Top Artificial Intelligence Jobs in Des Moines, IA

Lead end-to-end design for a product domain within an AI-powered ADAS calibration platform: scope from PRD through release, solve safety-critical and insurer-facing edge cases, build within and strengthen the design system, validate via research, and collaborate closely with product and engineering to deliver production-ready UI and specs.

Provide expert coaching to professionals and business leaders on adopting and scaling AI: identify high-impact use cases, develop AI strategy, lead transformations, and deliver practical, actionable guidance via virtual coaching sessions.

Research, draft, edit, and validate practitioner-facing US federal tax articles using AI tools. Ensure accuracy and currency, collaborate with data scientists, and align content with tax firm workflows and customer needs while helping build the content function.

Partner with sales to demo and prove Flare's platform, run end-to-end POCs, interpret threat findings, deliver briefings to ISACs, train sales, and feed field insights into product and research. Engage technical stakeholders, support deal execution across time zones, and represent Flare at events.

Identify and outbound-prospect target enterprise accounts, engage senior stakeholders, qualify opportunities via structured discovery (e.g., MEDDPICC), build multichannel outreach sequences, and create accurate handoffs to Account Executives to convert prospects into sales pipeline.

Top-of-funnel SDR focused solely on outbound prospecting (email, LinkedIn, cold calling), running discovery calls and tailored product demos, qualifying leads, and delivering clean handoffs to CSMs. No post-sale or account management responsibilities.

Lead and build GRAI's artist relations function: define strategy, develop onboarding and co-marketing frameworks, run high-value relationships, hire and lead the team, and translate artist insights into product and marketing decisions while partnering across the company.

Manage relationships with dealership customers to drive product adoption, demonstrate ROI, minimize churn, analyze performance data, and coordinate cross-functional plans to optimize customer lifetime value and revenue opportunities.

The QA Engineer will analyze test requirements, automate testing, maintain frameworks, troubleshoot issues, and participate in design discussions, ensuring quality in a dynamic environment.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.