Top Tech Jobs & Startup Jobs in Kansas City, MO

The Senior Product Manager will oversee customer communication and execute product strategies, collaborating with various teams to enhance customer experience.

As an Enterprise Sales Engineer, you'll provide technical guidance throughout the sales cycle, deliver demos, create proposals, and troubleshoot issues, partnering with sales teams to ensure customer satisfaction.

The Head of Art oversees global Art Services, ensuring commercial success, operational execution, and strategy alignment while managing delivery teams and client relationships.

As a Product Engineer, you'll lead feature development from concept to launch, define product requirements, manage timelines, and mentor junior engineers. You will ensure the success of features through user feedback and technical architecture.

The Web Marketing Manager will lead the strategy, development, and optimization of the Mediafly website to enhance engagement and conversions, collaborating with teams to improve user experience and website analytics.

Formic seeks passionate individuals for a rapidly growing startup in automation and robotics, focusing on manufacturing efficiency. Candidates should align with the company's mission and values.

The Sales Executive will manage the EMEA territory sales plan, consult with customers on molecular biology technology solutions, develop business strategies, and ensure customer satisfaction while maintaining a strong focus on sales performance.

The Director of Sales Excellence will design and scale a high-performance sales organization at Semios Group, develop consistent sales frameworks, manage training programs, and support revenue growth through effective processes and collaboration across departments.

Lead Analytics Engineer responsible for end-to-end data solution design, evolving data architecture, mentoring engineers, driving data health and observability, enabling cross-functional measurement, and contributing to roadmap and decision-making.

The Senior Platform/MLOps Engineer will design and implement scalable AI/ML infrastructure, manage deployment pipelines, and optimize GPU workloads in Kubernetes to support manufacturing operations.