Top Artificial Intelligence Jobs in Des Moines, IA

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.

Retain customers considering cancellation or downgrade through consultative conversations, objection handling, personalized recommendations, and targeted save offers. Resolve underlying issues with cross-functional teams, document cancellation reasons, monitor retention metrics, and support process improvements. The role requires strong communication, negotiation, analytical judgment, product knowledge, and experience meeting retention or quota-based goals.

Own end-to-end product design for multiple AI-powered client and internal products, including user research, ideation, UX, and UI design. Collaborate directly with users, clients, and engineers, participate in product direction meetings, and independently design AI applications and Next.js products. The role offers ownership, exposure to diverse industries, and potential progression into a Design Lead position.

Supports paid media campaigns and tracking across multiple advertising platforms. Responsibilities include setting up and troubleshooting pixels, events, conversions, UTM parameters, and analytics tools; validating data collection; investigating attribution discrepancies; maintaining tracking documentation; and analyzing campaign performance. The role requires hands-on familiarity with advertising platforms, event tracking, analytics systems, and basic website elements, with an emphasis on accurate measurement and technical troubleshooting.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Design user interfaces and experiences for digital products across client industries. Responsibilities include user research, UX strategy, information architecture, user journeys, wireframes, prototypes, usability testing, production-ready UI, design systems, stakeholder presentations, and collaboration with engineering. The role requires ownership of design work, iterative problem-solving, client communication, and occasional mentorship of junior designers.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Lead complex SaaS implementations for enterprise customers, including discovery workshops, requirements analysis, solution design, data mapping, configuration, integrations, demos, UAT, training, and issue resolution. Advise stakeholders on current and future processes, conduct cost-benefit analyses, support project delivery and Statements of Work, mentor team members, and improve implementation methodology. The role requires customer-site travel several days each quarter.

Build and lead Taiv’s national advertising sales business. Sell a technically complex live-sports advertising product to national brands and media agencies, develop relationships with digital and video buyers, generate new business, exceed revenue targets, and help scale the ad business from the ground up.

Staff Data Scientist responsible for owning ambiguous, high-impact product and business problems; designing experiments; analyzing product data; developing analytical tools and frameworks; partnering with product, engineering, design, and leadership; and mentoring data scientists. The role requires advanced statistical expertise, strong product judgment, production programming experience, and the ability to translate complex analyses into strategic recommendations.