Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Target

Senior Engineering Manager – Advanced AI, Applied ML, LLMs, Deep Learning

Target

Sr Engineering Manager leading a full-stack team building AI/ML applications at Target. Overseeing technical decisions and managing stakeholder expectations in a dynamic environment.

Posted 7/13/2026full-timeBrooklyn Park • Minnesota • 🇺🇸 United StatesSenior💰 $132,000 - $238,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading full-stack engineering teams to develop and maintain AI/ML applications, with a strong focus on architecture, infrastructure, and secure software development. Proficient in managing stakeholder expectations and defining technical roadmaps to ensure project success.

Highest-signal resume keywords
AI/ML Application DevelopmentPython ProgrammingCloud InfrastructureEngineering Team ManagementCI/CD

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentArchitecture DesignData ManagementAPI DevelopmentReliability EngineeringObservabilitySecurity Best PracticesJavaKotlinGo
Soft Skills
Stakeholder ManagementCommunicationPrioritizationRisk ManagementClarity Creation
Certifications & Qualifications
4-Year Degree
Industry Keywords
Enterprise Technology StandardsTechnical RoadmapApplication Design

Tech Stack

Tools & technologies
CloudGoJavaKotlinPythonTypeScript

About the role

Key responsibilities & impact
  • Lead a full-stack engineering team responsible for building, deploying, and maintaining high-quality AI/ML applications
  • Guide technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security
  • Define and evolve the technical roadmap for AI applications
  • Manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes

Requirements

What you’ll need
  • 4-year degree or equivalent industry experience
  • 7+ years of engineering experience including hands-on software development experience
  • 3+ years of experience managing engineering teams
  • Strong technical understanding of modern AI/ML application development
  • Strong proficiency with Python programming, experience with additional languages such as Java, Kotlin, Go, TypeScript or similar a plus
  • Strong understanding of cloud infrastructure, CI/CD, observability, reliability engineering, secure software development and enterprise technology standards

Benefits

Comp & perks
  • comprehensive health benefits including medical, vision, dental, life insurance
  • 401(k)
  • employee discount
  • short term disability
  • long term disability
  • paid sick leave
  • paid national holidays
  • paid vacation