Jobs at Target

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Leads the design, development, deployment, and operation of production-grade full-stack applications integrating AI/ML, LLMs, retrieval-augmented generation, and agentic systems. Builds frontend experiences, backend services, APIs, integrations, and data workflows while guiding architecture, security, reliability, testing, observability, and operational readiness. Partners with AI/ML engineers, data scientists, product teams, security, and business stakeholders; mentors engineers and establishes reusable engineering practices.

Leads engineering teams responsible for Target’s transportation technology, including carrier scheduling, shipment movement, yard operations, documentation, and system integrations. Owns engineering strategy, product delivery, reliability, security, modernization, production operations, staffing, and talent development. Partners with Product, business, operations, and external technology providers to deliver resilient distributed systems, APIs, event-driven services, and scalable enterprise platforms.

Designs, builds, operates, and improves managed Kubernetes platform services across public cloud, hybrid, and on-premises environments. Develops Go-based automation, controllers, and tooling; manages cluster provisioning, upgrades, networking, storage, observability, security, GitOps, and incident response. Leads technical design discussions, mentors engineers, documents operational practices, and drives reliability, resilience, and performance improvements.

Conduct all-source cyber threat intelligence analysis using internal telemetry, external reporting, open-source research, and security investigations. Analyze indicators, threat actors, malware, vulnerabilities, infrastructure, and campaigns; produce intelligence reports and briefings; support detection, incident response, threat hunting, and risk prioritization. Collaborate with security teams and external partners, apply structured intelligence frameworks, and improve CTI processes, tools, collection, and dissemination workflows.

Design and deliver AI-powered cybersecurity capabilities for external attack-surface reconnaissance, management, and safe vulnerability validation. Build and integrate security tools, evaluate AI and agentic workflow technologies, automate security operations, and apply offensive-security and secure software development principles. Partner cross-functionally to create scalable security patterns, prototype solutions, assess risks, and provide subject matter expertise in asset discovery, enumeration, vulnerability assessment, and controlled security testing.

The Lead Engineer will provide technical leadership, innovate with architectural decisions, and contribute hands-on to building scalable systems while integrating AI capabilities and optimizing data governance.

Own the vision, strategy, roadmap, and outcomes for a technical Core Data and Decision Intelligence product. Lead discovery, experimentation, prioritization, delivery, and measurement in partnership with Engineering, Data Science, UX, and Store Operations. Translate operational signals and business problems into scalable intelligent capabilities, balancing accuracy, latency, explainability, scalability, and value. Drive adoption, product health, continuous learning, stakeholder alignment, and reusable solutions across store experiences.

Develop and maintain scalable, secure software components and services. Responsibilities include coding, code and design reviews, technology evaluation, automation, debugging, integration and regression testing, disaster recovery, capacity monitoring, incident and change management, and resolving technical issues. The role also contributes to architecture, lifecycle management, proof-of-concept initiatives, and operational reliability.

Build and support scalable full-stack applications for Target’s Safe & Secure platform. Develop APIs, integrations, and event-driven services using modern engineering practices. Contribute to architecture, platform modernization, GenAI capabilities, reliability, security, observability, and production support. Collaborate with product, security, and operations teams while mentoring engineers and delivering enterprise-scale solutions across access management, safety communications, and crisis management systems.

Lead full-stack engineering for production-grade AI applications, including user experiences, APIs, backend services, integrations, and data-driven workflows. Drive architecture, system design, security, scalability, testing, deployment, observability, and operational support. Collaborate with AI/ML engineers, data scientists, product partners, and business stakeholders to deliver practical AI-powered solutions. Provide technical leadership, mentor engineers, resolve implementation risks, establish reusable engineering patterns, and maintain high standards for reliable, accessible, and maintainable applications.

Lead design, build, deploy, and maintain production-grade AI/ML systems (LLMs, agentic architectures, classical ML). Provide hands-on technical leadership across architecture, model selection, implementation, testing, deployment, observability, and operational support while collaborating with data scientists, platform and security teams and mentoring engineers.

Lead a portfolio of Core Intelligence products to transform operational and physical signals into trusted context and recommendations. Define vision and strategy, partner with Engineering, Data Science and UX, drive discovery, experimentation and scalable AI/ML capabilities, coach Product Managers, and influence cross-functional stakeholders to deliver measurable outcomes for Target stores.

Leads accounting operations and a team of 4–5, overseeing inventory accounting, month-end close, financial reporting, reconciliations, SOX controls, audits, and process improvement. Partners with Finance, Accounting, Operations, Technology, and business teams; analyzes data, supports forecasting, manages system changes, develops talent, drives automation, and prepares regulatory and 10-K reporting support.

Leads the strategy, vision, financials, and outcomes for Roundel’s sales and revenue platforms. Builds and coaches product teams, drives discovery and prioritization, defines OKRs, and partners with engineering, architecture, sales, finance, operations, data, and external providers. Oversees enterprise workflows spanning advertiser opportunity, sales execution, billing, collections, and revenue realization. Uses automation, analytics, and AI to improve productivity, decision-making, scalability, compliance, and revenue growth.

Lead UX Operations for AI Enablement by defining frameworks, workflows, and governance to design, test, and scale AI-enabled and agentic experiences. Run pilot programs, measure adoption, partner with L&D to deliver training, and translate learnings into playbooks and operating models that ensure human-agent collaboration, accessibility, ethics, and quality across product development.

Lead the architecture and technical direction of Target’s tax technology applications and services. Design scalable, resilient distributed systems, integrations, and data flows; lead modernization, performance improvements, testing, deployment, and production support. Partner with Tax, Finance, Product, and engineering stakeholders, evaluate technologies, conduct architecture and code reviews, and mentor engineers. The role supports high-volume transactional systems, tax platforms, compliance needs, and enterprise integrations.

Design and prototype agentic AI experiences, including multi-agent interactions, cross-domain surfaces, trust signals, guardrails, human-in-the-loop moments, and provenance. Partner with product and engineering teams to turn early concepts into scalable product directions. Create rapid demonstrations, journey maps, flows, and prototypes while developing new design methods for ambiguous, systems-level problems.

Leads a CSIRT shift responsible for security alert intake, triage, incident response, containment, recovery, and post-incident analysis. Develops response frameworks, coordinates major incidents, reports trends to leadership, mentors analysts, tests readiness through simulations, integrates threat intelligence, and automates response processes. The role requires technical leadership, team management, and hands-on expertise across monitoring, detection, digital forensics, cloud security, threat hunting, and security operations.

Build and operate scalable Google Cloud platform capabilities, infrastructure automation, APIs, and self-service tooling. Develop cloud services in Golang, implement Infrastructure as Code, and advance GitOps, Kubernetes, observability, security, governance, and cost optimization. Troubleshoot cloud infrastructure and networking issues, guide technical decisions, establish engineering standards, and support migration and implementation initiatives. Partner with engineering and application teams to improve developer productivity, reliability, scalability, and operational excellence.