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.
Solution Incubation Team | Equinix
Equinix is seeking a Senior Principal Technical Product Manager who operates at the intersection of solution architecture and technical marketing, with deep, hands-on expertise in hybrid and multi-cloud networking and security. This role is responsible for designing, building, and validating cloud networking and security architectures with technology partners, and then turning those architectures into scalable, repeatable solutions for distributed AI workloads.
As a senior member of the Solution Incubation Team, you will both roll up your sleeves to prototype and solution with partners and translate those outcomes into clear solution offers, reference architectures, and technical narratives that fuel go-to-market.
Key Responsibilities
Hybrid multi-cloud networking architecture
Design and evolve end-to-end hybrid and multi-cloud network architectures (VPC/VNet design, peering, transit, direct interconnects, SDN, service mesh) that underpin distributed AI training and inference.
Build and validate hands-on proofs of concept and reference implementations with cloud providers and networking partners, ensuring low-latency, high-throughput connectivity across cloud, colo, and edge.
Develop reusable reference architectures, solution blueprints, and design patterns for AI-ready network fabrics spanning compute, storage, and edge locations.
Cloud security and zero-trust partner ecosystem solution design
Define and implement cloud-neutral security architectures with technology partners including encryption in transit, IAM, micro-segmentation, policy-as-code, and network security controls across multi-cloud environments.
Collaborate with internal and external (partner) security and infrastructure teams to operationalize zero-trust principles, security monitoring, and compliance-aligned controls for distributed AI traffic patterns.
Automate security guardrails and baselines within CI/CD and infrastructure-as-code workflows for partner solutions.
Networking for distributed AI solutions
Translate distributed AI requirements (data gravity, GPU clusters, east–west traffic, multi-region replication) into concrete network and security designs.
Partner with AI platform, data, and hardware teams to ensure networking, interconnection, and security architectures unlock performance and resilience for large-scale AI deployments.
Learn and expand AI domain knowledge as it relates to networking and security (e.g., how model placement, data pipelines, and inference endpoints drive network design).
Hands-on solutioning with partners
Work directly with technology partners (cloud, networking, security, AI infrastructure) to design, build, and validate joint solutions on Equinix’s platform.
Own technical build activities: standing up lab environments, configuring cloud networking and interconnect, integrating partner stacks, performance testing, and documenting results.
Lead technical due diligence and validation of partner offerings for connectivity, security, and operational fit in hybrid/multi-cloud architectures.
Technical marketing and enablement
Translate complex architectures into clear solution assets: reference architectures, whiteboard diagrams, solution briefs, demos, and technical presentations.
Deliver technical evangelism for Equinix-based networking and security solutions supporting AI workloads through partner enablement sessions, webinars, and customer briefings.
Equip sales, partner teams, and solution architects with technical playbooks, FAQs, and demo flows to drive adoption of hybrid multi-cloud networking solutions.
Cross-functional leadership
Act as the central technical liaison bridging product, engineering, networking, security, and partner teams for solution incubation and launch.
Represent cloud networking and security requirements in roadmap discussions, influencing product features and platform investments aligned to distributed AI scenarios.
Monitor solution performance and customer feedback and drive continuous improvement of architectures, patterns, and partner integrations.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field; advanced degrees preferred.
10+ years in technical product management, solution architecture, or similar roles with a strong focus on hybrid/multi-cloud networking and cloud security.
Proven, hands-on experience designing and operating multi-cloud and hybrid network fabrics: VPC/VNet architectures, peering, transit gateways, SDN, direct interconnects.
Deep understanding of cloud provider networking and security (AWS, Azure, GCP), including routing, firewalls, load balancing, IAM, and security groups/policies.
Practical experience implementing zero-trust principles, network segmentation/micro-segmentation, encryption, and security monitoring in cloud and hybrid environments.
Demonstrated ability to build POCs, labs, and demos and to document and present technical solutions in a way that resonates with both technical and business stakeholders.
Strong desire and aptitude to expand AI-related knowledge, specifically how AI platforms, data pipelines, and inference services impact networking and security architecture.
Excellent communication and storytelling skills, comfortable presenting to customers, partners, and executives.
Preferred Qualifications
Experience with Equinix Fabric, Network Edge, and interconnection services or comparable hybrid/multi-cloud connectivity platforms.
Background in networking for data-intensive or distributed systems (HPC, big data, or AI/ML platforms) and understanding of typical traffic patterns.
Familiarity with Kubernetes, service meshes, and container networking in hybrid/multi-cloud contexts.
Experience collaborating with or enabling partner ecosystems including cloud providers, security vendors, network OEMs, and integrators.
Exposure to AI governance, security, and data privacy considerations across regions and cloud providers.
What You’ll Accomplish
Establish Equinix as the preferred platform for secure, high-performance hybrid and multi-cloud networking that powers distributed AI.
Deliver repeatable, validated joint solutions with partners that accelerate customer time-to-value for AI workloads.
Elevate the organization’s maturity in hybrid multi-cloud connectivity, automation, and security for AI deployments across global markets.
Team & Culture
Join a highly motivated incubation team at the intersection of cloud, networking, and AI infrastructure. This role reports to the VP, Partner Ecosystem Solution Development and works closely with engineering leadership, solution architects, and partner teams to shape the next generation of hybrid multi-cloud networking solutions for AI.
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.
Top Skills
Equinix Redwood, California, USA Office
One Lagoon Drive, Redwood, CA, United States, 94065
Equinix Sunnyvale, California, USA Office
1188 E Argues Ave, Sunnyvale, CA, United States, 94085
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

