Top Artificial Intelligence Jobs in Milwaukee, WI

Lead day-to-day finance operations and close across multiple entities, own ASC 606 revenue recognition, tax and audit readiness, build systems/controls and scale a distributed team, support strategic planning, budgeting, forecasting, deal modeling, and capital allocation toward Series C.

Sell AI-driven solutions to mid-market businesses: prospect, qualify, consult with decision-makers, manage the full sales cycle, close deals, build long-term client relationships, and identify upsell opportunities with support from leadership and technical teams.

Handle high-volume inbound customer calls and transactional support requests (account updates, order status, billing). Document interactions in case systems, manage follow-ups and queues, escalate as needed, and use Salesforce and Office 365 to support timely, quality resolutions.

Intern will build Zepho's social media presence, create content, manage influencer relationships, and track performance metrics. This role offers potential for full-time conversion.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Translate captions/subtitles and documents, perform machine translation post-editing, ensure cultural accuracy in translations, and maintain translation databases.

As a Solutions Engineer, you will drive sales growth, support partnerships, and deliver AI-driven solutions while collaborating with various teams.

As a Forward Deployed Product Manager, you'll manage AI agent deployments for strategic accounts, driving automation and identifying product improvement opportunities based on customer insights, while collaborating closely with CX leaders to optimize transformation strategies.

The BizOps Lead will advise the CEO, manage strategic initiatives, coordinate programs, prepare communications for stakeholders, and lead special projects.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.