Top Artificial Intelligence Jobs in Des Moines, IA

Act as a technical liaison between customers, Customer Success, and Engineering to triage and resolve technical issues via Zendesk/JIRA/calls. Handle incidents (including on-call), translate customer feedback into engineering actions, develop reusable solutions, identify and escalate bugs, and collaborate cross-functionally to mitigate site event incidents.

Own success, retention, and growth for a ~25-account portfolio. Manage renewals, mitigate risk, identify expansion opportunities, forecast revenue, coordinate cross-functional support, deliver excellent customer communication, and drive one measurable internal improvement project per quarter after onboarding.

Lead Sardine's federal GTM: build and qualify pipeline, manage capture cycles through contract award, engage agency stakeholders and SIs, coordinate demos with solutions engineering, maintain Salesforce pipeline, and represent the company at federal industry events.

Build and automate AI-driven marketing workflows end-to-end. Own lead scoring, routing, campaigns, content production, events, and reporting. Maintain marketing data integrity, manage HubSpot/Salesforce integrations, develop playbooks for AI tools, and create dashboards to measure marketing ROI and pipeline performance.

Drive new business and expand enterprise accounts by building C-suite and clinical/IT relationships, closing deals, collaborating with Customer Success and Marketing, maintaining SFDC forecasts, and meeting/exceeding sales targets. Extensive travel (50–80%) required.

Lead enterprise data architecture, governance, integration, and platform roadmap. Establish data models, lineage, cataloging, access controls (RBAC/ABAC/IAM), and M&A data integration while partnering with Finance, GTM, HR, IT, Security, Legal, and Product to ensure trusted, secure, and usable enterprise data.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Provide technical support for Automation Anywhere products across cloud and on-prem environments: diagnose issues, analyze logs and workflows, troubleshoot infrastructure/configuration, handle tickets and remote sessions, escalate complex problems, document solutions, and participate in 24x7 rotational shifts to maintain high customer satisfaction.

Early-to-mid career Product Manager to translate customer needs into product requirements for AI-driven scientific SaaS. Work cross-functionally with engineering, AI/ML, solutions, and commercial teams to prioritize backlog, run discovery, support launches, gather customer feedback, and define product metrics for customers in chemistry, manufacturing, and energy.

Own and prioritize the product backlog, write detailed user stories with acceptance criteria, participate in Scrum ceremonies, liaise with stakeholders, clarify requirements for engineering, accept completed work, and continuously re-prioritize features to deliver high-quality B2B SaaS product functionality.