Top Tech Jobs & Startup Jobs in Wichita, KS

Manage day-to-day donor-advised fund (DAF) grant operations, ensuring compliant, accurate processing of domestic and international grants; oversee a team of grants associates; handle special/complex grantmaking, payments, reporting, reconciliations, and cross-functional collaboration; drive process improvements and serve as escalation point for complex cases.

Design, build, and operate large-scale data pipelines and ETL processes to normalize varied partner datasets. Lead technical decisions, mentor engineers, implement testing and monitoring, manage data warehouses/lakes, and collaborate cross-functionally to deliver robust data infrastructure that supports ML and product teams.

The role involves owning a territory, closing new logos within large health systems and physician groups, managing sales cycles, delivering proposals, and collaborating cross-functionally to support company growth.

Manage and grow Jumio's largest enterprise accounts by developing long-term strategies, driving revenue and retention, identifying expansion opportunities, coordinating cross-functional teams, and communicating value propositions to maximize customer satisfaction and account growth.

The Account Executive is responsible for managing and growing accounts through strategic planning, client collaboration, and ensuring a positive customer experience, while meeting sales goals.

The Engagement Manager will lead projects, manage client relationships, provide strategic solutions, and drive business growth, particularly in the life sciences sector.

The Tax Director will oversee tax compliance and consulting for flow-through clients, manage engagements, mentor staff, and develop innovative financial strategies.

Develop custom scoped applications on the ServiceNow platform, collaborate with teams on data interfaces, and manage application testing and development requirements.

As a Full-Stack Software Engineer, you'll build user-facing features, optimize GraphQL backend, and develop scalable systems, contributing significantly to the company's growth.

Develop, optimize, and deploy production-grade computer vision models (depth, segmentation, tracking) for an autonomous mower. Own model lifecycle from data collection and synthetic-data strategies through training, edge optimization (quantization, mixed precision), and embedded NVIDIA GPU deployment. Integrate perception with robotics stack, analyze field failure cases, and continuously improve robustness for challenging outdoor conditions.