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Design Operations Manager Jobs in Oregon (NOW HIRING)

OR ยท On-site

Design, improve, and manage data models, reporting platforms, data automation solutions, dashboards ... A proven record of large-scale computing operations and planning is a plus. * Strong technical ...

OR ยท On-site

... design and optimization, including standardization and continuous improvement of delivery workflows ... making Manage billing operations and escalations, ensuring timely, accurate invoicing and ...

Senior Talent Attraction Operations Manager

OR ยท Remote

$151K - $152K/yr

As the Senior Talent Attraction Operations Manager, you will design and lead the operating system behind great hiring, standardizing how Talent Attraction works across the enterprise and continuously ...

Underground Operations Supervisor

Portland, OR ยท On-site

$95K - $105K/yr

... design, optimize, and execute complex infrastructure projects with confidence and precision. We ... Collaborate with Regional Directors, Foremen, and Project Managers to align on goals, expectations ...

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Showing results 1-20

Design Operations Manager information

See Oregon salary details

$32.8K

$67.1K

$125.3K

How much do design operations manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for design operations manager in Oregon is $67,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $81,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Design Operations Manager, and why are they important?

To thrive as a Design Operations Manager, you need expertise in project management, design process optimization, and a solid understanding of design principles, often supported by a degree in design, business, or a related field. Familiarity with tools like Asana, Jira, Figma, and resource management systems, as well as certifications like PMP or Agile, is highly beneficial. Exceptional communication, problem-solving, and stakeholder management skills help you bridge gaps between creative and operational teams. These skills are vital for streamlining workflows, ensuring project delivery, and driving alignment across multidisciplinary teams.

How does a Design Operations Manager typically collaborate with cross-functional teams to improve workflow efficiency?

A Design Operations Manager works closely with design, product, engineering, and marketing teams to streamline processes, set clear priorities, and remove obstacles that hinder productivity. They often facilitate regular check-ins, build and optimize workflows, and implement tools or systems that foster communication and transparency. By acting as a liaison and ensuring alignment between departments, they help the broader team deliver high-quality design work on time, while also identifying opportunities to refine processes for future projects.

What is the difference between Design Operations Manager vs UX Designer?

AspectDesign Operations ManagerUX Designer
Primary FocusOversees design processes, tools, and team workflowsDesigns user experiences and interfaces
Required SkillsProject management, process optimization, leadershipUser research, wireframing, prototyping
Work EnvironmentCollaborates with design teams, product managers, and developersWorks directly on user interface and experience design
Common CertificationsProject Management Professional (PMP), Agile certificationsUX certifications (e.g., NN/g, Human Factors)

The Design Operations Manager focuses on streamlining design workflows and managing teams, while the UX Designer concentrates on creating engaging user experiences. Both roles often collaborate but serve different functions within the design process.

What are Design Operations Managers?

Design Operations Managers are professionals who streamline and optimize processes within design teams to improve efficiency, collaboration, and the quality of creative output. They bridge the gap between design, product, and business operations by implementing workflows, managing resources, and ensuring projects stay on track. Their responsibilities often include project management, budget oversight, and facilitating communication across teams. By establishing best practices and removing operational barriers, Design Operations Managers enable designers to focus more on creative work and innovation.
What are the most commonly searched types of Design Operations jobs in Oregon? The most popular types of Design Operations jobs in Oregon are:
What are popular job titles related to Design Operations Manager jobs in Oregon? For Design Operations Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Design Operations Manager jobs in Oregon look for? The top searched job categories for Design Operations Manager jobs in Oregon are:
What cities in Oregon are hiring for Design Operations Manager jobs? Cities in Oregon with the most Design Operations Manager job openings:
Infographic showing various Design Operations Manager job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,091 per year, or $32.3 per hour.
Capacity Operations Manager

Capacity Operations Manager

Nvidia

OR โ€ข On-site

Full-time

Posted 23 days ago


Job description

Our technology is limitless! NVIDIA is developing the world's most innovative and groundbreaking computing platforms. Due to our work, scientists, researchers, and engineers are able to advance their ideas. At its essence, our visual computing technology offers not only an outstanding computing experience but also energy efficiency! We led the way in a supercharged style of computing embraced by the fastest-moving computer users globally-scientists, designers, artists, and gamers. However, it's more than just technology! It's our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, inventive, and dynamic workplaces! At the core of NVIDIA are values such as innovation, excellence, determination, and collaboration that inspire us to achieve our best.

What you will be doing:

  • Coordinate the development of High Performance Computing (HPC) clusters, collaborating closely with internal and external engineering teams.

  • Direct and improve GPU capacity and additional compute resources across diverse cloud service platforms to satisfy rising needs and secure efficient deployment.

  • Design, improve, and manage data models, reporting platforms, data automation solutions, dashboards, and performance measures that back NVIDIA Infrastructure governance programs and strategic capacity decisions.

  • Assess the technical and business requirements for GPU capacity and other compute resources from different internal and external groups.

  • Identify performance bottlenecks in day-to-day usage of compute resources and collaborate with relevant infrastructure teams to resolve them.

  • Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams.

  • Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance for NVIDIA and its customers. This includes crafting and developing tools for automating workflows and potentially bringing to bear AI techniques to extract useful signals and insights from generated data.

  • Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams to align cloud capacity management with company goals and develop Infrastructure and Service Level benchmarks to match Customer satisfaction.

What we need to see:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

  • 8+ years of overall experience in cloud computing, specifically in managing or using GPU capacity for high performance computing. A proven record of large-scale computing operations and planning is a plus.

  • Strong technical proficiency in cloud architecture, development and deployment, and managing large data sets. Experience with command line interfaces and shell scripting languages.

  • Comprehensive knowledge of cloud service models (IaaS, PaaS, SaaS) and cloud infrastructure technologies. Practical experience with Cloud Service Providers including AWS, Azure, GCP, and OCI is essential.

  • Demonstrated experience in bringing to bear AI tools and techniques to extract useful signals and insights from data, specifically to improve resource usage and automation.

  • Deep knowledge and active use of statistical modeling and machine learning approaches for boosting operational efficiency and supporting strategic capacity decisions.

  • Understanding of analytics, statistical modeling, and machine learning methodologies.

  • Strong communication and relationship-building skills, with the ability to work well across different departments and contribute to strategic decisions.

  • Self-starter, self-motivated, focused, and self-sufficient, with a willingness to learn new challenges and adapt quickly in a dynamic environment.

  • Ability to operate effectively amidst uncertainty and rapidly changing business conditions, with an agile approach and a commitment to ongoing improvement.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered one of the technology world's most desirable employers. Some of the world's most forward-thinking and hardworking people are working for us. If you're creative and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993