Top Tech Jobs & Startup Jobs in Kansas City, MO

Lead technical assistance projects for community colleges and workforce systems. Advise on work-based learning, apprenticeships, credentials, student outcomes, higher education in prisons, data practices, and policy. Translate research into tools, training, and guidance; manage teams and projects; engage stakeholders; and support business development with public, nonprofit, and foundation clients.

Design and release high-quality PCBs for a satellite communications system. Translate schematics into layouts, optimize placement and routing, manage Altium libraries, generate fabrication files, and coordinate with vendors to resolve fabrication and assembly issues.

Administers and optimizes enterprise endpoint computing, virtual desktop, identity management, clinical workspace, and Windows Server environments. Provides Tier 2 and Tier 3 support across more than 5,000 users and endpoints, managing Azure Virtual Desktop, Citrix, Okta, Entra ID, Active Directory, Microsoft 365, Imprivata, and IGEL. Responsibilities include troubleshooting, patching, access management, infrastructure maintenance, documentation, ITIL service operations, disaster recovery participation, process improvement, mentoring, and occasional on-call support.

Lead and operationalize New Product Introduction (NPI) for commercial launches: define process, own end-to-end launch program, design pricing/quoting/approval logic, run UAT, coordinate go-live readiness, integrate acquired products, and build automation and tooling to improve launch reliability and speed.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.

Build the company’s outbound top-of-funnel motion from scratch across SMB and enterprise e-commerce accounts. Responsibilities include prospecting through email, phone, LinkedIn, events, communities, and direct messages; creating account lists and ICP definitions; researching prospects; writing and testing messaging; operating AI-assisted outbound tools; qualifying opportunities; partnering with founders and AEs; and documenting repeatable sales processes.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Own the full SMB sales cycle from discovery through close, convert inbound and event-generated opportunities, manage pipeline and forecasts, and consistently achieve quota. Build trust with medspa entrepreneurs, conduct consultative discovery, sell a revenue-share model based on customer outcomes, and collaborate with SDRs. Share customer insights and help improve sales methodology, talk tracks, and objection handling as Moxie scales.

Support attorneys with legal research, document preparation (briefs, memos, reports), case management, and regulatory monitoring. Analyze environmental law issues, maintain organized case files, collaborate on case strategies, and assist in preparing materials for client matters.

Design, deliver, and maintain onboarding and compliance training for attorneys and staff. Create training materials, coordinate logistics, manage learning repositories, collect feedback, and support knowledge-management and SOP documentation.

Build, secure, and operate AWS infrastructure supporting AI services and federal applications. Deploy and manage production AI capabilities, cloud-native applications, infrastructure-as-code, CI/CD pipelines, containers, identity and access controls, secrets, monitoring, logging, and observability. Develop data pipelines using Python, SQL, and AWS services including S3, Glue, Lambda, and Step Functions. Establish reusable AI infrastructure patterns, support multiple application teams, troubleshoot issues, and meet security, privacy, and data-retention obligations.