Senior Principal Product Manager

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 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.


While every E3 capability domain is expected to embed AI into its respective developer experiences, workflows, and operational capabilities, this role is uniquely responsible for the broader AI-Driven Development Lifecycle (AI-DLC). This leader owns the strategy and roadmap for the foundational AI capabilities, platforms, orchestration frameworks, and reusable agent systems that enable product managers, architects, program managers, operations teams, and other non-developer personas to operate with AI-native workflows and materially higher leverage.


The role is specifically accountable for:

• Expanding the Internal Developer Platform (IDP) beyond traditional software developers to support non-developers building, configuring, deploying, and operating agents and AI-powered workflows
• Defining the enterprise approach for human-agent collaboration patterns and AI-native operating models
• Building the product management acceleration ecosystem, including agents that generate and refine product artifacts such as roadmaps, requirements, executive narratives, investment models, dependency analysis, adoption insights, and portfolio reporting
• Establishing shared AI platform capabilities consumed across all E3 domains, including agent orchestration frameworks, context and knowledge management systems, and reusable workflow primitives

The role requires balancing rapid AI innovation with governance, operational safety, trust, and measurable business outcomes while enabling Equinix to evolve toward an AI-native engineering and operational enterprise.


Responsibilities

Capability Domain Strategy & Vision


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.


Product Portfolio Ownership

• Owns a portfolio of AI-native platform products, agent frameworks, and AI-DLC capabilities, including roadmap prioritization, sequencing, dependency management, and adoption strategy. Ensures AI capabilities are reusable, scalable, governable, and embedded into day-to-day engineering and product workflows across the enterprise.

AI-Driven Product Management Transformation

• Defines the strategy for AI-enabled product management and portfolio operations, including the agents and workflows required to scale product leadership effectiveness

Owns capabilities for:

• Automated product requirement and PRD generation
• Executive narrative and inspection artifact generation
• Roadmap synthesis and dependency analysis
• Investment and business case generation
• Capability decomposition and scoping assistance
• Product telemetry summarization and insight generation
• Adoption and Voice of Developer insight synthesis
• Portfolio prioritization and scenario modeling
• AI-assisted backlog refinement and epic creation
• Product operations and governance automation

Partners with product, engineering, architecture, and portfolio management leaders to redefine how product work is created, governed, and operationalized in an AI-native organization.


Executive Inspection Leadership

• Partners with engineering, architecture, product, and operational leaders to shape and govern the executive inspection process for the AI Accelerators domain. Drives alignment between AI investment strategy, operational readiness, governance, and measurable business outcomes

AI-Native Developer & Operator Experience Leadership

• Represents the needs of developers, product managers, architects, SREs, security engineers, and operational teams adopting AI-native workflows. Partners with Voice of Developer and AI adoption programs to improve usability, trust, discoverability, and operational effectiveness of AI capabilities

Cross-Functional Platform Leadership

• Works across E3, Engineering, Infrastructure, Security, Architecture, SRE, Product, and Operations organizations to align AI strategy and execution. Acts as the connective layer between enterprise AI strategy, platform architecture, and operational execution

Financial & Investment Planning

• 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

Product & Adoption Metrics

• Defines and governs KPIs for AI Accelerators and AI-DLC effectiveness. Uses telemetry and analytics to continuously improve AI workflows, platform experiences, and organizational effectiveness

Agile Product & Engineering Partnership

• Partners closely with engineering, architecture, AI platform, and operational leaders to define execution priorities and delivery sequencing. Ensures AI initiatives remain measurable, outcome-oriented, governable, and aligned to enterprise priorities

Qualifications

• 15+ years of experience in product management, platform engineering, AI platform strategy, developer tooling, enterprise architecture, or engineering transformation
• Experience leading large-scale AI transformation, developer platform, or intelligent automation initiatives
• 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
• Experience with Agile product operating models and platform portfolio management
• Familiarity with AI safety, model operations, prompt engineering, workflow orchestration, and human-in-the-loop operational models preferred
• Bachelor's degree preferred

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

United States - Redwood City Office GHQ : 213,000 - 319,000 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.


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