Top Artificial Intelligence Jobs in Des Moines, IA

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Lead end-to-end consultative sales cycles for Salesforce advisory, implementation, and managed services. Prospect enterprise clients, conduct executive discovery, shape digital transformation roadmaps, negotiate contracts, and close net-new business. Build C-suite relationships, expand existing accounts through cross-selling and upselling, position Salesforce AI solutions, collaborate with delivery and marketing teams, and represent Astound at industry events.

Owns end-to-end SaaS customer deployments from discovery through go-live. Leads customer workshops, defines roadmaps, scopes projects, coordinates cross-functional teams, manages risks and dependencies, oversees solution alignment, leads user acceptance testing, and ensures effective handoff to Customer Success. The role also documents lessons learned and improves deployment playbooks and processes.

Reviews automatically segmented English audio transcripts at the individual-word level. Verifies word boundaries, spoken text, and transcription accuracy; corrects errors; splits, merges, removes, or adds segments; and applies transcription conventions consistently. The role requires reviewing complete audio files, making careful judgments on difficult speech, and maintaining high accuracy and quality standards. Work is fully remote and freelance, with potential progression to reviewer or adjudicator responsibilities.

Own the systems, data, forecasting, and processes powering the SaaS go-to-market engine. Responsibilities include optimizing HubSpot and the broader revenue technology stack, improving attribution and data quality, managing PLG-to-sales-assist funnels, developing forecasts and scenario models, automating lead-to-cash and renewal workflows, building dashboards, supporting pricing and packaging tests, and aligning Marketing, Sales, Customer Success, Product, Payments, and Finance around revenue growth.

Drive enterprise and mid-market sales across North America by exceeding revenue targets, generating outbound pipeline, managing the full sales cycle, building stakeholder relationships, advising customers as a technical expert, and providing product feedback. The role requires experience selling complex SaaS or subscription solutions, sustainability solutions, and established North American networks. Travel for prospect meetings and industry events is required.

Own the full B2B SaaS sales cycle, including prospecting, discovery, demonstrations, negotiation, and closing. Build pipeline through outbound, inbound, and partnerships; manage CRM hygiene, forecasting, and quota performance. Engage IT, HR, operations, practitioner, and executive stakeholders, translating AI automation capabilities into measurable business value. Provide customer and competitive insights, and help establish the sales playbook and go-to-market processes as an early team member.

Lead onsite technology deployments for home care agencies across the United States. Responsibilities include device and router setup, user training, product presentations, onboarding management, troubleshooting, relationship building, adoption support, documentation in HubSpot, and cross-functional issue resolution. The role requires frequent travel, strong communication and coaching skills, comfort with non-technical users, and the ability to support older adults, families, caregivers, and agency stakeholders.

Support accounts payable, travel and expense processing, cash management, bank reconciliations, prepaids, accruals, journal entries, and month-end close. Maintain vendor records, assist with 1099 reporting, audits, compliance, cash forecasting, internal controls, and accounting automation. Partner cross-functionally to ensure accurate expense classification and invoice processing while improving ERP and finance operations.

Serves as the endpoint security subject-matter expert for support, Sales Engineering, and Customer Success. Diagnoses complex Windows and macOS endpoint issues, analyzes telemetry and logs, troubleshoots integrations with EDR, DLP, and MDM products, and provides prioritized customer recommendations. Partners with Engineering and QA on defect investigation and validation, maintains lab capabilities, and creates runbooks and documentation. The role also enables field teams to explain endpoint findings and improve customer outcomes.