Top Remote Senior Level Jobs in Des Moines, IA

ParentSquare seeks a Revenue Operations Specialist to manage lifecycle strategy and automation, enhance customer engagement, and optimize go-to-market processes using HubSpot.

The Software Engineer will develop a modern data platform, manage architecture, write reusable code, and ensure system integrations. Responsibilities include collaborating with teams, documenting processes, and enhancing applications.

Drive product sales and specification adoption by architects, engineers, DOTs, and contractors through technical presentations, training, solution design, and relationship building. Monitor market and competitors, support product launches, provide field feedback to internal teams, and maintain CRM records. Frequent overnight travel required; acceptable motor vehicle record needed.

Lead end-to-end fintech partner implementations, ensuring compliance and project efficiency. Manage cross-functional teams and serve as a point of contact for partners. Develop implementation plans, oversee testing, and handle operational risks.

Provide ERISA legal advice for customer teams and product development at a fintech company focused on retirement plans, ensuring compliance and operational efficiency.

Lead QA activities for an IAM program: design and implement QA methodologies, create and run manual and automated tests, perform code/product reviews, triage defects, validate functionality/performance/security, and support CI/CD, UAT, and release validation across Agile teams.

The role involves developing global pricing and market access strategies for Solid Tumor pipeline products and ensuring alignment with payer needs through cross-functional collaboration.

Lead the credit strategy and portfolio oversight for ClarityPay, developing risk frameworks, collaborating on underwriting, and managing a risk team.

The Business Development Manager will focus on acquiring new clients and expanding accounts within the IT staffing sector, managing the full sales cycle and meeting revenue targets.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.