Top Tech Jobs & Startup Jobs in Kansas City, MO

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate property and casualty products, and convert prospects into policyholders. Complete paid licensing and sales training, represent the Liberty Mutual brand, maintain accurate customer communications, and meet sales goals. The role is remote but requires residence in an approved state, a dedicated workspace, wired high-speed internet, and availability for weekday and weekend shifts.

Leads and develops a Customer Success team serving complex enterprise technology customers. Drives customer outcomes, value realization, retention, renewals, expansion, lifecycle execution, risk mitigation, and executive engagement. Establishes scalable success practices, playbooks, operating rhythms, and metrics while coordinating Sales, Delivery, Operations, Consulting, Support, and Engineering teams. Acts as a senior escalation point and ensures customer portfolios remain aligned with business goals and long-term technology transformation initiatives.

Owns net-new customer acquisition and revenue growth across commercial and mid-market accounts in the Southern Plains territory. Responsibilities include prospecting, qualifying opportunities, building pipeline, conducting discovery, presenting cloud storage and data infrastructure solutions, engaging channel and cloud partners, forecasting, maintaining Salesforce records, negotiating, and closing new business. The role requires disciplined pipeline management, technical value translation, and collaboration with sales, marketing, alliances, and leadership teams.

Conduct workplace threat, assault, employee relations, discrimination, harassment, and retaliation investigations in a manufacturing environment. Develop investigation plans, interview involved parties, assess threats, document findings, recommend outcomes, and ensure timely case closure. Partner with HR, Labor Relations, Security, legal counsel, and company leaders on investigations, discipline, grievances, arbitration, and litigation. Analyze case trends and promote ethical, compliant, and safe workplace behavior.

Leads conveyor engineering, fabrication, installation, startup, and operational activities across GM assembly plants. Manages multiple projects, timelines, financials, suppliers, and cross-functional coordination. Develops conveyor layouts and lean designs, supports material presentation, ensures compliance with GM standards and safety requirements, resolves technical and operational issues, and tracks deliverables through completion. The role is onsite, requires 25–50% travel, and includes regular motor vehicle operation.

Run and scale production cloud infrastructure for a global IoT virtual-fencing platform. Responsibilities include AWS infrastructure, database performance, profiling, load testing, monitoring, incident response, capacity planning, infrastructure as code, CI/CD automation, multi-region deployments, and platform reliability. The role also supports North American operations, collaborates with global R&D teams, investigates telemetry workloads, and develops tooling using Python or Node.js.

Owns end-to-end revenue recognition for SaaS subscriptions, usage-based billing, and professional services under ASC 606. Responsibilities include contract analysis, deferred revenue reconciliation, NetSuite billing, month-end close, reporting, technical accounting support, policy and SOX documentation, audit coordination, and cross-functional partnership. The role also designs agentic AI solutions to automate invoicing, reconciliations, and revenue workflows, while improving quote-to-cash systems and SaaS metrics reporting.

Own the end-to-end data platform strategy, architecture, budget, reliability, quality, privacy, and delivery of customer-facing data products. Lead Snowflake and Databricks decisions on AWS, establish SLAs, observability, testing, lineage, alerting, and 24/7 on-call operations. Build identity resolution and data-quality programs, manage licensed data feeds, ensure privacy compliance, and hire and develop data engineering leaders and teams. Partner with executives and cross-functional stakeholders to deliver trusted, cost-effective data products.

Own the full outbound sales cycle for mid-market merchants, including prospecting, pipeline development, discovery, product demonstrations, negotiation, and closing. Develop tailored multi-product solutions, acquire new logos, manage complex stakeholder deals, forecast accurately in Salesforce, and exceed revenue targets. Collaborate with business development, product, marketing, implementation, and operations teams while serving as a trusted advisor to customers.