Top Remote Jobs in Kansas City, MO

Manage a portfolio of mid-market and SMB law firms through onboarding and ongoing success, enhancing relationships and identifying growth opportunities.

As a Customer Support Lead, you will manage support tickets, handle escalations, build systems for documentation, and develop a support team.

The Customer Success Lead will manage enterprise accounts, drive customer adoption, ensure value realization, and oversee onboarding and account health.

The Staff/Principal Full Stack Engineer will design and build core web applications, backend services, and integrate AI capabilities for healthcare-focused operational tools.

Join UTOPIA's Expert Network to provide mentorship, technical and commercial guidance, strategic introductions, fundraising support, workshops, research, and venture-studio collaboration to founders and portfolio companies across emerging markets. Flexible, advisory engagements ranging from one-off sessions to longer-term support; roles are Doha-based with hybrid options and global travel opportunities.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

Support month-end close, prepare journal entries, perform general ledger and bank reconciliations, maintain fixed asset and depreciation records, assist with commissions and accounts payable backup, manage credit card documentation, and identify process improvements while partnering with cross-functional teams and supporting audit documentation.

The Account Executive will drive growth by generating business opportunities, nurturing client relationships, conducting presentations, and managing the sales cycle in the K-12 education sector.

The Technical Recruiting Manager will lead full-cycle technical hiring, develop a recruiting team, and partner with engineering and product leadership to enhance hiring processes and strategies.

Own and build the end-to-end customer lifecycle function: design onboarding, activation, adoption, engagement, and retention programs; create segmented personalized messaging and automated workflows; run A/B and multivariate tests; analyze behavior and campaign performance; partner with Customer Success and Sales to drive retention and product adoption; maintain a roadmap to improve retention, adoption, and LTV.

Own end-to-end product execution across discovery, delivery, and iteration for SaaS, API, payments, and infrastructure. Engage weekly with users, define roadmaps, partner tightly with Design and Engineering, embed with GTM teams, and track product and feature metrics to deliver fast, scalable, and elegant solutions.

Lead and execute Deal Desk operations for new business, expansion, and renewals. Manage pricing, discount approvals, contract structuring, and complex deals while partnering with Sales, Legal, Finance, and Customer Success. Drive process improvement, automation, documentation, reporting, and enablement. Act as SME, escalation point, and mentor to analysts to increase deal velocity, protect margins, and scale deal desk capabilities.

Lead discovery, definition, and delivery of B2B SaaS product features. Own customer research, data-driven prioritization, UX collaboration, KPI tracking, and cross-functional execution with engineering, marketing, and customer success.

Own strategy, roadmap, and execution for client-facing analytics and AI insights. Deliver dashboards, reports, and conversational NLQ analytics. Partner with data engineering, data science, and platform teams to shape semantic models and LLM-backed analytics. Drive adoption with Sales, Customer Success, and Implementation teams and use AI tools to accelerate product work.