Top Remote Senior Level Jobs in Omaha, NE

Drive revenue growth by expanding existing accounts through strategic, solution-focused enterprise sales. Build C-level relationships, collaborate with account teams, demo software, negotiate deals, and exceed quota while growing pipeline and whitespace within assigned accounts.

Lead client-facing ERP and system selection/implementation and process improvement engagements. Manage multiple projects, budgets, and stakeholders; run workshops, create process maps, recommend operational improvements, mentor junior staff, and ensure delivery alignment and financial performance.

Lead Commercial FP&A deliverables including daily/weekly revenue reporting, variance analysis, executive and Board materials, sales target-setting, commission reviews, and ad-hoc revenue analyses. Maintain and improve reporting infrastructure, partner with Revenue and Sales Operations, and provide concise commentary to support in-quarter decisions for commercial leadership.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

The role involves developing and optimizing React Native applications, integrating AI capabilities, and collaborating with cross-functional teams to deliver innovative mobile experiences.

Design, develop, test, and deploy Go and Python microservices for a B2B financial platform. Collaborate cross-functionally, support client onboarding and documentation, build automations, monitor system reliability, and later transition to product development or team lead responsibilities.

Lead product strategy and execution for ITDR and ISPM offerings, manage a small product team, drive discovery through launch, collaborate with engineering, design, sales, and marketing, and measure product success with business metrics.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.