Top Remote Jobs in Omaha, NE

The VP of Finance will lead financial strategy, manage budgets, oversee accounting practices, and partner in financial growth and investment activities, while guiding the finance team and collaborating with senior leadership.

The Account Manager oversees affiliate and restaurant relationships, focusing on maximizing platform utilization, ensuring satisfaction, and driving growth through strong communication and relationship management. Responsibilities include performance monitoring, problem solving, and cross-functional collaboration.

Lead the product strategy, roadmap, and execution for AI-powered real estate solutions. Collaborate with teams to deliver high-impact projects, focusing on customer value and quality.

The role involves leading sales efforts in the HHS sector, managing the full sales cycle, and developing strategic account plans to drive revenue growth.

Manage partner marketing campaigns, collaborate with internal teams, track metrics, and build relationships with channel partners to generate leads.

Lead and develop an SDR team to drive qualified meetings and pipeline. Manage day-to-day execution, coaching, cadence, CRM hygiene, alignment with AEs/Marketing, outbound plays, and weekly reporting to improve funnel conversion and meeting quality.

Serve as strategic HR advisor to Engineering and Product leadership, driving performance management, strategic hiring, career development, people analytics, and high-impact projects to scale the technical organization while coaching leaders and resolving complex org dynamics with empathy.

The Senior Software Engineer II will design and deliver AI-powered workflow automation solutions, collaborate with cross-functional teams, and ensure high-quality code maintenance while mentoring others.

The Expansion Executive will drive growth within existing Fortune 500 accounts by identifying new sales opportunities, up-selling, and managing relationships with C-Level stakeholders.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.