Top Remote Senior Level Jobs in Madison, WI

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Provide in-house legal counsel for procurement, supply chain, logistics, operations and real estate across North America. Draft, review, and negotiate vendor and service agreements, manage vendor disputes and pre-litigation issues, support M&A due diligence, develop contracting templates and playbooks, and advise on operational risk, compliance, and strategic transformation initiatives.

Drive enterprise SaaS growth by sourcing and qualifying opportunities, engaging executive stakeholders, leading consultative sales cycles, closing seven-figure deals, forecasting pipeline, and exceeding revenue targets. The role requires technical and value-based selling across marketing, IT, ecommerce, and customer experience functions, with cross-functional collaboration across Sales Engineering, Product, Marketing, and Leadership.

Own and evolve a BigQuery and dbt marketing data platform while designing, deploying, and securing AI applications and agents on Google Cloud. Build ETL/ELT pipelines, self-service automation tools, and production-grade infrastructure. Establish engineering standards for AI-assisted development, including testing, version control, CI/CD, security, governance, and reliability. Provide architectural leadership and collaborate with marketing, product, finance, sales, and analytics teams.

Leads finance operations, back-office accounting processes, month-end close, billing, receivables, project accounting, revenue recognition, controls, reporting, and Oracle Fusion Cloud ERP enhancements. Oversees system configuration, integrations, testing, process improvement, M&A finance workstreams, and cross-functional issue resolution. Manages and develops the Finance Operations team while partnering with Finance, Accounting, Tax, Sales Operations, Technology, clients, and external providers.

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.

Design, build, test, deploy, and support Salesforce applications and integrations. Develop Apex, LWC, Flow solutions, REST APIs, event-driven integrations, and secure data workflows. Ensure bulk processing, governor-limit compliance, automated testing, retries, idempotency, and failure recovery. Manage Git-based CI/CD deployments, troubleshoot production issues, review code, and collaborate with administrators, analysts, data engineers, and product teams.

Designs and operates production ML and LLM platforms, including training, evaluation, deployment, monitoring, CI/CD, observability, governance, guardrails, and cost controls. Builds secure, compliant healthcare AI systems on GCP using Vertex AI, containers, Kubernetes, and Cloud Run. Requires strong Python, ML engineering, LLM production experience, and expertise in model lifecycle management, data provenance, privacy, and regulated environments.

Own strategic enterprise customer relationships from pilot through adoption, renewal, and expansion. Build account plans, engage executive sponsors, lead business reviews, support deployments, drive commercial expansion, manage escalations, provide product feedback, and develop customer case studies. The role also helps establish the enterprise customer success playbook and requires 30–50% travel.

Own Stay AI’s marketing function end to end, including competitive positioning, product marketing, sales enablement, content, channel strategy, market narrative, pipeline generation, and executive reporting. The role partners closely with sales, product, and the CEO, creates messaging and marketing materials directly, supports product launches, analyzes campaign performance, and presents marketing results to leadership and the board.