Top Tech Jobs & Startup Jobs in Wichita, KS

Lead go-to-market for an AI healthcare platform: source and close enterprise deals with provider groups and payers, build revenue operations (pipeline tracking, forecasting, CRM hygiene), create product marketing and sales materials (RFPs, business cases, pilots), surface market intelligence, and connect founders, product, and customers.

Collect past-due B2B accounts via phone, email, and mail to meet revenue goals. Negotiate payments and settlements, update proprietary systems, follow client-specific handling instructions, maintain accurate records, support teammates, and pursue process improvements while providing professional customer service.

Own AI solution vision and delivery from intake through production. Define product and business requirements, manage backlogs and sprints, run stakeholder communications and demos, set acceptance criteria and KPIs, coordinate handoffs to platforms, ensure responsible AI practices, and manage multiple concurrent prototyping-to-production engagements.

Partner with senior operations leaders to drive workforce planning, org design, large-scale change, talent reviews and succession planning. Provide data-driven insights, strengthen leadership capability, manage employee relations, advise on compensation and partner with HR Centers of Excellence to deliver enterprise HR programs. Support Clinical Operations, Manufacturing, Procurement, and Customer Care. Remote U.S.-based role with ~20-30% domestic travel.

Administer and maintain IRIS for Health integration platforms on AWS EC2 and Linux, manage network security and PaloAlto VPNs, build CI/CD with CodeFresh/GitLab, integrate and troubleshoot EHR interfaces (Epic, Cerner, Allscripts), automate provisioning with scripting (Python, ObjectScript, Bash, JavaScript), implement infrastructure automation, monitor systems, participate in on-call support, and optimize performance and reliability.

Lead Revenue Operations for a high-growth B2B SaaS go-to-market organization: own forecasting, pipeline management, revenue analytics, process design, systems and data governance, automation/AI initiatives, and a team of analysts to drive scalable revenue performance and executive reporting.

Support clients by collecting, cleaning, and analyzing data from multiple sources using Excel, SQL, R or Python. Present insights and data-driven recommendations to clients, collaborate with teams to understand business needs, and participate in professional development while mentoring junior teammates.

Lead strategic customer engagements to drive adoption and cloud security best practices for enterprise clients. Own projects, influence stakeholders from technicians to CISOs, identify expansion opportunities, deliver TCO/business cases, enable teams via training and governance, and advocate customer security needs internally to maximize Wiz value.

The Marketing Specialist will manage global demand generation initiatives, oversee webinar logistics, coordinate B2B marketing campaigns, and collaborate with cross-functional teams to ensure smooth execution.

As a Threat Intelligence Researcher, you will analyze advanced threats targeting cloud environments, track adversaries, and communicate findings to stakeholders.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

Lead accessibility strategy and hands-on UX work to embed WCAG standards into design systems and product workflows. Partner with product, engineering, and research teams to perform audits, drive remediation, create accessible components and Figma libraries, run training, and advocate inclusive design across products.

Lead PIM/PXM strategy and architecture to enable product activation and digital shelf performance. Define governance, data models, workflows, and syndication; run workshops, mentor delivery teams, and translate business needs into implementation plans.

Lead and coach one or more Agile Release Trains (ARTs) to ensure predictable delivery of value. Facilitate PI planning and ART ceremonies, manage dependencies and risks, track progress and metrics, remove impediments, and drive continuous improvement across teams while partnering with product, architecture, security, and platform stakeholders.

Lead engineer for an emerging GraphQL API platform: research, design, and develop gateway/router, subgraphs and supergraph composition; collaborate with consuming digital teams and domain API teams; own CI/CD, cloud deployments, Kubernetes/containerization, release and environment management; mentor teammates and coordinate vendors and infrastructure for successful delivery.

Lead a multidisciplinary team to design, deploy, and optimize ML-driven bidding systems and measurement for a nine-figure marketing budget. Drive experimentation, partner strategy, media-mix optimization, and end-to-end measurement while aligning Marketing, Analytics, Engineering, and Product to improve marketing ROI and scale performance.

As a Lead Machine Learning Engineer at Root, you'll build scalable ML systems, partner with data scientists, and improve operational practices for customer lifetime value modeling.