Engineering Manager jobs in United States
Explore 486 matching jobs.
Engineering Manager – Personalization
Nordstrom
Posted: 10/20/2026CloudKubernetes
Head of Engineering, Applied AI
Theta
Posted: 10/20/2026AWSAzureCloudGoogle Cloud PlatformSparkTerraformC++
Senior Manager, Engineering Recruiting
OpenLoop
Posted: 10/20/2026Engineering Manager – Controls Engineering
Jabil
Posted: 10/20/2026Partner Business Manager, Software Sales
Hewlett Packard Enterprise
Posted: 10/20/2026AWSAzureCloud
Partner Business Manager, Software Sales
Hewlett Packard Enterprise
Posted: 10/20/2026AWSAzureCloud
Partner Business Manager, Software Sales
Hewlett Packard Enterprise
Posted: 10/20/2026AWSAzureCloud
Engineering Manager, DevOps
AAA Life Insurance Company
Posted: 10/20/2026CloudMicroservicesSDLC
Research & Engineering Manager
Kimberly-Clark
Posted: 10/20/2026Research & Engineering Manager
Kimberly-Clark
Posted: 10/20/2026Research & Engineering Manager
Kimberly-Clark
Posted: 10/20/2026Senior Avionics Hardware Engineering Manager – Lunar Permanence
BLUE ORIGIN
Posted: 10/20/2026Manager – Engineering, Managed Services
CDW
Posted: 10/20/2026Cloud
Senior Software Engineering Manager
General Motors
Posted: 10/20/2026AWSDockerJavaJavaScriptKubernetesPythonTypeScriptC++
Senior Engineering Manager, AgentExchange Go To Market App
Salesforce
Posted: 10/20/2026AWSAzureCloudGoogle Cloud PlatformJavaKubernetesTerraformGo
Vehicle Software Updates Engineering Manager
Ford Motor Company
Posted: 10/20/2026AssemblyCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformJenkinsSDLC
Engineering Manager
HungerRush
Posted: 10/19/2026AzureBootstrapCloudDistributed SystemsJavaScriptReactRedisSQLVue.js
Head of Engineering, Data Science
Theta
Posted: 10/19/2026AWSAzureCloudGoogle Cloud PlatformSparkTerraformC++
Engineering Manager – Preparedness
OpenAI
Posted: 10/19/2026Distributed Systems
Engineering Manager, AI
Thomson Reuters
Posted: 10/19/2026AWSCloudJavaScriptNode.jsPythonReactTypeScript
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams and managing high-scale machine learning systems, with a focus on delivering reliable and high-quality personalization solutions. Proficient in translating technical work into business value while advocating for team growth and innovation.
Highest-signal resume keywords
Machine Learning EngineeringTeam LeadershipProduction ML SystemsCloud InfrastructureAgile Delivery
Tech Stack
Tools & technologiesCloudKubernetes
About the role
Key responsibilities & impact- Define the technical direction for Personalization, including behavioral and product signals, ranked recommendations, and complete-look outfits
- Build alignment across product, data science, and platform teams
- Lead and develop a team of engineers into technical leaders
- Own delivery, reliability, and team health for the Personalization Engine
- Operate a high-scale personalization platform supporting Nordstrom and Nordstrom Rack digital experiences
- Raise standards for model quality, data quality, and observability
- Operate as a player-coach through architecture, code reviews, and incident response
- Establish AI-native planning, building, and shipping practices
- Set priorities, commit to dates, and deliver consistently
- Represent the team to business and senior leadership
- Translate complex model and platform work into clear business value
- Advocate for the team and develop a vision for expanding its scope and projects
Requirements
What you’ll need- 5+ years of relevant work experience in software or machine learning engineering
- 2+ years of experience managing engineering teams, or strong tech-lead experience ready to step into people management
- Experience building and operating production ML or recommendation systems at scale
- Experience with training pipelines, low-latency model serving, cloud infrastructure, and Kubernetes-based platforms
- Track record of improving reliability, including SLOs, on-call health, incident response, and post-incident learning
- Demonstrated agile delivery discipline
- Experience influencing without authority and communicating with candor
- BA/BS in Computer Science or a closely related field, or equivalent practical experience
- Hands-on experience with Vertex AI or comparable managed ML training platforms
- Experience leading an end-to-end migration, such as moving ML serving workloads between cloud and in-house platforms
- Background in retail, e-commerce, or marketing technology
- Experience applying generative AI and agentic tooling to engineering workflows or customer experiences
- Familiarity with sequential or transformer-based recommendation approaches
- Must be available to work in the office at Nordstrom corporate headquarters a minimum of 4 days/week
Benefits
Comp & perks- Medical/Vision insurance
- Dental insurance
- Retirement plan / 401k
- Paid Time Away / PTO accruals
- Life insurance
- Disability insurance
- Merchandise discount
- EAP resources
- Holidays
- Performance-based incentives/bonuses may be available
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringModel ServingTraining PipelinesKubernetesGenerative AIRecommendation SystemsData QualityIncident ResponsePost-Incident LearningAI-Native Practices
Soft Skills
Influencing Without AuthorityEffective CommunicationTeam Advocacy
Tools & Technologies
Vertex AICloud PlatformsAgile Methodologies
Certifications & Qualifications
BA/BS in Computer Science
Industry Keywords
RetailE-CommerceMarketing Technology
