Top Tech Jobs & Startup Jobs in Des Moines, IA

Perform financial and operational analysis, build models and dashboards, translate data into strategic recommendations, support fundraising and M&A workstreams, prepare CEO/BOD-ready materials, execute unit economics, pricing, and ROI projects, and improve firm tools and client delivery.

Lead and manage client engagements delivering financial operating models, strategic analyses, and recommendations to C-suite. Oversee M&A and fundraising work, ensure project delivery, support business development and proposals, and mentor team members to maintain high standards.

Lead strategic finance engagements including financial and operating modeling, unit economics, cash management, and transaction support (M&A, equity/debt fundraising). Advise C-suite, implement process automation, oversee external providers, and deliver actionable recommendations to improve profitability, cash flow, and capital structure.

Build end-to-end product features with a backend focus: schema and API design, UI work in React/TypeScript, GCP/Terraform infrastructure, CI/CD, DB performance tuning, production ownership, and product decision-making using AI coding tools.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Own the enterprise product roadmap and platform capabilities for Tavily’s API, including identity, permissions, quotas, spend controls, observability, audit, policy enforcement, and data residency. Partner with enterprise customers, sales, customer success, and engineering to identify scalable product needs, prioritize roadmap investments, support technical buyers, and enable enterprise adoption. This senior individual contributor role requires strong expertise in developer-facing APIs, enterprise platforms, AI agents, and technical product management.

Partners with sales leadership to execute go-to-market strategy and improve revenue operations across the Americas. Owns forecasting, pipeline health, territory alignment, CRM governance, quarterly planning, dashboards, lead routing, and GTM workflows. Collaborates with Finance, Marketing, and other stakeholders to improve reporting, data hygiene, processes, documentation, and system rollouts. Provides analysis and operational insights in a fast-paced, scaling environment.

Own the complete lifecycle of enterprise SaaS applications, including evaluation, procurement, deployment, optimization, renewals, and retirement. Manage platforms such as Slack, Zoom, Miro, Atlassian, Microsoft 365, and DocuSign while overseeing vendor relationships, contracts, licensing, security, compliance, AI governance, disaster recovery, and business continuity. Lead cross-functional initiatives, improve automation and operational processes, and establish reliable support, documentation, and governance frameworks across the enterprise.

Own and evolve CI/CD pipelines, AWS EKS Kubernetes infrastructure, Infrastructure-as-Code, GitOps practices, and developer experience tooling. Improve platform reliability through observability, lead incident response and post-incident reviews, establish DevOps standards, and reduce operational toil. The role provides architectural guidance, mentors engineers, supports service onboarding, maintains documentation, and drives platform investments across a large engineering organization.

Owns the strategy, roadmap, requirements, and delivery of data products, analytics capabilities, and data infrastructure. Partners with engineering, architecture, DevOps, and stakeholders to deliver secure, scalable platform features, manage Agile backlogs, define adoption metrics, support incident reviews, and identify AI opportunities. The role also contributes to technical planning, customer escalations, documentation, hiring, and cross-functional initiatives.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Design, develop and support cloud applications using Cloud Foundry and Node.js. Apply object-oriented design and SQL (HANA). Work with APIs and eventing, use VS Code. Prefer SAP CAP/BTP and SAP experience. Collaborate in agile/SCRUM teams, communicate effectively, take ownership, and ensure high quality.

Senior full-stack developer to build scalable SAP BTP applications using Node.js, CAPM, and SAP UI5/Fiori; integrate with S/4HANA and third-party systems; optimize performance, ensure secure deployments, and follow Agile practices.

Provides first-line support for operators, vendors, and internal teams by triaging tickets, managing queues, escalating issues, and meeting SLA expectations. Supports customer onboarding through data uploads, spreadsheet manipulation, AI accuracy reviews, and data audits. Configures templates and contract requirements, maintains documentation in Notion and knowledge bases, and contributes to cross-functional process improvements in a remote startup environment.

Own end-to-end customer implementations from post-sales onboarding through launch. Lead needs assessments, translate business requirements into project specifications, manage timelines and deliverables, identify risks, and coordinate internal teams across HR Benefits, Payroll, HRIS, IT, Finance, Product, Engineering, Support, and Customer Success. Serve as the primary customer liaison, develop training materials, advocate for client needs, and support upsell and expansion initiatives.

Lead and build a data science and analytics organization focused on operations and finance analytics. Define and execute an applied AI/ML roadmap (including LLMs and agentic systems), hire and mentor teams, partner with stakeholders to translate problems into production AI capabilities, and collaborate with data engineering and platform teams to ensure data quality, orchestration, and evaluation.

Design and implement automated cloud security controls across multi-cloud environments. Integrate security into CI/CD pipelines, harden infrastructure and IaC, manage IAM and secrets, advance container and workload security, protect AI/ML systems and data, and support monitoring, detection, and incident response for cloud applications.