Top Tech Jobs & Startup Jobs in Des Moines, IA

Lead full enterprise sales cycles selling AI-driven supply chain solutions to mid-market and enterprise manufacturers and distributors. Qualify inbound and outbound opportunities, run discovery, technical validation, procurement and close deals. Build repeatable GTM playbook, manage 3–12 month pipelines with accurate forecasting, collaborate with engineers for solution configuration, and relay market feedback to product.

Own end-to-end release cadences for open-source and managed cloud products. Coordinate engineering, product, QA, DevOps, docs, and customer success. Define quality gates, build release automation and runbooks, mitigate release risks, serve as release contact, and run retrospectives to drive continuous improvement.

Lead design, build, and operate enterprise-scale AI/MLOps platform infrastructure. Implement Kubernetes-native systems and infrastructure-as-code, ensure production reliability, security, and cost efficiency, create developer tooling and abstractions, collaborate with customers, mentor engineers, and drive platform architecture and priorities.

Design and implement a high-performance, low-latency Java OLAP calculation engine core. Collaborate with product to translate designs into executable criteria, ensure correctness and performance, communicate technical concepts, and advocate for quality and robust JVM-level tuning and language/design improvements.

Provide global second-line support for Vizrt graphics customers: troubleshoot inbound cases via phone/chat/email/portal, escalate when needed, mentor Level I engineers, visit customer sites, manage KPIs, contribute to QBRs, run knowledge-sharing and cover manager duties during absences.

Lead business development and deliver consulting solutions to city and county governments. Build and leverage networks, conduct strategic outreach, represent the firm at meetings and conferences, and support executive search, interim staffing, and consulting engagements.

Support and enhance Enterprise GIS within the ESRI ecosystem: design, develop, test, document, and release low/no-code applications; gather requirements; manage multiple application projects; integrate systems and troubleshoot production issues; coordinate data conversions and compatibility; evaluate software packages; and create and maintain metadata.

Develop and productionize consumer-facing AI features using LLMs. Collaborate across the AI stack, run A/B tests and evaluations, improve model reliability and guardrails, and optimize latency, cost, and scalability of production AI systems.

Own payments and checkout end-to-end: set roadmap, ship checkout and subscription features, run A/B tests, manage payment vendors/processors, monitor rebill/auth/chargeback health, resolve billing escalations, and build Looker/BigQuery dashboards to track performance and impact.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.