Top Artificial Intelligence Jobs in Des Moines, IA

Leads the company’s IT function, directing multidisciplinary teams across IT operations, security, cloud infrastructure, Microsoft 365, SaaS applications, and end-user services. Executes the CTO’s technology roadmap, advances ITSM/ITIL maturity, maintains business continuity, oversees vendors and procurement, supports compliance, manages budgets, and provides executive reporting. The Director also recruits and develops the IT organization, partners with software engineering and people operations, and ensures secure, reliable, scalable technology services across affiliated companies.

Conduct qualitative and quantitative UX research, including interviews, usability testing, and surveys. Synthesize findings into actionable insights, personas, journey maps, and service blueprints. Create Figma wireframes and prototypes, collaborate with designers and engineers, support onboarding and product adoption, and advocate for Section 508 and WCAG accessibility across an enterprise AI platform.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Provide technical support for Lucidworks Fusion, helping customers configure search systems and troubleshoot complex issues across Lucene, Solr, and distributed technologies. Create knowledge-base content, collaborate with Engineering and Customer Success, communicate customer feedback, and identify opportunities for additional products and services. The role includes 24/7/365 on-call participation and supports U.S. government customers.

The Business Development Representative will prospect enterprise decision-makers, create personalized outbound campaigns, generate qualified meetings and pipeline, and collaborate with Account Executives, GTM, Product, and Marketing teams. The role involves researching accounts, using AI and sales tools, maintaining CRM data, sharing market feedback, and continuously experimenting to improve outreach. Candidates should have 1–3+ years of business development or sales experience and be comfortable working in an in-office, fast-paced environment in Mountain View, California.

Design and build scalable distributed backend systems and core services in Golang. Develop reliable, high-performance systems using PostgreSQL and Redis across microservices, networking layers, and cloud platforms. Prototype and productionize platform capabilities, collaborate on strategic technical initiatives, and influence engineering standards. The role focuses on AI infrastructure, distributed database provisioning, workflow orchestration, internal tooling, and developer experience.

Manage revenue operations across Sales, Marketing, and Customer Success. Administer Salesforce and GTM systems, maintain data quality, build executive reporting, support forecasting and territory planning, improve lead routing and lifecycle processes, manage customer success reporting, operate deal desk workflows, and automate revenue processes using AI and other tools.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Build and scale production AI systems for Prophetic’s real estate intelligence platform. Responsibilities include developing agentic systems, data pipelines, inference workflows, evaluation benchmarks, geospatial processing, and machine learning applications across hundreds of millions of records. The role requires shipping reliable Python services, optimizing throughput and cost, integrating research into products, and collaborating with engineering and product teams.