Top Artificial Intelligence Jobs in Milwaukee, WI

Manage a multi-state territory to grow laboratory genetic testing sales by expanding menu utilization, acquiring new customers, negotiating contracts, launching new assays, developing demand, delivering presentations, hosting trade shows, maintaining CRM data, and achieving sales targets while residing in the assigned territory.

Lead the Growth pod owning UX and front-end product engineering as a player-coach. Contribute code initially, then manage sprint planning, delivery tracking, roadmap trade-offs, and architecture decisions. Ship full-stack features (TypeScript front- and back-end), raise engineering craft, grow team capacity through coaching and delegation, and proactively surface risks tied to business goals.

Drive revenue through the AWS partnership and direct enterprise sales. Collaborate with sales and AWS teams to build value propositions, execute co-sell strategies, leverage AWS Marketplace and funding, identify and qualify new opportunities, and manage and grow large enterprise accounts with tailored SaaS solutions.

Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.

The Product Engineer role involves owning the complete product lifecycle, building features end-to-end across frontend and backend, driving product decisions, and creating scalable systems using modern AI tools. A focus on user experience and speed of delivery is essential.

The Implementation Director leads strategic healthcare technology implementations, ensuring successful project execution, client engagement, and process improvement. This role demands strong communication and problem-solving skills, along with experience in complex healthcare environments.

The Account Manager will manage existing SaaS customer relationships, drive product adoption, renewals, and identify expansion opportunities, ensuring customer satisfaction and revenue growth.

As a Technical Marketing Manager, you will handle marketing for AppSec, AI/ML Security, and Research, creating content, managing social media, and running demand generation campaigns with a focus on community engagement and analytics.

The Senior Solutions Consultant will lead implementations of AI/ML solutions for health insurance clients, develop sales resources, and provide technical direction during projects.

Manage and improve vulnerability management, asset visibility, and cloud security across hybrid and multi-cloud environments. Operate tools (Wiz, Rapid7), maintain asset inventories, triage and track vulnerabilities, coordinate remediation with Engineering/SRE/IT, support incident investigations and on-call rotation, maintain compliance evidence and runbooks, and contribute to program improvements and reporting.