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
The Director of AI Technical Marketing is a strategic leader responsible for driving Equinix’s Distributed AI ecosystem through compelling technical marketing programs. This role bridges technical sales, engineering, and partner solutions to deliver integrated AI offerings. You will own solution storytelling, enablement content, and thought leadership initiatives that showcase customer use cases and accelerate adoption.
Responsibilities
Strategy & Messaging
Define and execute a comprehensive technical marketing strategy for Distributed AI solutions
Develop a messaging hierarchy to ensure consistent, compelling AI narratives across channels
Align global product and solution marketing initiatives with growth targets and business objectives
Program Leadership
Orchestrate strategic technical marketing programs, managing cross-functional teams and external agencies
Drive thought leadership through analyst engagement, events, and content that elevates Equinix’s AI voice
Build a robust repository of AI customer success stories to support sales and marketing efforts
Solutions Development
Partner with engineering, architecture, and business development teams to deliver integrated AI solutions
Contribute to solution design, technical specifications, and performance benchmarks for distributed AI workloads
Support proof-of-concept development and partner integration frameworks
Partner Ecosystem
Develop strategic relationships across hyperscalers, AI/ML platform providers, infrastructure vendors, and system integrators
Create partner enablement programs, certification processes, and joint solution initiatives
Define success metrics and governance frameworks for distributed AI solutions
Technical Architecture
Design reference architectures for edge-to-cloud AI workloads
Establish integration patterns, APIs, and performance optimization frameworks
Lead technical due diligence and ensure scalability across global deployments
Business Performance
Own solution P&L, including revenue forecasting and margin analysis
Monitor KPIs for technical performance, adoption, and business outcomes
Lead quarterly business reviews and implement data-driven improvement processes
Qualifications
Experience:
15+ years in product management, technical marketing, or solutions development with a focus on distributed systems and AI/ML
Education:
Bachelor’s in Computer Science, Engineering, or related field; MBA or advanced technical degree preferred
Expertise:
Distributed computing architectures, edge computing, and cloud-native technologies. AI infrastructure, model deployment, and performance optimization computing, AI accelerators, and high-performance computing
Skills:
Strategic thinking, P&L management, and ecosystem building. Strong communication skills for engaging C-level and technical audiences. Proven success in global team leadership and enterprise solution launches
The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 177, USD / Annual
Canada - Toronto Office TRO : 166, CAD / 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…
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