Title: Manager, Solution Engineering
Location: Celonis, Inc., 355 Bryant Street, Unit #108, San Francisco, CA 94107
Duties: Manage the pre-sales engineering team to provide support to account managers and sales stakeholders in promoting and selling Celonis products. Direct and navigate the pre-sales engineering team to the right company resources, such as development, product management, marketing, and partner management. Deliver proof of concept projects utilizing client’s data to show the business value of Celonis’ solution. Provide technical analysis and development of existing and proposed architectures and products for a variety of sales vertical markets. Create requirements definition, proposal development, demonstration support, and technical documentation in support of the sales proposal activities. Manage subordinate team members to deliver quality results, on time. Provide mentorship, coaching, and enablement to new hires.
Requirements: Must have a Bachelor’s degree or foreign equivalent in Industrial Engineering or a technical related field plus 2 years of experience in solutions engineering/consulting for a SaaS organization. Must have at least 2 years of experience with the following: Enterprise Software Pre Sales or Solutions consulting experience selling complex enterprise solutions to fortune 500 companies; implementing enterprise SaaS (Software as a Service) Solutions and ETL pipelines (Data Extraction, Transformation and Loading pipelines) at customers with complex IT landscapes; applying knowledge of data structures, models, and visualizations; facilitating executive meetings and workshops and building long-lasting relationships with key customer stakeholders; applying knowledge of business processes and ERP systems to help customers, account executives and solution engineers identify most relevant use cases applicable to customer’s IT landscape and industry; and building business cases based on data and simulations to support sales team with business cases built on customer data and process mining project outcomes. Domestic and international travel required approximately 30% of the time. Destination and frequency impossible to predict.