Senior Principal Product Manager

Job Summary

Leads the vision, strategy, and execution for the AI Accelerators capability domain within Equinix Engineering Excellence (E3). This domain offers the connective layer between enterprise AI strategy and the practical operationalization of AI across engineering, product, infrastructure, and operations organizations.

Responsibilities

• Defines and evolves the long-term vision, operating model, and roadmap for the AI Accelerators and AI-DLC capability domain, including AI-native developer experiences and copilots, agentic engineering workflows, AI-assisted software development lifecycle tooling, product management acceleration agents, AI-driven backlog, roadmap, and requirements generation, AI-enabled architecture and dependency analysis, intelligent workflow orchestration frameworks, AI workflow governance and safety controls, autonomous and semi-autonomous remediation and operations, prompt, context, and knowledge management frameworks, AI telemetry, evaluation, and optimization systems, multi-agent collaboration and orchestration capabilities.
• Establishes strategic direction aligned to Equinix engineering productivity, operational scalability, developer experience, and enterprise AI transformation goals.
• Owns a portfolio of AI-native platform products, agent frameworks, and AI-DLC capabilities, including roadmap prioritization, sequencing, dependency management, and adoption strategy.
• Defines the strategy for AI-enabled product management and portfolio operations, including the agents and workflows required to scale product leadership effectiveness.
• Partners with product, engineering, architecture, and portfolio management leaders to redefine how product work is created, governed, and operationalized in an AI-native organization.
• Partners with engineering, architecture, AI platform, and operational leaders to define execution priorities and delivery sequencing, ensuring AI initiatives remain measurable, outcome-oriented, governable, and aligned to enterprise priorities.
• Drives alignment between AI investment strategy, operational readiness, governance, and measurable business outcomes.
• Represents the needs of developers, product managers, architects, SREs, security engineers, and operational teams adopting AI-native workflows.
• Works across E3, Engineering, Infrastructure, Security, Architecture, SRE, Product, and Operations organizations to align AI strategy and execution.
• Ensures AI capabilities are reusable, scalable, governable, and embedded into day-to-day engineering and product workflows across the enterprise.
• Partners with Voice of Developer and AI adoption programs to improve usability, trust, discoverability, and operational effectiveness of AI capabilities.
• Develops business cases and investment strategies for AI-native engineering and operational capabilities, understands the economics of AI-assisted engineering, agent orchestration, inference consumption, workflow automation, and organizational productivity scaling.
• Defines and governs KPIs for AI Accelerators and AI-DLC effectiveness, using telemetry and analytics to continuously improve AI workflows, platform experiences, and organizational effectiveness.

Qualifications

• 15+ years of experience in product management, platform engineering, AI platform strategy, developer tooling, enterprise architecture, or engineering transformation.
• Strong understanding of AI-native development workflows, LLM-based systems, agent orchestration, and enterprise AI governance.
• Demonstrated experience driving cross-functional alignment across engineering, product, infrastructure, security, operations, and architecture organizations.
• Experience building developer and operational platforms that improve productivity, scalability, and organizational leverage.
• Strong executive communication and strategic planning skills.
• Familiarity with AI safety, model operations, prompt engineering, workflow orchestration, and human-in-the-loop operational models preferred.
• Bachelor’s degree preferred.