Top Remote Jobs in Minneapolis, MN

The District Manager oversees operations of Grocery TV displays in multiple stores, ensuring effective service and support while building store relationships. The role requires troubleshooting, equipment maintenance and travel to various store locations.

Own and optimize the end-to-end marketing technology stack: roadmap, tool selection, implementations, integrations, documentation, governance, and performance metrics. Partner with IT, Sales Ops, Analytics, and Legal to ensure data flows, adoption, and ROI while supporting onboarding and ongoing optimization.

Support configuration management and BOM control for combat vehicle programs: analyze engineering changes, maintain baselines, coordinate change records, prepare documentation, and ensure cost, quality, schedule, and performance requirements are met while training team members.

Lead and grow a full-stack engineering team to deliver fundraising-focused frontend features. Hands-on manager who ships code, reviews PRs, shapes architecture, improves engineering practices, mentors engineers, and ensures product quality, performance, security, and accessibility while aligning frontend strategy with company objectives.

Lead and scale JumpCloud's global MSP channel: own GTM strategy, revenue, forecasting, and a team of PAEs, BDRs, and MSP Account Managers. Drive partner acquisition, retention, adoption, and expansion while collaborating with Enablement, Product, Marketing, and Channel to optimize programs, certifications, and product-market fit.

Own and improve end-to-end payroll and partner operational processes across CX. Design scalable workflows, define SLAs and escalation paths, coordinate incidents, analyze data for trends and risks, and drive cross-functional process standardization using Zendesk, Slack, Asana, and related systems.

Provide technical support and escalations for payroll customers: troubleshoot payroll runs, taxes, benefits, integrations, and data flows; advise on payroll configurations and compliance; partner with Product and Engineering to drive improvements and prevent payroll risks.

Handle incoming owner relations inquiries about revenue, land, division orders, JIB, A/R, and A&P. Log and follow up cases in a tracking system, build trusting client relationships, manage difficult situations calmly, provide accurate timely responses, and participate in cross-training.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Own production health and performance for AI-enabled claims products across Disability & Leave. Monitor SLAs and UX, lead incident triage and RCA, prioritize fixes with engineering and operations, drive systemic improvements, and oversee FINEOS/Catalyst integration and optimization.

Serve as primary post-sales contact to drive onboarding, adoption, retention, and expansion for industrial cybersecurity customers. Build relationships, define success metrics, manage churn risk, monitor account health, execute success plans, maintain SFDC records, and collaborate with sales, TAMs, services, intelligence, and support.

Lead and manage an adversary hunting team focused on OT threat groups. Perform hands-on hunting using Synapse and Storm Query Language, produce WorldView reports and detection artifacts, collaborate with intelligence and malware analysis, refine KPIs, support incident response surges, recruit and develop staff, and represent the team externally.

Hunt, identify, and analyze adversary tools, malware, and tradecraft targeting ICS/OT. Develop and maintain analysis tools and scripts, contribute to threat assessments and customer advisories, leverage intel and network analysis tools, recommend automation and telemetry improvements, and support incident response and external communications.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.