Group Account Director Jobs in Seattle, WA
Group Account Director jobs in Seattle, Washington are open across the metro, with employers like Moloco, Saviynt, and Deloitte hiring at every experience level. Scan the live roles below and apply to whichever ones fit.
Find Group Account Director JobsOverview
Open roles18
Top employerMoloco
Work type89% On-site
Top credentialBachelor's
Companies hiring11
Showing 5 of 18+ Group Account Director jobs
Senior Applied Scientist, Industrial Robotics Group
We won't show you this job again
Added 1w ago
Amazon.com
Senior Applied Scientist, Industrial Robotics Group
Seattle, Washington
Added 1w ago
Tax Senior, National Federal Tax Services - Inventory Group
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Added 2w ago
Deloitte
Tax Senior, National Federal Tax Services - Inventory Group
Seattle, Washington
Added 2w ago
Senior Relationship Manager OR Senior Banker, Income Property Group
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Added 2w ago
KeyBank
Senior Relationship Manager OR Senior Banker, Income Property Group
Seattle, Washington
Added 2w ago
Group Product Manager, Horizontal Solutions, AI Foundations
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Added 2w ago
Google
Group Product Manager, Horizontal Solutions, AI Foundations
Seattle, Washington
Added 2w ago
Principal Infrastructure Technical Program Manager, Industrial Robotics Group
We won't show you this job again
Added 3w ago
Amazon.com
Principal Infrastructure Technical Program Manager, Industrial Robotics Group
Seattle, Washington
Added 3w ago
Added 1w ago
Senior Applied Scientist, Industrial Robotics Group
Amazon.com·Seattle, Washington
Job functions:
$167k - $226k/yr
8+ yrs exp.
Master's
Full Time
10,000+ employees
Job Description
DESCRIPTION
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems.
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
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
Amazon.com
Senior Applied Scientist, Industrial Robotics Group
Seattle, Washington
Added 1w ago10,000+ employees
Job functions:
$167k - $226k/yr
8+ yrs exp.
Master's
Full Time
Job Description
DESCRIPTION
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems.
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
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 Account Director Jobs in Seattle
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Find Group Account Director JobsGroup Account Director 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 Account Director Jobs in Seattle: Frequently Asked Questions
How many group account director jobs are there in Seattle?
There are 18+ group account director openings in Seattle, Washington on Migrate Mate as of June 2026. New positions post regularly as Seattle employers hire.
Which companies hire group account directors in Seattle?
Employers hiring group account directors in Seattle include Moloco, Saviynt, and Deloitte, based on current listings on Migrate Mate as of June 2026.
Are there remote group account director jobs in Seattle?
Yes. About 11% of group account director openings tied to Seattle are remote or hybrid as of June 2026. The rest are on-site roles based in and around Seattle.
Which industries hire the most group account directors in Seattle?
The sectors hiring the most group account directors in Seattle are Technology & Software, Retail, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026.
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See All 18 Group Account Director Jobs in Seattle
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