Jobs at Target

Design and build platform services for an agentic analytics layer connecting users and agents to governed analytical data. Work spans agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and production reliability in a collaborative engineering environment.

Leads Stores UX Research strategy and manages three researchers. Sets priorities, coaches the team, partners with senior Product, Design, Technology, Operations, and Data Science leaders, and connects research to product decisions and measurable outcomes. Develops foundational research assets, improves insight activation, and explores responsible AI and automation for research planning, analysis, synthesis, and reporting while maintaining ethics and rigor.

Build and maintain scalable batch and real-time data pipelines and services for finance systems. Develop ETL workflows, data models, APIs, and distributed processing solutions using Spark, cloud platforms, and SQL. Ensure data governance, security, and quality while collaborating with engineers, product teams, and business stakeholders to troubleshoot, optimize, and improve system reliability.

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.

Designs, builds, and operates highly available compute and private cloud infrastructure. Develops Go-based platform services, REST/gRPC APIs, microservices, and virtualization capabilities using Linux, KVM, and libvirt. Automates provisioning and operations with Ansible, implements observability, and troubleshoots production issues across compute, networking, storage, and virtualization. Participates in architecture and code reviews, incident response, root-cause analysis, and production support while guiding engineers and improving platform reliability, scalability, and recovery.

Define long-term architecture and technical strategy for Target's enterprise ML/Ops platform. Design cloud-native, scalable, secure Kubernetes-based platforms; establish ML lifecycle, deployment, governance, observability, and responsible AI standards; evaluate technologies; mentor engineers; and partner with infrastructure, security, and product teams to modernize platform capabilities.

Leads and develops a customer-facing Forward Deployed Engineering team that accelerates adoption of Target’s AI platforms. Provides architecture guidance, technical onboarding, prototyping, implementation support, and developer enablement. Partners with platform, product, security, responsible AI, and business teams to create scalable AI solutions and reusable engineering patterns. Oversees governance, support channels, platform adoption, documentation, and continuous improvements while remaining involved in architecture, code reviews, and complex technical problem-solving.

Leads enterprise technology modernization strategy and execution across distributed engineering, infrastructure, architecture, product, and business teams. Directs technical program managers and engineers, establishes modernization roadmaps, manages cross-portfolio dependencies and risks, drives alignment without direct authority, and supports large-scale legacy platform transformation. Builds executive partnerships, communicates progress and decisions, and develops high-performing teams through organizational change.

Leads software and infrastructure strategy for Target Marketplace Technology, architecting scalable platform APIs, services, integrations, and workflows across enterprise systems. Drives modernization, resilience, security, performance, operability, DevOps, and thoughtful AI adoption. Provides technical direction, mentors engineering talent, influences cross-functional stakeholders, manages technology lifecycles, and supports high-performing teams. Requires deep experience with distributed systems, JVM technologies, cloud platforms, Kubernetes, data stores, and large-scale architecture.

Leads the Cyber Threat Intelligence function and a team of cyber threat analysts. Responsibilities include analyzing emerging threats, advising senior leaders, integrating internal telemetry with external intelligence, automating intelligence workflows, and partnering with security engineering, incident response, SIEM, SOAR, and EDR teams. The role also drives threat prioritization, attribution, collection, correlation, strategic planning, and development of cybersecurity talent.

Leads Target India’s Container Controlplane engineering team, overseeing platform APIs, container deployment orchestration, workload placement, health management, access control, and operational reliability across on-premises, GCP, stores, and distribution centers. The role combines people leadership, technical direction, roadmap execution, cross-functional infrastructure collaboration, incident readiness, and team development while evolving Target’s managed container platform and reducing legacy service dependencies.

Designs, develops, and optimizes large-scale data platforms, distributed processing frameworks, and ETL/ELT pipelines using Spark, Scala, BigQuery, and cloud technologies. Responsibilities include data modeling, performance and cost optimization, data quality, monitoring, observability, troubleshooting, architecture participation, production support, and collaboration with engineering, analytics, product, and data science teams. The role also evaluates AI-assisted development tools and Generative AI opportunities.

Partners with Remodels and cross-functional teams to guide capital investment decisions. Owns planning, forecasting, reporting, financial modeling, valuation, and ROI analysis for Target’s annual Remodels capital program. Prepares Capital Forum materials, monitors program and project performance, improves financial operations through process automation, and contributes to store valuation and capital prioritization initiatives.

Leads software architecture, design, development, testing, deployment, and operational support for scalable products. Evaluates emerging technologies, conducts proofs of concept, manages service lifecycle and costs, and ensures secure, high-performance implementations. Provides technical oversight, code and design reviews, disaster recovery leadership, data quality practices, troubleshooting, and coaching for fellow engineers. Collaborates on Agile processes and resolves complex technical issues with minimal assistance.

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.

Leads the strategy, roadmap, budget, financials, OKRs, and business outcomes for Target’s Campaign Management Tools portfolio. Builds and mentors product teams, drives customer discovery, oversees complex platform transformation, and partners with engineering, design, sales, operations, data, and external stakeholders. The role focuses on scalable APIs, self-service campaign workflows, automation, analytics, AI-enabled capabilities, and integrations across advertising channels to improve efficiency, advertiser experience, adoption, and revenue.

Supports corporate development through valuation analyses, financial modeling, competitive research, transaction execution, acquisition and partnership pipeline development, and recommendations to leadership. The role requires analyzing financial statements, conducting independent research, communicating findings, and partnering across the enterprise to evaluate inorganic growth opportunities.

Build, maintain, and improve reliable data pipelines for hardware observability and infrastructure telemetry. Develop schemas, ETL processes, validation checks, and pipeline tooling; monitor data quality; investigate pipeline issues; document data definitions and lineage; and participate in code reviews, testing, deployments, change management, and incident response.

Lead product discovery, define OKRs and roadmap for Target's Marketplace Portal (Seller Central). Collect customer feedback and data, write user stories and acceptance criteria, prioritize backlog, and work with engineers, UX, data scientists and business partners to deliver scalable, compliant integrations and partner experiences across APIs and enterprise systems.

The Sr Product Manager will lead strategy for seller tools, focusing on engagement, compliance, and operational efficiency while utilizing data-driven insights.