Top Tech Jobs & Startup Jobs in Des Moines, IA

Owns OuterBox’s internal and client-facing product portfolio, including applications, automation, AI, and LOOP Analytics. Defines product vision, architecture alignment, priorities, KPIs, and go-to-market strategy while leading Product Managers. Directs product discovery, requirements, Agile delivery, pilots, rollouts, adoption, and performance reporting. Partners with technology leadership and development teams to build scalable, user-centered products and evaluate emerging technologies.

Lead investor relations, capital markets engagement, fundraising, investor and Board communications, valuation analysis, and public-company readiness. Partner with the CEO, CFO, Finance, Legal, and Communications teams to shape Hello Heart’s investment story, build institutional investor relationships, support a Series E financing, and prepare the company for a potential IPO.

Leads the organization’s AI strategy, agentic automation, AI platforms, model strategy, governance, security, and product integration. Oversees global engineering teams, vendors, budget, build-versus-buy decisions, AI adoption, evaluation practices, and regulatory readiness. This hands-on leadership role requires production experience with agentic AI, RAG, cloud AI services, model economics, and enterprise AI governance.

Leads ESI’s Suitability Review unit, ensuring new accounts and transactions comply with written supervisory procedures, regulations, and company policies. Oversees complex suitability decisions, escalations, audits, process improvements, forms, technology projects, vendors, and cross-functional risk management. Develops leaders and associates while promoting accuracy, efficiency, continuous learning, and strong stakeholder communication.

Secure CI/CD pipelines and cloud infrastructure through automated SAST, DAST, vulnerability scanning, IaC enforcement, container security, secrets management, and observability. The intern will use Terraform, Docker, Vault, and monitoring tools to protect applications and AI agents, collaborate with developers on vulnerability remediation, and implement security controls for Node.js, React, and LLM-based systems.

Coordinates strategic AI programs across engineering, product, legal, risk, compliance, security, HR, and business teams. Develops execution plans, governance frameworks, status reporting, risk registers, and executive communications. Supports AI platform and agent deployment initiatives, AI policy development, enterprise training, stakeholder alignment, and adoption. Requires strong program management, AI technology understanding, organizational skills, and experience managing complex cross-functional initiatives.

Create immersive, user-centered experiences across mobile, wearable, spatial, and emerging interfaces. Produce motion studies, wireframes, prototypes, storyboards, conceptual diagrams, and high-fidelity design artifacts. Collaborate on multidisciplinary client projects, help develop workflows and tools, share knowledge, and support immersive, interaction, visual design, marketing, and internal initiatives.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Build and own full-stack, AI-native products for online learning using TypeScript, Vue.js, Node.js, Azure, retrieval pipelines, agentic workflows, model APIs, and LLM evaluations. Lead features from prototype through production, ensuring scalability, security, observability, cost control, and graceful model failure handling. Mentor engineers, establish AI-assisted development standards, conduct code reviews, and collaborate with product and engineering teams in a remote, async-first environment.

Lead a small AI engineering team while remaining hands-on in research and production software development. Build agentic capabilities for monitoring, guardrailing, evaluation, collaboration, and security. Perform exploratory data analysis, feature engineering, model fine-tuning, prototyping, and technical design. Translate AI research into scalable product features, set technical direction, mentor engineers, and deliver reliable production code.