Top Remote Jobs in Madison, WI

Lead end-to-end qualitative UX research across B2B, B2C, and internal projects, including interviews, usability testing, concept testing, synthesis, and stakeholder recommendations. Partner with product, design, marketing, sales, engineering, and CRO teams to shape user-centered products and improve conversion. Maintain the Dovetail research repository, facilitate workshops, manage multiple projects, and support research operations, tooling, ethical practices, and GDPR-compliant data handling.

Leads Bevi’s indirect sales strategy, national partnerships, territory sales, and international channel expansion. Owns partner growth, executive relationships, negotiations, forecasting, operating plans, pipeline management, and team development. Builds scalable sales playbooks, manages revenue and budgets, establishes performance systems, and collaborates with Sales Operations, Finance, People, Product, Operations, and Marketing to deliver predictable partner revenue and machine bookings.

Own strategic enterprise B2B SaaS accounts, driving adoption, retention, renewals, expansion, and net revenue retention. Build executive relationships, develop success and account plans, identify upsell opportunities, manage customer health and risks, coordinate cross-functional support, lead account reviews, and deliver training and best practices. The role also mentors team members and requires strategic communication with complex stakeholders.

Processes escrow disbursements for mortgage and consumer loans, including taxes, hazard insurance, and PMI. Reviews tax and escrow reports, reconciles general ledger accounts, performs loan setup quality checks, manages insurance and service-provider relationships, maintains servicing records, analyzes operational reports, and responds to client inquiries. The role also supports issue resolution, reporting, and departmental projects while maintaining accuracy and service quality.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Build and lead the sales enablement function by designing onboarding, training, certification, and product education programs. Partner with Sales, Marketing, Customer Success, Professional Services, Product, and commercial leadership to address performance gaps, improve ramp time, increase quota attainment, and support retention. Own enablement technology, including LMS and HubSpot-related training, measure program outcomes, evolve the sales motion, and guide the growing enablement team.

Build and lead development of full-stack agentic AI products for systems modernization. Responsibilities include creating coding harnesses and runtime layers, integrating source control, CI/CD, security, and developer tools, scaling coding-agent workflows, and partnering with customers, designers, and mission teams. The role requires production-grade, cybersecurity-compliant systems, strong product judgment, and close collaboration with forward-deployed engineering teams supporting national security missions.

Leads a cloud network engineering team responsible for designing, securing, implementing, and maintaining Azure, hybrid, and on-premises network infrastructure. Oversees architecture, connectivity, reliability, automation, observability, incident response, compliance, and security practices. Manages team performance, work prioritization, mentoring, hiring support, and on-call operations while collaborating with Cloud, DevOps, Security, and application teams.

Gather and document business requirements, collaborate with insurance carrier stakeholders, define scope decisions, and translate requirements into technical specifications for engineering implementation. Organize complex product configuration datasets and support data-driven solutions during a six-month implementation engagement.