Senior Principal Product Manager (Gen AI Platforms)

Join Equinix as a Senior Principal Product Manager for Generative AI Platforms. In this role, you will design, develop, and manage the lifecycle of AI products, ensuring they are competitively positioned and customer-centric. You will work cross-functionally with various teams, evaluate AI technologies, and guide decisions on model deployment and reliability. You will also build alignment across functions, influence senior leaders, and stay current on developments in generative AI.

• Define and manage the product roadmap, ensuring it is competitively positioned and customer-centric.
• Collaborate cross-functionally with engineering, operations, marketing, and other teams to design, build, and launch new products or features.
• Establish a consistent approach for determining when to build AI capabilities internally, purchase commercial technology, or partner with external providers.
• 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
• Ability to influence senior leaders across technical and business organizations
• Working knowledge of distributed systems, cloud architecture, APIs, and enterprise platforms
• Ability to make progress in areas where requirements, technology, or business needs are still evolving
• Experience evaluating model choices and understanding the tradeoffs among quality, speed, cost, security, and operational complexity
• Sound judgment when evaluating new technologies and determining their practical value
• Experience working across functions and geographies in a large organization
• Experience leading build, buy, and partner decisions for AI, machine learning, data, or enterprise technology capabilities
• Significant experience with generative AI, cloud platforms, enterprise data architecture, or AI powered products
• Strong written and verbal communication skills, with the ability to explain complex topics clearly to different audiences
• Strong understanding of machine learning pipelines, model deployment, model serving, evaluation, and feedback processes
• 10 or more years of experience in Product Management, Engineering, Data Science, or a related field
• Experience designing shared platform capabilities that can support multiple products, teams, or business functions
• Master’s degree or doctorate in Computer Science, Data Science, Statistics, Engineering, Physics, or a related field
• Experience working with models and platforms from OpenAI, Anthropic, Google, or the open source community
• Experience with machine learning operations, model evaluation, AI monitoring, or model observability tools
• Experience defining service requirements for AI systems, including availability, performance, monitoring, usage limits, and operational support
• Knowledge of responsible AI practices, including explainability, model documentation, evaluation, audit processes, governance, and policy implementation
• Experience working with research, engineering, or innovation teams to bring AI capabilities into production
• Experience designing AI user experiences that support transparency, consent, user review, and appropriate human control
• Experience in data centers, cloud infrastructure, telecommunications, or enterprise technology
• Experience building AI assistants, agents, conversational products, or AI enabled workflows
• Experience with business software, enterprise platforms, or products designed for developers