Group Product Manager Jobs in Seattle, WA
Group Product Manager jobs in Seattle are concentrated in South Lake Union, Capitol Hill, and the Eastside corridor, driven by demand in cloud infrastructure, enterprise software, and consumer technology. Employers hiring right now include Moloco, Saviynt, and Deloitte. Find a role that fits below and apply directly.
Find Group Product Manager JobsOverview
Showing 5 of 18+ Group Product Manager jobs
DESCRIPTION
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput.
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation.
Key job responsibilities
- Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented
- Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production
- Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization
- Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible
- Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments
- Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone
- Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities
- Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality
- Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations
- Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver
- Write clear narratives and documentation describing scientific solutions and design choices
BASIC QUALIFICATIONS
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience delivering products to volume production
- PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings
- Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling
- Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines
- Demonstrated technical contributions through publications, patents, or impactful production systems
PREFERRED QUALIFICATIONS
- 8+ years of experience in applied science or research with progressive scope and impact
- Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control
- Experience with Theory of Constraints or flow-based production optimization
- Experience with real-time decision systems that operate under uncertainty
- Experience with sim-to-real transfer or physics-informed machine learning
- Experience with AWS services including SageMaker, and familiarity with MLOps practices
- Experience with AI-native development practices and AI coding assistants
- Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput.
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation.
Key job responsibilities
- Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented
- Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production
- Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization
- Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible
- Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments
- Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone
- Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities
- Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality
- Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations
- Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver
- Write clear narratives and documentation describing scientific solutions and design choices
BASIC QUALIFICATIONS
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience delivering products to volume production
- PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings
- Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling
- Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines
- Demonstrated technical contributions through publications, patents, or impactful production systems
PREFERRED QUALIFICATIONS
- 8+ years of experience in applied science or research with progressive scope and impact
- Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control
- Experience with Theory of Constraints or flow-based production optimization
- Experience with real-time decision systems that operate under uncertainty
- Experience with sim-to-real transfer or physics-informed machine learning
- Experience with AWS services including SageMaker, and familiarity with MLOps practices
- Experience with AI-native development practices and AI coding assistants
- Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
See All 18 Group Product Manager Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Group Product Manager JobsGroup Product Manager Job Market in Seattle
Who's Hiring
- Moloco4
- Saviynt2
- Deloitte2
- Amazon2
- Amazon Web Services2
Top Industries Hiring
- Technology & Software9
- Retail3
- Consulting & Professional Services3
- Accounting & Auditing2
- Distribution & Wholesale2
Group Product Manager Jobs in Seattle: Frequently Asked Questions
How do I get a group product manager job in Seattle?
Target Seattle's densest hiring pockets first: cloud and enterprise software companies in South Lake Union and Bellevue, and consumer tech and marketplace businesses headquartered downtown. Candidates who demonstrate experience leading multi-team roadmap alignment and influencing without authority tend to stand out here, where cross-functional scope is large. Showing familiarity with how platform-scale products are built and shipped in high-growth environments sharpens your competitive position in this market.
Which companies hire group product managers in Seattle?
Companies currently hiring group product managers in Seattle include Moloco, Saviynt, and Deloitte, per current listings on Migrate Mate as of June 2026. Seattle's employer mix skews heavily toward large technology platforms and cloud-native companies, with a growing share of fintech and health-tech firms that have established product organizations in the region.
Are there remote group product manager jobs in Seattle?
Yes, though availability depends on company structure, since group product manager roles often require close coordination with engineering and design leads. About 11% of group product manager openings tied to Seattle are remote or hybrid as of June 2026, reflecting how broadly distributed teams have become in the region. Strategic and platform-level work tends to be the most remote-accessible, while roles tied to hardware or in-person user research skew on-site.
How can I get a group product manager job in Seattle with little or no experience?
The most realistic entry path in Seattle is moving laterally from a senior individual-contributor product manager role into a group PM position as a company scales, since Seattle's large technology employers promote internally at that transition point more than they hire externally for it. Target growth-stage companies in South Lake Union or Bellevue that are building out product leadership layers, and look for lead PM or principal PM roles that explicitly carry people management upside, which are the clearest local on-ramps.
Which industries hire the most group product managers in Seattle?
Seattle group product manager roles concentrate in Technology & Software, Retail, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. Seattle's identity as a cloud computing and enterprise software hub means product leadership demand is especially deep in platform and infrastructure businesses, which consistently need group PMs to coordinate large, multi-squad product areas.
Related Jobs in Washington
See All 18 Group Product Manager Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Group Product Manager Jobs