Top Remote Jobs in Milwaukee, WI

The Enterprise Account Executive will create business opportunities targeting CFOs and finance executives, managing the full sales cycle from prospecting to closing. Responsibilities include maintaining networks, conducting sales presentations, overseeing sales forecasts, and updating CRM systems, while capable of traveling up to 50%.

The Revenue Cycle Accounts Receivable Specialist is responsible for managing and resolving outstanding account balances, handling claim denials, and filing appeals. They gather reimbursement data, follow up on medical accounts, update systems, contact insurance companies, handle EDI transactions, and provide customer support.

As a Staff Platform Engineer, you will manage Kafka clusters, scale high-throughput services, oversee database performance, and design new services while maintaining existing workflows. You will also mentor team members and optimize the observability platform to handle growing data demands.

As a Senior Customer Success Manager at Sword Health, you will manage the client lifecycle for union customers, build strategic relationships, and demonstrate Sword’s value through performance monitoring and reporting. You will also advocate for customer needs internally and contribute to the development of account plans to enhance client success and satisfaction.

The Pricing Specialist will analyze and optimize pricing models and profitability for Dedicated & Final Mile operations. Responsibilities include managing RFP requests, developing transportation solutions, collaborating with internal teams, and presenting to customers.

As a Data Scientist at Rentable, you will develop and deploy predictive models, analyze complex datasets using machine learning algorithms, create data visualizations, and collaborate with product and engineering teams to integrate solutions and assess model performance. You will also lead discussions on insights with stakeholders to facilitate decision-making.

The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.