Customer Success Engineer - Remote in the US

Stack

Responsibilities

• ▹Become a trusted technical advisor and own the technical relationship with customers
• ▹Lead technical activities from deployment to training and support
• ▹Collaborate with the Solutions Architect to plan and execute successful deployments
• ▹Analyze technical needs, requirements and the customer's current infrastructure and workflows
• ▹Onboard new customer workflows and grow Rescale's footprint
• ▹Gain deep knowledge of customer workflows and HPC environments
• ▹Help customers execute their digital transformation strategy, migrating workloads from on-prem to cloud
• ▹Present Rescale solutions at conferences, user groups and webinars
• ▹Collaborate with Product Management and provide feedback to improve the ScaleX platform

Requirements

• ▹Customer obsession and empathy-driven approach to solutions
• ▹At least 2 years of software, hardware or cloud experience in a customer-facing role
• ▹B.S. in engineering, computer science, math, physics or equivalent
• ▹Must be a U.S. Person

Nice to have

• ▹3 years of enterprise cloud, hardware or software technical experience
• ▹General knowledge of HPC disciplines (CFD, FEA, Molecular Dynamics, Weather Forecasting, Computational Chemistry, Seismic Simulation, Media Rendering, Machine Learning, Financial, etc.)
• ▹Experience with enterprise customers in verticals such as aerospace, automotive, life sciences, oil & gas, semiconductor, EDA, federal sector
• ▹Experience with HPC simulation software (ANSYS, Siemens, Dassault Systèmes, COMSOL, AVL, Altair, PTC, Cadence, Synopsys, Autodesk, OpenFOAM, LAMMPS, GROMACS, NAMD, etc.)
• ▹Strong presentation skills for technical topics
• ▹M.S. in engineering, computer science or equivalent
• ▹Ability to manage multiple complex projects across diverse teams and locations
• ▹Understanding of HPC, scheduler, IaaS and scripting languages

Soft skills

About the company

Rescale is the leader in digital engineering, transforming how products are developed through intelligent automation, applied AI, data management and the world's largest network of engineering and R&D applications, serving industries such as aerospace, energy, life sciences and manufacturing.