Top Artificial Intelligence Jobs in Des Moines, IA

Manage full-cycle recruiting, candidate pipelines, interview coordination, onboarding, employee lifecycle administration, HR recordkeeping, policy maintenance, and employee communications. Serve as first point of contact for HR questions, improve HR processes, and support a distributed workforce.

Conduct China-focused semiconductor and AI supply-chain research, produce data-rich equity notes and weekly coverage, build bottoms-up financial models for Chinese foundries, fabless designers, memory and equipment firms, monitor disclosures and policy, engage industry contacts, and support institutional clients with timely analysis.

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.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Design, build, and maintain backend services and APIs using Ruby on Rails. Ensure performance, scalability, reliability, and test coverage. Collaborate with Product, Frontend, Data Engineering, and QA to deliver production-quality code for web and mobile platforms.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Own and develop a defined territory of mid-market and enterprise accounts, conducting personalized multi-channel outbound prospecting and qualifying inbound leads. Engage finance and IT decision-makers, conduct discovery, handle objections, generate qualified pipeline, and partner with Account Executives on account planning and handoffs. Maintain accurate Salesforce data, build Outreach sequences, track conversion metrics, use prospecting and intent tools, and continuously improve outreach through coaching and performance analysis.

Own and develop a territory of mid-market and enterprise accounts, conducting personalized multichannel outbound prospecting and qualifying finance-focused buyers. Manage inbound leads, hold discovery conversations, handle objections, create qualified pipeline, and partner with Account Executives on account planning and handoffs. Maintain accurate Salesforce records, build Outreach sequences, track conversion metrics, use AI tools responsibly, and continuously improve performance through coaching and experimentation.

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.

Create and execute Instagram and LinkedIn content for trip-specific and between-trip engagement, including reels, posts, stories, annual content calendar, platform management, and monthly analytics reporting to support a luxury travel brand.

Build and optimize the core of a distributed compute engine in Rust for SQL and AI query processing. Responsibilities include designing and delivering engine capabilities, improving query performance, writing maintainable code, and solving complex systems and concurrency problems. The role requires expertise in data structures, algorithms, performance optimization, systems programming, hardware fundamentals, asynchronous programming, atomics, locks, and cache design.

Lead product design for Apollo GraphQL’s developer tools and core experiences. Identify high-leverage opportunities, modernize complex workflows, partner with engineering, establish design standards, contribute to the design system, and own initiatives from concept through launch. The role requires connecting design outcomes to business metrics and independently solving ambiguous problems for technical users, with potential work spanning onboarding, AI agent interfaces, and other product areas.

Own the end-to-end go-to-market enablement strategy for account executives, sales engineers, and customer success managers. Build onboarding, role-based learning paths, product-release readiness, competitive and customer-facing materials, and live training. Partner with Product, Engineering, Marketing, RevOps, and Field leadership to translate technical concepts into commercial value. Measure ramp time, certification engagement, and field productivity, while integrating AI into content creation, customer insights, coaching, and field workflows.

Build and maintain frontend-leaning, full-stack Creative and Studio products using React and Next.js. Develop AI interfaces, UX/UI workflows, proof-of-concept products, integrations, and end-to-end features. Collaborate with Design, Engineering, Growth, and Sales; iterate based on user feedback; maintain scalable, secure infrastructure; process large datasets; and mentor less experienced engineers. The role emphasizes strong portfolio work and demonstrated software engineering ability rather than formal degrees or certifications.

Build and maintain full-stack Creative Studio products across frontend, backend, APIs, infrastructure, and generative AI workflows. Develop new products and proof-of-concepts, improve existing platform functionality, support enterprise integrations, strengthen reliability and scalability, and process large-scale datasets for generative AI models. Collaborate with Engineering, Growth, Sales, research teams, and customers to solve complex product and workflow challenges.

Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.

Leads accounting operations, financial reporting, budgeting, forecasting, audit support, and IFRS compliance. Manages accounting teams, advises on complex revenue recognition and contract analysis, oversees post-acquisition integration and purchase accounting, and drives process improvements and system implementations. Partners with senior leadership and cross-functional teams to strengthen financial controls, reporting accuracy, and organizational financial performance.

Own product strategy, roadmaps, requirements, governance, executive reporting, AI innovation, legacy modernization, stakeholder alignment, and release readiness. Translate business objectives into user stories, process flows, acceptance criteria, and measurable delivery outcomes. Partner with customers, engineering, UX, QA, and business leaders to prioritize initiatives, manage risks and dependencies, validate solutions, and improve enterprise SaaS workflows.

Owns the customer lifecycle for IoT deployments, including pre-sales discovery, solution design, demos, implementation, hardware configuration, API and MQTT integrations, troubleshooting, training, and post-launch technical account support. The role translates operational needs into documented solutions, analyzes deployment data, manages customer handoffs, collaborates with engineering, and supports account growth. Travel of up to 50% is required.