Note: The job is a remote job and is open to candidates in USA. Target is a company focused on helping families discover the joy of everyday life. They are seeking a Senior Engineering Manager for their Advanced AI team to lead a full-stack engineering team in building and maintaining high-quality AI/ML applications that deliver business value.
Responsibilities
- 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, balancing speed, quality, scalability, maintainability and business impact
- Coach and mentor engineers across AI/ML engineering, full-stack software engineering and data engineering
- Manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes
- Stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns
Skills
- 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 with a strong track record of delivering complex, cross-functional technology initiatives
- Experience leading or working closely with teams of Data Scientists, AI/ML Engineers, Software Engineers and Data Engineers
- Strong technical understanding of modern AI/ML application development including building and operating end-to-end systems in production (ML Ops)
- Demonstrated experience with LLM-powered applications, agentic architectures, applied machine learning systems, data-intensive applications, or intelligent automation solutions
- Strong proficiency with Python programming - experience with additional languages such as Java, Kotlin, Go, TypeScript, or similar a plus
- Experience designing, building and operating scalable APIs, services, data pipelines, applications and data platforms
- Strong understanding of cloud infrastructure, CI/CD, observability, reliability engineering, secure software development and enterprise technology standards
- Excellent written and verbal communication skills with the ability to explain complex technical concepts to engineers, applied data scientist, stakeholders and Sr leadership
- Demonstrated ability to manage ambiguity, align stakeholders, influence technical direction and drive clarity across competing priorities
- Passion for coaching, mentoring, talent development, and building inclusive, high-performing global engineering teams
- Successful track record of working in large enterprise technology ecosystems leading complex technology teams
- Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly
Benefits
- Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
Company Overview
Company H1B Sponsorship