Top Remote Jobs in Omaha, NE

Lead OT security monitoring and triage operations, investigate suspicious activity across industrial networks, tune detections, manage vulnerabilities and asset classification, and escalate findings to incident responders and threat hunters. Produce customer-facing reports, support platform operations, mentor analysts, and collaborate across cybersecurity teams. The role requires shift-based coverage, remote coordination, and expertise in network security with a strong interest in ICS/OT environments.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Leads enterprise forecasting, financial planning, scenario modeling, performance reporting, and strategic decision support. Builds planning frameworks, governance, dashboards, and executive insights across financial and operational drivers. Partners with senior leaders across Finance, Product, Marketing, Operations, Technology, Treasury, Risk, and Strategy. Manages planning cycles, develops a high-performing team, improves analytics and processes, and strengthens risk awareness.

Designs and maintains privacy controls and privacy-enhancing technologies across products and enterprise systems. Embeds privacy by design into the software development lifecycle, builds automation for consent and data subject rights, supports privacy impact assessments, and develops data protection solutions. Partners with Engineering, Product, Security, Legal, and Compliance to translate regulations into technical requirements. Also supports AI governance, privacy tooling, reusable standards, documentation, and engineering training.

Coordinate recruiting operations across technical and business hiring, including interview scheduling, candidate communications, travel logistics, feedback collection, and ATS data hygiene. The role aims to improve scheduling speed and accuracy through AI-native workflows, automation, templates, and process improvements while delivering a clear, responsive candidate experience.

Lead and scale Strategic and Enterprise sales for large accounts: own GTM, pipeline, bookings, and deal execution; coach and recruit AEs/managers; enforce MEDDPICC and Mutual Action Plan rigor; partner with RevOps, CS, Marketing, and Product; represent segment to CRO and execs.

Senior Software Engineer responsible for designing, developing, testing, and releasing scalable full-stack features for Huntress’s Core Platform. The role owns complex projects end to end across frontend, backend, databases, and infrastructure; promotes code quality through testing, reviews, and pairing; breaks down epics into milestones; contributes technical solutions; and mentors engineers. The position requires extensive Ruby on Rails and full-stack experience, plus familiarity with Linux infrastructure, databases, external APIs, Agile practices, and responsible AI-assisted development.

Build and maintain agent skills, tooling, and evaluation infrastructure: CLIs, libraries, CI workflows, metrics, safety gates, and observability for agent behavior. Design evaluation datasets, investigate failures, and collaborate with product and security teams to ship reliable, reusable internal systems.

Drive technical marketing for Zero Trust Branch and Digital Experience solutions through customer proof-of-value pilots, architectural demos, networking lab design, troubleshooting, technical collateral, and field enablement. Serve as the technical bridge between field teams and engineering while validating solutions, supporting enterprise evaluations, and improving post-sales time-to-value. The role requires deep networking, packet analysis, cloud networking, monitoring, and customer-facing technical expertise.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.