Top Artificial Intelligence Jobs in Des Moines, IA

Support the sales team by conducting cold calls, generating leads, assisting with sales strategies, handling administrative tasks, maintaining customer databases/CRM, and collaborating to meet sales targets while gaining hands-on experience.

Guide new clients through software implementation, including kickoff meetings, project planning, platform configuration, data coordination, training, launch support, and early adoption. Manage timelines, milestones, documentation, and risks while coordinating clients and internal teams. Conduct post-launch health reviews, identify adoption barriers, create scalable onboarding resources, and improve implementation processes. Support client events, feedback collection, renewals, and expansion through successful implementation outcomes.

Manage partnerships and sales operations by owning CRM data and reporting, coordinating partner onboarding and activations, building SOPs and automations, tracking partner performance, and supporting sales outreach and pipeline management to ensure flawless execution and scalable processes.

Own B2B pipeline generation and revenue outcomes through demand generation, events, campaigns, partnerships, content distribution, and full-funnel optimization. Lead a lean team, manage marketing investments, partner closely with Sales and GTM functions, oversee Salesforce handoffs and reporting, and execute high-impact national events. The role requires hands-on B2B marketing leadership, fast experimentation, executive presence, and accountability for bookings and pipeline.

Own Jumio’s customer marketing function by building lifecycle communications, advocacy and reference programs, customer advisory boards, case studies, peer reviews, webinars and executive events. Partner with Customer Success, Account Management, Sales and Product Marketing to support adoption, renewals and expansion. Manage customer proof and engagement programs, analyze participation and campaign data, and translate customer insights into product and go-to-market actions.

Build and maintain dbt analytics models using SQL and Jinja, implement data quality tests and freshness checks, create Metabase dashboards, perform ad hoc analysis, and collaborate with finance, product, sales, and customer success stakeholders. The role requires advanced SQL, data modeling, analytics engineering, documentation, statistical analysis, Git-based development, and CI/CD experience, with Snowflake, Python, and data analysis tools preferred.

Leads revenue growth and opportunity development within existing enterprise accounts. Builds executive relationships, develops account strategies, qualifies prospects, manages sales forecasts, closes complex deals, and communicates customer-driven product recommendations. The role requires consultative selling of strategic supply chain, ERP, and business intelligence solutions to manufacturing-oriented industries, engaging stakeholders across operations, finance, demand management, and IT.

Lead Replicant’s product design practice while remaining approximately 80% hands-on. Own the end-to-end enterprise customer experience, information architecture, design-system governance, research, prototyping, validation, and integration of product and conversation design. Influence cross-functional teams, establish design standards, guide hiring and development, and design AI and conversational experiences with strong failure recovery, trust, and usability.

Manage strategic enterprise accounts, building executive relationships, developing multi-year account plans, driving retention, expansion, upsell and cross-sell opportunities, and closing complex technology deals. Coordinate cross-functional Basis teams, lead executive business reviews, align customer priorities with company objectives, and represent Basis at customer and industry events.

Own strategic Life Sciences accounts and net-new targets, managing enterprise software sales from technical discovery through security review, procurement, deployment, and expansion. Build relationships with engineering, security, risk, and procurement stakeholders; run consultative evaluations; develop ROI cases; drive outbound pipeline; accurately forecast; and provide customer feedback to Product and go-to-market teams.