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Ai Infrastructure Jobs in Oregon (NOW HIRING)

Senior Product Marketing Manager, AI Factory

OR ยท On-site +1

$120K - $158K/yr

You will deeply understand how Leviathan works (AI infrastructure orchestration, distributed compute, deployment, and lifecycle management across cloud and edge environments) and turn that complexity ...

NVIDIA is looking for an AI Solutions Architect with deep, hands-on experience in large-scale GPU ... Diagnosing complex infrastructure and distributed systems issues spanning InfiniBand and RoCE ...

NVIDIA, the world leader in accelerated computing and AI infrastructure, is seeking a Networking Product Sales Specialist with a proven track record of selling complex AI Infrastructure solutions to ...

VP, Customer Engineering

OR ยท On-site +1

$179K - $231K/yr

Framing AI infrastructure trade-offs * Validating feasibility and ROI * Ensuring full qualification prior to deep engineering engagement You will build a best-in-class global pre-sales engine where:

You will own end-to-end partner strategy across co-sell, resale, demand generation, marketing, enablement, and delivery motions for Armada's edge AI and AI infrastructure platform, building executive ...

As AI infrastructure becomes increasingly distributed, organizations need data platforms that support training, inference, and global collaboration without complex or expensive data replication.

Product Lead, AI Platform

OR ยท On-site +1

$126K - $166K/yr

You will be hands-on leading our core AI infrastructure while simultaneously serving as the people manager and program leader for a specialized pod of Product Managers. You aren't just managing a ...

AI Context Operations Lead

Portland, OR ยท On-site

$163 - $203.80/hr

AI Ops builds the systems that keep that organization moving, helping teams move quickly without ... In this role, you'll own Mercury's internal knowledge infrastructure: the systems and standards ...

Infrastructure Architect

OR ยท On-site +1

$66 - $84.50/hr

Review and validate AI-generated outputs related to infrastructure components, environment configurations, and deployment specifications-assessing accuracy, completeness, and alignment with VA ...

Showing results 21-40

Ai Infrastructure information

See Oregon salary details

$29

$62

$92

How much do ai infrastructure jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai infrastructure in Oregon is $62.57, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $72.93 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are popular job titles related to Ai Infrastructure jobs in Oregon?

For Ai Infrastructure jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Ai Infrastructure jobs?

Cities in Oregon with the most Ai Infrastructure job openings:

Infographic showing various Ai Infrastructure job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $130,155 per year, or $62.6 per hour.

Senior Product Marketing Manager, AI Factory

Armada

OR โ€ข On-site, Remote

$120K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description


About the Role

We are looking for a Product Marketing Manager (PMM) to define, position, and scale Leviathan, Armada's AI Factory platform, one of Armada's flagship products.ย 

This role sits at the intersection of Product, Engineering, and GTM with a primary focus on translating Leviathan's capabilities into clear, differentiated value for enterprise and public sector customers deploying AI at the edge.ย 

You will alsoย be responsible forย building the category narrative, economic story, and commercial motion for Leviathan, targeting infrastructure investors, sovereign governments, energy companies, and enterprise buyers deploying AI in disconnected environments.ย 

This is a hands-on, operating PMM role, not a pure content or launch function. You will deeply understand how Leviathan works (AI infrastructure orchestration, distributed compute, deployment, and lifecycle management across cloud and edge environments) and turn that complexity into compelling positioning, messaging, and GTM execution.ย 

The ideal candidate thrives in ambiguity, is comfortable with highly technical products, and wants meaningful ownership over how a category-defining AI edge platform is understood, sold, and adopted.ย 

Location:ย United States (Flexible)ย 

Whatย You'llย Doย 

Product Marketing & Platform Positioning (Primary Focus)ย 

  • Own end-to-end positioning and messaging for Leviathan (AI Factory), including the category narrative and economic value story that holds up in investment and board-level conversations
  • Build and evolve a category-defining narrative for AI Factory platforms, and continuously refine positioning strategy as the market matures
  • Translate technical capabilities (AI orchestration, infra, deployment, lifecycle management) into clear customer value propositions

Define ICPs, buyer personas, use cases, and customer journeys across Leviathan's distinct customer profiles: ย 

  • Infrastructure investors and developers (e.g., neoclouds)
  • Sovereign governments
  • Energy and industrial operators
  • Defense and public sector programs

Partner with Product and Engineering to shape: ย 

  • Roadmap narratives
  • Platform packaging
  • Feature positioning
  • Lead platform and feature launches with high internal readiness and strong external clarity
  • Analyze competitive AI infrastructure, edge, and platform trends to define clear differentiationย 

AI Factory Use Cases & Vertical GTMย 

  • Develop use case-led narratives for AI Factory deployments across industries, including:ย 
  • Public sector & defense
  • Energy (oil & gas, utilities)
  • Mining
  • Telecommunications
  • Manufacturing
  • Map Leviathan capabilities to real-world AI deployment challenges: ย 
  • Limited connectivity
  • Data sovereignty
  • Security
  • Distributed operationsย 


Translate and message around key buying drivers, including:
ย ย 

  • Sovereign AI requirements
  • Power economics
  • Speed of deployment
  • Air-gapped and high-security environments
  • Offtake compute access
  • Support verticalized GTM motions in partnership with Sales and Solutions Engineeringย 

Go-to-Market & Sales Enablementย 

Build high-impact sales enablement assets explaining

  • What Leviathan is
  • Where it fits in the AI stack
  • Why it winsย 

Developย 

  • Messaging frameworks
  • Pitch decks and narratives
  • Solution briefs
  • Competitive battlecards
  • Develop collateral and messaging that supports Armada's offtake partner model, clearly articulating how access to a curated compute offtake network reduces buyer risk and accelerates investment decisionsย 

Partner with Sales, SEs, and Customer Success to:ย ย 

  • Drive pipeline creation
  • Support deal progression and win rates
  • Ensure consistent, technically accurate messaging across all GTM teams
  • Support technical documentation and top-of-funnel initiatives (demand generation, website, events) to ensure consistent and compelling messaging across the funnel
    ย 
Cross-Functional Collaborationย 
  • Act as the connective tissue between Product, Engineering, Sales, and Marketingย 

Bring customer and field insights into:ย ย 

  • Positioning updates
  • Messaging evolution
  • Product roadmap influence
  • Support analyst briefings and market education around AI infrastructure and edge AI platformsย 

Market & Customer Insightย 

  • Engage directly with customers to understand:ย 
  • AI deployment challenges
  • Buying criteria
  • Adoption barriersย 

Track the competitive landscape across:ย ย 

  • AI infrastructure platforms
  • Edge computing solutions
  • Distributed systems
  • Help shape how the market understands Armada's AI Factory vision and differentiation
    ย 
What Success Looks Likeย 
  • Clear, credible messaging that demystifies AI Factory's value
  • Sales teams confidently articulating value in complex, technical AI buying cycles
  • Product launches that drive measurable adoption and engagement
  • Strong pull from Product, Sales, and SE teams as a trusted GTM and narrative partner
    ย 
Required Qualificationsย 
  • 5-8+ years of experience in product marketing or related roles
  • Experience marketing technical platforms or infrastructure (AI, cloud, networking, or edge)
  • Proven ability to translate complex systems into customer-centric messaging
  • Strong cross-functional collaboration with Product and Engineering
  • Comfortable operating in fast-moving, ambiguous environmentsย 
Preferred Qualificationsย 

Background in:ย ย 

  • AI/ML infrastructure
  • Distributed systems
  • Networking or edge computing
  • Technical pre-sales or engineeringย 

Familiarity with:

  • AI deployment pipelines
  • Hybrid / edge cloud environmentsย 

Experience selling into:ย ย 

  • Enterprise
  • Government
  • Regulated industries
  • Exposure to early-stage or high-growth platform companies
    ย 
Why This Role at Armadaย 
  • Own how a category-defining AI Factory platform is positioned and scaled
  • Deep partnership with Product and Engineering at the frontier of AI deployment
  • Opportunity to shape an emerging market
  • Clear path to senior PMM or GTM leadership rolesย 

Impactย 

This role is critical to shaping how Leviathan is understood in theย market,ย  fromย category narrative and economic framing to technical positioning and commercial adoption.ย 

Compensation & Benefits

For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. ย In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits
  • Medical, dental, and vision (subsidized cost)
  • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
  • Retirement plan options, including 401(k) and Roth 401(k)
  • Unlimited paid time off (PTO)
  • 14 paid company holidays per year

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