Top Tech Jobs & Startup Jobs

Leads accounts receivable, credit, and working capital management. Owns DSO, aging, cash conversion, collections, credit policy, and risk oversight while improving cash flow. Manages and develops the AR/Credit team, drives billing and collections process transformation, and advances automation, ERP, analytics, and AI-enabled workflows. Partners with Finance, Sales, Operations, Customer Service, and executive leadership to improve financial performance, controls, and customer payment experiences.

Regional Business Manager responsible for growing and retaining agricultural sales accounts across Kansas and Missouri. The role serves beef and dairy producers through consultative sales of genetic and reproductive services, develops new business, manages strategic account plans, maintains CRM records, and delivers educational presentations. Success requires livestock industry knowledge, relationship-building, communication, independent field work, collaboration with internal teams, and extensive travel throughout the territory.

Own the strategy and delivery of AI-enabled products for enterprise functions. Identify and prioritize use cases, build business cases, manage roadmaps and backlogs, define requirements, and guide solutions from discovery through adoption. Partner with technical and business teams to assess data readiness, governance, privacy, security, risk, and model quality. Lead change management, training, communication, and performance measurement while connecting AI initiatives to ROI, efficiency, quality, and user adoption.

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, SQL, and Delta Lake. Supports SQL Server, SSIS, and SSRS environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, applies data warehousing practices, and partners with business users, analysts, and IT teams to deliver reporting, analytics, and AI/ML solutions.

Designs, develops, and maintains Databricks ETL pipelines, data lake architectures, datasets, and data integrations supporting reporting, analytics, and AI/ML workloads. Troubleshoots and optimizes Databricks and SSIS processes, maintains legacy systems, implements data quality controls, and supports data warehousing. Maintains SSRS reports and collaborates with business users, analysts, and IT teams to deliver reporting solutions. Documents work, communicates technical information, and contributes to AI-assisted development practices.

Modernize and evolve a large-scale React Native mobile app with offline-first architecture, BLE device integrations, local data storage and sync. Improve performance, reliability, and scalability, influence architecture, mentor developers, collaborate cross-functionally, and occasionally visit farms to understand user workflows.

Define and lead end-to-end cloud application and platform architecture, ensuring scalability, security, reliability, and cost efficiency. Partner with engineering, security, data, and product teams to design shared platform capabilities, data and integration patterns, governance, observability, and migration/modernization roadmaps. Provide technical leadership and mentor engineers and SREs.

Lead enterprise strategy execution and M&A integrations, establish governance and execution discipline, provide dotted-line program leadership, align senior stakeholders, and drive value realization and continuous improvement across a global, matrixed organization.

Support accurate, timely client billing by validating and importing billing data, reconciling inputs, processing deposits and cash application, resolving billing discrepancies, training field teams, and serving as primary client contact to improve billing accuracy and client satisfaction.

Lead cost and operational financial analysis across production and innovation: analyze COGS, inventory, margins, and cost drivers; perform variance analysis; improve costing processes; build financial models for CAPEX and make-versus-buy decisions; support budgeting, forecasting, reporting, and automation to enable data-driven decisions across finance, production, R&D, and product teams.