Staff AI Product Manager Jobs in Oregon
Staff AI Product Manager jobs in Oregon are concentrated in Portland's dense tech corridor and, to a lesser extent, in Hillsboro and Beaverton, where Intel, Nike, and Salesforce maintain substantial product and engineering offices. Demand is consistent at the staff level, with the strongest hiring in MLOps tooling, AI-native consumer products, and enterprise software. Most openings require experience leading cross-functional teams through the full AI model lifecycle, from discovery to deployment. Scan the live roles below and apply to whichever ones fit.
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Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!
About the Role
As an AI Accelerator Principal Software Engineer – Runtime Library, you will lead the design, development, and optimization of AI runtime software that enables multiple state-of-the-art deep learning models to run efficiently on Ampere’s deep learning accelerators. You will work at the intersection of systems software, performance engineering, and AI enablement, helping deliver high-throughput, low-latency inference and a strong foundation for future model and framework support.
What You’ll Achieve:
- Build and evolve an AI Runtime Library for Ampere accelerators that supports execution, scheduling, and lifecycle management of deep learning workloads across multiple model types and popular frameworks.
- Own end-to-end acceleration paths, going deep into the full SW/HW stack—including:
- Inference serving and integration layers
- Compiler/runtime interfaces and graph/IR execution flows
- Runtime library architecture (APIs, memory management, operators, execution engines)
- Communication mechanisms and device/host orchestration
- Drive HW/SW co-design and optimization to improve:
- Throughput (tokens/requests per second)
- Latency (kernel execution and scheduling efficiency)
- Memory efficiency (buffering, paging, reuse, caching)
- Overall compute utilization and scaling behavior
- Contribute to AI co-processor/accelerator software enablement, partnering closely with hardware and systems teams to ensure runtime and kernel strategies match accelerator capabilities and constraints.
- Collaborate cross-functionally to integrate runtime components into Ampere platform stacks, ensuring robust deployment on target environments and consistent performance in production-like workloads.
About You:
- BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years
- Proven experience developing user-mode drivers and/or runtime libraries for GPUs or deep learning accelerators in Linux or RTOS environments.
- Strong expertise in C/C++ and systems-level programming (memory, threading, synchronization, performance profiling).
- Demonstrated background in AI framework enablement, with hands-on experience in one or more of:
- PyTorch (operator/runtime integration, graph execution, correctness/performance work)
- llama.cpp (inference/runtime execution patterns)
- ONNX (graph handling, interoperability, execution engines)
- Strong performance engineering skills, including profiling/diagnostics and optimization of execution pipelines, data movement, and compute kernels.
Ability to operate effectively in a collaborative environment—owning complex components while partnering with compilers, hardware, and platform teams.
What We’ll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid#LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.
Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!
About the Role
As an AI Accelerator Principal Software Engineer – Runtime Library, you will lead the design, development, and optimization of AI runtime software that enables multiple state-of-the-art deep learning models to run efficiently on Ampere’s deep learning accelerators. You will work at the intersection of systems software, performance engineering, and AI enablement, helping deliver high-throughput, low-latency inference and a strong foundation for future model and framework support.
What You’ll Achieve:
- Build and evolve an AI Runtime Library for Ampere accelerators that supports execution, scheduling, and lifecycle management of deep learning workloads across multiple model types and popular frameworks.
- Own end-to-end acceleration paths, going deep into the full SW/HW stack—including:
- Inference serving and integration layers
- Compiler/runtime interfaces and graph/IR execution flows
- Runtime library architecture (APIs, memory management, operators, execution engines)
- Communication mechanisms and device/host orchestration
- Drive HW/SW co-design and optimization to improve:
- Throughput (tokens/requests per second)
- Latency (kernel execution and scheduling efficiency)
- Memory efficiency (buffering, paging, reuse, caching)
- Overall compute utilization and scaling behavior
- Contribute to AI co-processor/accelerator software enablement, partnering closely with hardware and systems teams to ensure runtime and kernel strategies match accelerator capabilities and constraints.
- Collaborate cross-functionally to integrate runtime components into Ampere platform stacks, ensuring robust deployment on target environments and consistent performance in production-like workloads.
About You:
- BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years
- Proven experience developing user-mode drivers and/or runtime libraries for GPUs or deep learning accelerators in Linux or RTOS environments.
- Strong expertise in C/C++ and systems-level programming (memory, threading, synchronization, performance profiling).
- Demonstrated background in AI framework enablement, with hands-on experience in one or more of:
- PyTorch (operator/runtime integration, graph execution, correctness/performance work)
- llama.cpp (inference/runtime execution patterns)
- ONNX (graph handling, interoperability, execution engines)
- Strong performance engineering skills, including profiling/diagnostics and optimization of execution pipelines, data movement, and compute kernels.
Ability to operate effectively in a collaborative environment—owning complex components while partnering with compilers, hardware, and platform teams.
What We’ll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid#LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.
See All 70 Staff AI Product Manager Jobs in Oregon
Find roles in Oregon that match your experience and apply in just a few clicks.
Find Staff AI Product Manager JobsStaff AI Product Manager Jobs by City in Oregon
Where Oregon roles are concentrated, by current openings.
Staff AI Product Manager Job Market in Oregon
A snapshot from current Oregon openings, updated as new roles post.
Who's Hiring
- Lam Research6
- Intel5
- Intel Corporation5
- CVS Health4
- Ampere Computing3
Top Industries Hiring
- Electronics & Hardware14
- Technology & Software8
- Healthcare & Medical Services6
- Consulting & Professional Services5
- Construction & Real Estate2
What Oregon Employers Look For
The qualifications that appear most often in staff AI product manager jobs across Oregon.
- Seven or more years of product management experience with at least two in AI or ML products
- Demonstrated ownership of shipped AI or ML features in production environments
- Strong command of model evaluation, data pipelines, and responsible AI frameworks
- Experience working directly with applied research or data science teams on roadmap decisions
- Bachelor's degree in computer science, engineering, or a closely related technical field
- Familiarity with agile product development and cross-functional stakeholder alignment at scale
Staff AI Product Manager Jobs in Oregon: Frequently Asked Questions
How do you become a staff ai product manager in Oregon?
Reaching the staff level in Oregon typically requires a technical bachelor's degree and several years of product management experience that includes shipping AI or ML features. There is no state-issued license for this role. Oregon employers, especially those in Portland's technology sector, weight hands-on ownership of AI product cycles heavily, so a portfolio demonstrating shipped models and measurable outcomes is often more persuasive than credentials alone.
Which companies hire staff ai product managers in Oregon?
Oregon staff ai product manager roles are posted by Lam Research, Intel, and Intel Corporation and others right now, based on current listings on Migrate Mate as of July 2026. Oregon's concentration of global technology and semiconductor firms means many of these openings sit within large, multi-product organizations with dedicated AI divisions.
Which Oregon cities have the most staff ai product manager jobs?
Portland, Hillsboro, and Oregon lead Oregon for staff ai product manager openings. Portland anchors the market as the state's primary technology hub, while Hillsboro and Beaverton draw additional demand from Intel's large semiconductor and AI hardware operations, which pull software product talent into the broader Washington County corridor.
Are there remote staff ai product manager jobs in Oregon?
Yes, and more than most fields. About 69% of staff ai product manager openings tied to Oregon are remote or hybrid as of July 2026, reflecting how collaborative but screen-based the work is. Strategic and discovery work, roadmap planning, and stakeholder reviews transfer cleanly to remote settings, though teams building hardware-integrated AI products often prefer candidates who can be on-site periodically.
How can I get hired as a staff ai product manager in Oregon with little or no experience?
The most realistic entry path is moving into AI product work from an adjacent role such as data analyst, machine learning engineer, or associate product manager at an Oregon technology company. Portland-area employers including those in fintech, health technology, and enterprise software regularly hire APMs and rotate them through AI-focused teams. Building a portfolio of case studies that show model evaluation decisions, user research synthesis, and tradeoff reasoning gives candidates without a direct title history a concrete way to demonstrate readiness.
Where can I find and apply to staff ai product manager jobs in Oregon?
You can find and apply to staff ai product manager jobs in Oregon on Migrate Mate, which lists current Oregon openings. Search the roles available, identify the ones that fit your experience and target industry, and apply directly to each.
See All 70 Staff AI Product Manager Jobs in Oregon
Find roles in Oregon that match your experience and apply in just a few clicks.
Find Staff AI Product Manager Jobs