Top Remote Jobs in Kansas City, MO

Own post-sale technical adoption, value realization, account health, renewals, and customer success for enterprise data teams. Lead technical success plans, monitor adoption metrics, conduct value-focused QBRs, coordinate Solutions Engineering, Product, and Professional Services, resolve data engineering challenges, and communicate customer feedback to influence the product roadmap. The role requires expertise in B2B SaaS, modern data stack technologies, enterprise relationship management, executive communication, and up to 30% customer travel.

Develop and execute joint go-to-market and partner marketing plans for AWS global systems integrators and consulting partners. Lead integrated campaigns across digital, content, webinars, events, ABM, and demand generation. Manage AWS marketing development funds, partner relationships, agency coordination, pipeline attribution, performance reporting, and executive presentations to maximize partner engagement, marketing ROI, cloud adoption, and pipeline growth.

Provide hands-on technical leadership for reusable cyber ranges, virtual-machine images, network architectures, and infrastructure automation. Design standards and automation with Ansible and Packer; troubleshoot complex networks, Windows, Linux, VMware, Active Directory, security tooling, and ICS/OT environments. Lead cross-team technical decisions, improve testing and release practices, mentor engineers, delegate ownership, and develop scalable, secure, supportable range solutions.

Manages end-to-end onboarding and implementation for new and renewing employer group insurance clients. Configures rates, benefits, commissions, and eligibility rules; coordinates clients, producers, TPAs, technology partners, and internal teams; leads kickoff meetings and stakeholder reviews; troubleshoots implementation issues; supports testing, documentation, training, and post-launch support. The role also drives process improvements and provides subject matter expertise and mentorship within group insurance onboarding.

Leads end-to-end delivery of enterprise supply chain analytics and optimization implementations. Responsibilities include engagement governance, solution architecture, modeling, data integration, configuration, UAT, adoption, change management, and executive stakeholder alignment. Manages global cross-functional teams, scopes statements of work, drives delivery accountability, and provides product roadmap feedback. The role is hands-on and customer-facing, requiring strong technical delivery, supply chain analytics, and program management expertise.

Lead the hands-on development of Vida’s secure data and AI/ML platform, including ingestion, data modeling, MLOps, model serving, feature pipelines, LLM integrations, DevOps, observability, and infrastructure. Partner with security and IT to protect sensitive health data and meet HIPAA/HITRUST-aligned controls while establishing scalable engineering patterns across the organization.

Execute manual test cases and plans, perform functional/system/integration/regression/UAT testing, log and validate defects, collaborate with developers and stakeholders, and maintain testing documentation to ensure applications meet functional and usability requirements.

Serve as a technical advisor to prospective customers, supporting Account Executives with fraud and compliance discovery, customized product demonstrations, RFPs, security reviews, and solution designs. Collaborate with Product and Engineering to improve Sardine’s platform and sales processes. Communicate complex technical and business concepts to global clients and contribute to revenue growth in a remote-first environment.

Supports Apptio TBM capabilities through configuration, maintenance, enhancements, issue resolution, data management, reporting, and quality controls. Collects and analyzes benchmark data, defines business requirements, maps processes, and partners with IT, business units, consultants, and stakeholders to solve technology-related business problems. Assists with strategy, planning, portfolio management, documentation, platform enablement, and mentoring.

Build and deploy predictive models that drive partner action, analyze conversational and unstructured data using NLP techniques, and monitor model performance in production. Own AI data tooling, evaluation frameworks, in-warehouse model configuration, and reusable analytics foundations. The role also establishes modeling standards, evaluates fairness and limitations, collaborates with engineering and product teams, and prioritizes high-impact work across a lean data organization.