Top Artificial Intelligence Jobs in Des Moines, IA

The Solutions Engineer partners with Sales, Customer Success, Product, Engineering, and Support to guide customers from discovery through implementation and expansion. Responsibilities include technical discovery, solution and workflow design, onboarding, QA, deployment, RFP and RFI responses, customized product demonstrations, and advising clients across web, iOS, Android, and cloud integrations. The role also advocates for customer needs and drives product improvement.

Own the full-cycle sales process for Eulerity’s AI-powered marketing automation platform, targeting mid-market, multi-location, and franchise brands. Responsibilities include prospecting, discovery, product demonstrations, negotiation, closing new business, meeting quotas, forecasting in HubSpot, and collaborating with SDR, Customer Success, Product, and Marketing teams. The role requires mar-tech sales expertise, strong digital marketing knowledge, and experience managing complex, multi-stakeholder SaaS deals.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Own and scale sales enablement across the GTM organization, including onboarding, certifications, training calendars, playbooks, coaching, value-selling adoption, and strategic events. Build role-specific development programs, improve content governance, and use AI and performance data to measure readiness, methodology adherence, and business impact. Partner closely with Sales, Sales Engineering, Product Marketing, and GTM leadership in a growth-stage B2B technology environment.

Own product direction, roadmap, priorities, and outcomes for an AI platform serving contractors. Lead customer discovery, product strategy, requirements, launches, measurement, and iteration while partnering closely with leadership, engineering, and customer-facing teams. Make evidence-based product decisions, prototype with AI tools, manage technical tradeoffs, and establish scalable product management practices in an early-stage company.

Own the product strategy, roadmap, and ongoing operations for KarmaCheck’s ATS, HRIS, HCM, VMS, partner, and public API integrations. Define data flows, API and webhook capabilities, versioning, error handling, documentation, and implementation tooling. Partner with engineering and external platforms, support customer discovery and enterprise sales, scope implementations, enable internal teams, and bring AI and screening products into customers’ existing systems.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Owns the end-to-end deployment of unmanned forklifts, from project kickoff and planning through on-site setup, commissioning, validation, and completion reporting. Acts as the technical liaison among customers, engineering teams, SI partners, manufacturers, and ODM vendors. Responsibilities include requirements analysis, project scheduling, system integration support, troubleshooting, stakeholder communication, deployment documentation, and field feedback. Requires extended travel and assignments in warehouses or industrial environments.

Owns the mortgage platform’s product strategy, roadmap, feature prioritization, and execution. Analyzes market, customer, and competitive needs; acts as product evangelist and subject-matter expert; and collaborates with development and business analysis teams to deliver software products. The role requires mortgage loan origination expertise, experience building integration-heavy software products, familiarity with AI tools, technical and strategic judgment, agile development knowledge, and strong communication and leadership skills.

Build and operate security-critical backend systems in Python, including encryption, key management, sensitive-data controls, credential protection, tenant isolation, authentication, signing, and token handling. Own projects end to end from investigation and architecture through implementation, migration, staged rollout, observability, and recovery. The role requires applied cryptography, strong trust-boundary judgment, and experience safely evolving systems handling sensitive or regulated data across cloud, VPC, and on-premises deployments.