Deliver game-changing modern applications with Unisys
240+ employees
Cloud ComputingData AnalysisSaaSEnterprise
Role
Who you are
What the job involves
Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations working at all levels in the organization with Data Scientists AI/ML practitioners Architects Technologists Product owners Transformation leaders & C-level executives
Serve as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy operating model & architectural best practices problem framing data preparation scripting model building model deployment model management and output consumption
Lead the development of product demos prototypes and proof-of-concepts to demonstrate the feasibility and potential impact of Centific’s AI solutions for clients
Oversee the deployment and integration of AI solutions into client environments ensuring seamless integration with existing systems and processes This includes owning the hand-off to Centific’s Delivery and Engineering team’s post-sale
Provide guidance to GTM Product and Engineering leaders on strategy product obstacles/gaps and associated resourcing requirements to achieve optimization
Partner closely with Sales to a) achieve target quotas and b) to ensure alignment between commercial and technical parameters for a given engagement
Build and manage a solution engineering playbook including demo materials and associated assets to support the GTM team
Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space and how to position Centific in relation to them Collaborate with Product Management Engineering and Marketing to continuously improve Centific’s products and marketing
CompuGain, now part of Unisys, focuses on delivering agile cloud migration, application modernization, and maximizing data value for clients. Their mission is to enhance client experiences through innovative technology solutions that drive efficiency and effectiveness in a rapidly changing digital landscape.