Katana Graph is an enterprise graph computing system and storage engine. Our technology is the world’s fastest graph processing engine, providing compelling scalability and programmability advantages.
Building on decades of experience in developing state-of-the-art distributed systems, Katana Graph is bringing together experts in hardware acceleration, cloud computing, storage systems, and high-performance computing to help create the platform of the future for data processing and analysis in this new world of specialized hardware and revitalized algorithms.
Katana Graph recently completed a $28.5 million Series A financing round led by Intel Capital with participation from existing and new investors including WRVI Capital, Nepenthe Capital, Dell Technologies Capital, and Redline Capital.
As a Senior Sales Engineer, you will work closely with our clients and prospects to understand the business objectives and map out a technical solution that solves the business needs. You will be responsible developing and delivering presentations and articulating the value of the Katana Graph Solution in client meetings, conferences and other industry events. You will work closely with client business leaders and technical staff including data engineers and data scientists in proof of concept engagements to implement a Katana Graph solution to meet their technical and business needs and present results.
Lead technical discovery meetings to understand requirements
Present Katana Graph Solutions to clients
Develop relevant Industry Use Cases and demos
Lead Pilots and Proof of Concept projects to implement Katana Graph
Develop custom ETL and integrations for customer infrastructure and data pipelines
Develop features to improve the effectiveness of the product for data engineers and data scientists
Perform Benchmarking of query and analytics performance
5+ years of related experience
Heavy data analytics background and ETL experience
Graph experience a plus but not required
Experience with C++, Python, Linux, shell and cloud
Experience with containers and resource managers (e.g., Docker, Kubernetes, YARN)