Top Remote Senior Level Jobs in Madison, WI

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Lead quality assurance activities for large projects, including test planning, design, execution, management, metrics, and communication. Coordinate internal teams, contract testers, vendors, and UAT sign-offs while providing QA subject matter expertise. Participate in requirements and design reviews, maintain testing documentation, resolve issues, and advance quality engineering practices through automation, AI tooling, and Testing Center of Excellence initiatives.

Serve as a strategic partner and trusted extension of the CEO by managing complex calendars, access, domestic and international travel, briefings, meeting materials, stakeholder relationships, board presentations, executive communications, and personal logistics. The role requires exceptional judgment, discretion, organization, initiative, adaptability, and availability across time zones and outside standard hours.

Build Replicant’s internal AI enablement program by developing reusable agent workflows, MCP integrations, agent identity management, enterprise SaaS connections, and cost visibility mechanisms. Partner with Sales, Delivery, Engineering, Finance, People, and other teams to identify opportunities, implement secure AI solutions, create shared templates and skills, build AI literacy, and develop internal champions. Optimize AI infrastructure through prompt caching, model routing, tool consolidation, and improved agent design.

Lead Astra’s enterprise compliance program, serving as BSA/AML Compliance Officer and overseeing financial crimes, payments, privacy, GRC, SOC 2, PCI DSS, audits, bank partnerships, and third-party risk. The role manages and scales the compliance team, advises executives and the Board, evaluates product and payment-flow risks, develops practical controls, and supports responsible growth across fintech and embedded-finance use cases.

Own multiple client product engagements from discovery through delivery, including AI agent development, greenfield product builds, legacy platform modernization, and AI-native enablement. Translate ambiguous needs into PRDs, roadmaps, success criteria, and sequenced work; partner with engineers on agent architecture, evaluations, and guardrails; manage stakeholders, scope, budgets, timelines, and ROI. Lead client presentations, workshops, steering committees, and internal delivery playbooks.

Leads the company’s adoption of AI, analytics, automation, and business intelligence. Builds AI-powered workflows, Excel solutions, natural-language data interfaces, dashboards, forecasts, predictive analytics, and automated reporting using Snowflake, SQL, Tableau, and related tools. Partners across business functions to identify opportunities, improve data quality, automate repetitive processes, and deliver scalable decision-support solutions. Establishes responsible AI practices and advances an AI-first analytics culture.

Build and operate core HR processes, including onboarding, offboarding, performance reviews, merit and promotion cycles, career pathing, employee recognition, learning and development, benefits support, and immigration assistance. Own the implementation and configuration of Rippling, using AI tools to improve efficiency while maintaining compliant documentation, data handling, and decision-making practices. Partner closely with employees and managers in a growth-stage company.

Supports global supply chain and purchasing through spend analytics, dashboard development, savings validation, budgeting, standard costing, supplier master data governance, and KPI reporting. The role analyzes purchasing and market data, identifies cost-saving opportunities, standardizes reporting, leads master data cleanup, and provides strategic insights for working capital and supplier risk initiatives. It collaborates with Finance, FP&A, IT, Engineering, Operations, Commercial, plant controllers, and regional purchasing teams, presenting findings to senior management.

Lead data engineering and machine learning initiatives by designing, architecting, developing, and supporting GCP data pipelines. Create information architecture documentation, estimate and plan technical work, collaborate with project teams and business analysts, and translate requirements into technical designs. Develop Python-based ELT pipelines, optimize BigQuery SQL, support CI/CD, and provide technical leadership to projects and teams.