Top Remote Jobs in Milwaukee, WI

Provide day-to-day support for Kinaxis systems, troubleshoot user issues, assist with system maintenance, gather business needs, train end users, and support continuous improvement initiatives.

The Senior UX Designer will lead design initiatives for Docrio and Matters & Intakes, conducting research, prototyping, and collaborating with various teams to ensure the creation of effective UX for legal tech products.

The Senior Account Executive will manage relationships, convert leads into deals, maintain CRM records, and represent Easy Street Capital's loan programs professionally.

As a Finance Expert, you will enhance AI technologies by labeling and annotating data, collaborating with the technical team, and focusing on investment analysis.

The Customer Success Manager drives the adoption of AI solutions in life sciences by managing implementations, developing customer satisfaction strategies, and serving as a trusted advisor.

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Serve as the first point of contact for new clients, run onboarding meetings, configure Uplinq and QuickBooks Online, clean and prepare client data, manage timelines and deliverables, troubleshoot integrations, recommend scope/pricing adjustments, and transition accounts to ongoing bookkeeping support.

Drive book fair bookings at elementary schools via outbound calling and inbound lead nurturing. Meet quarterly/annual quotas, develop territory plans, deliver school/district presentations, maintain CRM records, and represent Literati at events to expand market penetration.

Lead and support mortgage servicing transaction management, system integrations, data validation, and reporting. Partner with business, technology, vendors, and servicing teams to onboard MSR transactions, improve loan boarding processes, validate data integrations, and support investor and client reporting.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.