Top Tech Jobs & Startup Jobs

Leads URUS beef sales strategy, execution, market expansion, and value-chain development across North America and international markets. Oversees sales teams, budgets, training, performance metrics, strategic accounts, Beef × Beef and Beef × Dairy programs, Leachman product growth, and global partnerships. Builds commercial opportunities across the beef value chain and contributes to broader senior leadership strategy.

Leads strategy, roadmap, governance, configuration, integrations, data management, releases, and adoption for Oracle HCM Cloud and connected People applications. Partners with HR, Finance, Digital, Security, Compliance, Payroll, and regional stakeholders to prioritize enhancements, improve automation, maintain data quality, support workforce planning, and ensure scalable global platform operations. Oversees UAT, change management, documentation, compliance, and team collaboration while applying AI-driven opportunities to improve employee and manager experiences.

Leads end-to-end architecture for cloud-hosted applications and platforms, including shared platform capabilities, security, governance, cost optimization, data and integration architecture, modernization, observability, and resilience. Partners with engineering, security, product, data, and enterprise architecture teams; reviews designs, establishes standards, guides migrations, evaluates cloud technologies, and mentors engineers and SREs. Requires deep AWS or Azure expertise, cloud-native distributed systems experience, Infrastructure as Code, CI/CD, security, data platforms, and integration architecture knowledge.

Manage agricultural sales across Kansas and Missouri, serving beef and dairy producers. Build and retain customer relationships, identify new business, execute account plans, promote reproductive and genetic services, maintain CRM records, conduct customer reviews, and deliver educational presentations. The role requires extensive field travel and collaboration with client service, operations, marketing, sales, and technical teams.

Leads accounts receivable, credit, and working capital management. Owns DSO, aging, cash flow, collections, credit policies, risk controls, and AR process optimization. Manages and develops the AR/Credit team, drives automation and ERP enhancements, partners cross-functionally with Finance, Sales, Operations, and Customer Service, and reports performance and risks to executive leadership.

Develop and modernize a production React Native mobile application supporting offline-first workflows, BLE device integrations, synchronization, scalability, performance, and reliability. Design and maintain application features, contribute to architecture and engineering standards, collaborate cross-functionally, mentor developers, provide technical leadership, and engage with farm customers. Occasional travel to customer locations is required.

The AI Product Manager identifies and prioritizes AI opportunities across enterprise functions, develops business cases and product requirements, and manages roadmaps from discovery through production and adoption. The role assesses data readiness, governance, privacy, security, model quality, and risk while partnering with technical and business teams. Responsibilities also include change management, stakeholder communication, training, performance measurement, and demonstrating outcomes such as efficiency, cost savings, quality, user adoption, and ROI.

Designs, builds, and maintains scalable batch and streaming data pipelines 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 warehousing best practices, and partners with business and IT teams to deliver reporting, analytics, and AI/ML data solutions.

Build and lead URUS’s enterprise AI capability, including strategy, roadmap, governance, operating model, and multidisciplinary team development. Identify and prioritize AI opportunities, guide solutions from discovery through production and adoption, and provide technical direction across generative AI, agentic AI, predictive analytics, computer vision, and automation. The role also oversees platform and vendor decisions, responsible AI controls, investment prioritization, value tracking, organizational education, and change leadership.