positioned and customer-centric. Manages the product roadmap including features, upgrades and maintenance of the product or product line. Works cross functionally with user experience, engineering, operations, solution architects, marketing and others to design, build and launch new products and/or product features.ResponsibilitiesGenerative AI, Cloud, and Data ArchitectureBring strong working knowledge of generative AI, cloud infrastructure, and enterprise data architecture to product and platform decisionsPartner with engineering and architecture teams to evaluate large language model architectures, AI agents, cloud deployment approaches, and enterprise data pipelinesParticipate meaningfully in technical and architecture reviews, as well as product and roadmap discussionsTranslate technical choices, constraints, and risks into clear business implications that leaders can understand and act onHelp ensure that AI products are designed for enterprise scale, security, reliability, and reuseBuild, Buy, and Partner DecisionsEstablish a consistent approach for determining when Equinix should build AI capabilities internally, purchase commercial technology, or partner with external providersEvaluate cloud AI services, commercial model providers, open source technologies, and enterprise AI platformsAssess options based on business value, implementation time, cost, technical fit, security, operational complexity, and long term strategic importanceDevelop explicit recommendations supported by financial analysis, technical assessment, and risk considerationsPresent recommendations to senior leaders and support informed investment decisionsModel Strategy and DeploymentGuide decisions on prompt design, retrieval augmented generation, model customization, fine tuning, and model selectionHelp teams determine when a smaller model may provide better performance, cost, speed,



or control than a larger modelPartner with AI and machine learning engineering teams on deployment approaches across cloud, private infrastructure, and environments with strict performance requirementsEvaluate emerging approaches such as AI agent coordination, model routing, and hybrid model deploymentUse model performance data, evaluation results, user feedback, and business outcomes to guide product prioritiesPlatform Reliability and Responsible AIDefine product requirements for AI system reliability, availability, performance, monitoring, usage limits, and incident responsePartner with engineering teams to improve visibility into AI system behavior, model performance, cost, and production issuesEstablish requirements that support traceability, explainability, auditability, fairness, privacy, and regulatory complianceWork with Legal, Security, Privacy, and AI Governance teams to incorporate company policies and responsible AI requirements into products and platformsPartner with Design to create clear user experiences that explain how AI is being used and provide appropriate user review, control, and approvalProduct Decisions and Risk ManagementLead decisions involving tradeoffs among business value, delivery speed, technical complexity, cost, performance, and riskEstablish clear and repeatable methods for evaluating major AI product and architecture decisionsHelp teams identify risks early and determine the appropriate level of governance and human oversightBalance the need to deliver value quickly with the requirements of security, reliability, and responsible AIExecutive and Cross Functional LeadershipBuild alignment across Product, Engineering, Architecture, Legal, Information Security, Data, Design, and business functionsInfluence decisions through expertise, clear reasoning, and strong working relationships rather than direct authorityExplain complex technical topics in clear language that is relevant to both technical and business audiencesWork with senior leaders to connect AI investments to business priorities, customer value, productivity, and operational outcomesDevelop trusted relationships so that teams engage early when evaluating important AI opportunities or decisionsIndustry and Technology AssessmentStay current on developments in generative AI, including models, platforms, tools, enterprise applications, and deployment methodsEvaluate which technologies are relevant to Equinix and which are unlikely to provide meaningful business valueDevelop informed perspectives that help guide product strategy, architecture, partnerships, and investmentRepresent Equinix's perspective on generative AI internally and,



where appropriate, with customers, partners, and the broader industryQualifications10 or more years of experience in Product Management, Engineering, Data Science, or a related fieldSignificant experience with generative AI, cloud platforms, enterprise data architecture, or AI powered productsDemonstrated ability to operate as a senior individual contributor across both technical and business topicsExperience working directly with large language models, prompt design, retrieval augmented generation, model customization, or fine tuningExperience evaluating model choices and understanding the tradeoffs among quality, speed, cost, security, and operational complexityExperience leading build, buy, and partner decisions for AI, machine learning, data, or enterprise technology capabilitiesStrong understanding of machine learning pipelines, model deployment, model serving, evaluation, and feedback processesWorking knowledge of distributed systems, cloud architecture, APIs, and enterprise platformsExperience designing shared platform capabilities that can support multiple products, teams, or business functionsAbility to influence senior leaders across technical and business organizationsStrong written and verbal communication skills, with the ability to explain complex topics clearly to different audiencesSound judgment when evaluating new technologies and determining their practical valueExperience working across functions and geographies in a large organizationAbility to make progress in areas where requirements, technology, or business needs are still evolvingPreferred QualificationsMaster's degree or doctorate in Computer Science, Data Science, Statistics, Engineering, Physics, or a related fieldExperience working with models and platforms from OpenAI, Anthropic, Google, or the open source communityExperience with machine learning operations, model evaluation, AI monitoring, or model observability toolsExperience defining service requirements for AI systems, including availability, performance, monitoring, usage limits, and operational supportKnowledge of responsible AI practices, including explainability, model documentation, evaluation, audit processes, governance, and policy implementationExperience working with research, engineering, or innovation teams to bring AI capabilities into productionExperience designing AI user experiences that support transparency, consent, user review, and appropriate human controlExperience in data centers, cloud infrastructure, telecommunications, or enterprise technologyExperience building AI assistants, agents, conversational products, or AI enabled workflowsExperience with business software, enterprise platforms, or products designed for developersThe targeted pay range for this position in the following location is / locations are:United States - Dallas Infomart Office DAI : 177,000 - 265 #J-18808-Ljbffr

📌 Senior Principal Product Manager - Gen Ai Platforms (Toronto)
🏢 Equinix
📍 Toronto