Top Tech Jobs & Startup Jobs in Kansas City, MO

Manage and optimize the marketing tech stack (HubSpot, Salesforce, WordPress), execute end-to-end campaigns, maintain data hygiene and attribution, produce and manage video content for web and social, and deliver marketing analytics and reporting to support sales alignment and leadership decision-making.

Lead strategy, build and scale a global partnerships ecosystem (ERP, fintech, banks, ISVs, VARs, SIs) to drive partner-sourced pipeline, revenue, and platform expansion. Own partner negotiations, commercial models, cross-functional integration, and team development while leveraging AI/data insights and ensuring compliance.

Lead and optimize order-to-cash and ASC 606-compliant revenue recognition for a SaaS business. Oversee billing, collections, systems integrations (CRM, billing platforms, ERP), KPIs, internal controls, and team leadership. Drive process automation, audit readiness, and strategic initiatives to support scaling, cash management, and cross-functional collaboration.

Provide technical support to enterprise customers for Claroty CPS protection platform—troubleshoot complex networking and Linux issues across SaaS and on‑prem environments, reproduce and resolve high‑impact cases, collaborate with R&D/Product/Customer Success, escalate when needed, and maintain proactive customer relationships and reporting.

Build and maintain full-stack features for Marine and RV & Camping platforms, use AI-assisted tools responsibly, collaborate across teams, reduce technical debt, troubleshoot issues, mentor engineers, and write automated tests to ensure production reliability.

Build and maintain WordPress-based customer websites for bookings and reservations. Implement custom themes, plugins, and integrations with Newbook via REST APIs. Use AI-assisted development tools to accelerate coding, testing, debugging, and documentation. Collaborate on architecture, CI/CD interactions, performance, accessibility, SEO, and security. Write tests, reduce technical debt, and work cross-functionally to deliver reliable production software.

Lead a ~10-engineer team to build and modernize cloud-native SaaS for marinas. Stay hands-on with Node.js/React/TypeScript code, drive architecture and migrations, enforce testing/observability/CI-CD, run incident response, recruit and coach engineers, and implement AI-assisted development practices aligned to product goals.

Identify, engage, and qualify prospective clients to build pipeline for sales leaders. Conduct outreach, manage leads and follow-ups in a CRM, create strong market impressions, and collaborate with sales, marketing, delivery, and partners.

Lead forecasting, budgeting, and financial modeling to support executive decision-making. Prepare management reports, variance analyses, and dashboards; partner with Accounting during close; improve forecasting and reporting processes; ensure data integrity and compliance; and present financial insights and recommendations to stakeholders and leadership.

Own and run the customer onboarding journey from post-sale through go-live and early adoption. Create implementation plans, remove blockers, coordinate cross-functional teams, drive time-to-value, ensure go-live readiness and handover to Customer Success, and improve onboarding processes.

Lead enterprise customer success for an AI-driven SOC product: drive value realization, manage account health and QBRs, scale success playbooks, optimize adoption and time-to-value, translate customer feedback into product requirements, and serve as a strategic advisor to customer security leaders.

The Customer Success Manager will manage post-launch relationships with enterprise customers, drive adoption and engagement, ensure renewals and upsells, and enhance customer value through collaboration with internal teams.

Verify and quality-check evaluation tasks for frontier AI models: confirm correct answers and evidence, spot and explain errors, apply skeptical verification, and communicate concise findings. Work remotely ~20 hours/week on a one-month contract (possible extension), meet delivery deadlines, and prioritize what needs deeper review versus quick resolution.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

Lead delivery of Data Management and Analytics projects, manage project health across scope, schedule, budget and risks, act as primary client contact, drive customer satisfaction, position additional work, and direct globally distributed teams using Agile and Waterfall methodologies.