Top Remote Jobs in Madison, WI

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

Leads advanced data science for pricing, marketing incrementality, customer lifetime value, retention, churn, and commercial decision-making. Designs experimentation and causal inference methods, builds predictive models, productionizes them in Databricks, reviews external analyses, and communicates findings to executives, investors, and the board. Serves as the senior technical authority for experimentation and ensures analyses are reproducible, rigorous, and decision-focused.

Owns organization-wide compliance frameworks, regulatory monitoring, authorization and accreditation readiness, audits, corrective actions, and obligations tracking. Evaluates emerging frameworks and productizes approved opportunities into sellable service offerings by defining scope, methodologies, pricing inputs, delivery artifacts, staffing needs, enablement, launch plans, and portfolio strategy. Partners cross-functionally with PMO, Sales, Marketing, Finance, RFP, and delivery teams.

Supports insurance sales squads by triaging inboxes, routing new deals, collecting property details and documents, scheduling follow-ups, maintaining CRM records, preparing manual quote requests, and coordinating bind handoffs. The role handles operational and customer communication tasks but does not interpret coverage, recommend carriers, present quotes, or bind policies. It is designed as an entry point toward a licensed insurance sales career.

Own end-to-end product and model launches, including planning, messaging, landing pages, announcements, campaigns, and enablement. Develop positioning for Voice AI products, translate technical capabilities into business outcomes, maintain sales materials, track competitors, produce customer proof, and identify growth opportunities. Partner cross-functionally with product, research, sales, growth, customer success, and brand teams while independently writing and shipping marketing assets.

Performs standardized content curation and metadata validation for written and audio content. Reviews accuracy and completeness, applies guideline-based corrections, documents defects in internal tools, escalates unclear or high-impact issues, and manages assigned queues to meet productivity and SLA targets. The role requires careful adherence to procedures, confidentiality and security practices, attention to detail, participation in calibration and training, and comfort reviewing potentially sensitive content.

Leads and scales the Central regional Sales Engineering team, coaching SEs, hiring, overseeing complex proof-of-concepts, and improving technical win rates. Partners with sales, product, and R&D on enterprise deal strategy, customer feedback, forecasting, and technical evaluations. Serves as a technical advisor to CISOs and security leaders on secure AI adoption while remaining hands-on in demos and POCs.

The General Counsel will lead the in-house legal function, advise executive leadership and the Board, manage legal teams and outside counsel, and oversee corporate, regulatory, privacy, AI, employment, intellectual property, litigation, and contract matters. The role will guide product and sales initiatives, develop scalable legal workflows, manage risk, support HR, and advise on consumer protection, fintech regulations, data privacy, and emerging AI frameworks as the company expands.

Own the end-to-end lifecycle for technical fintech products, translating business needs into requirements, user stories, and acceptance criteria. Lead Agile product ownership, backlog grooming, sprint planning, roadmap management, stakeholder coordination, data-driven prioritization, release planning, and quality oversight. Collaborate with engineering teams and partners to deliver reliable, high-value developer experience solutions while managing risks, workflows, escalations, and continuous improvement.

Owns the AI Center of Excellence roadmap, intake, prioritization, portfolio tracking, product backlogs, governance, measurement, vendor delivery, budgets, and executive reporting. The role coordinates AI initiatives across business functions, manages risks and dependencies, aligns work to corporate OKRs, ensures transitions from vendors to internal owners, and partners with AI enablement, architecture, and platform engineering teams.