Sr. WW GTM Specialist, HPC Energy Workloads, Advanced Computing, WWSO HPC Team

Are you passionate about transforming how the Oil & Gas, and Energy industry leverages high-performance computing on AWS to solve its most complex exploration, production, and sustainability challenges? Do you have technical expertise in energy workflows—such as seismic processing, reservoir simulation, with the business acumen, go-to-market experience to drive cloud adoption at scale?

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Join the Advanced Computing team as a Business Development Specialist focused on HPC Energy Workloads. This role is at the forefront of helping energy companies modernize their computational geoscience, reservoir engineering, and production optimization workflows by migrating mission-critical HPC workloads to AWS.

Key job responsibilities
You will work with leading integrated oil companies and energy technology providers to optimize, and scale their most demanding compute-intensive workflows on AWS infrastructure. You will lead the WW go-to-market strategy for HPC Energy workloads, working directly with customers to understand their computational infrastructure needs, demonstrate the value of AWS cloud and help them transition from on-premises HPC to AWS. Internally, you will partner with AWS service teams (EC2, PCS Batch, FSx for Lustre, and others), marketing, professional services, partner teams, and sales leadership to influence roadmaps, ensure alignment, and execution. Your work will span from technical deep-dives to capacity planning with AWS teams, to presentations at industry conferences (e.g EAGE, Rice Oil & Gas, and others). You will be the bridge between the energy industry's most complex computational challenges and AWS's most advanced cloud infrastructure capabilities.

You are a leader for specialists, architects, partners, around the world, setting direction and standards for how AWS approaches energy HPC workload migrations. You bring the voice of the customer into our product development roadmap and help AWS and its customers navigate the transition from traditional on-premises HPC environments to cloud-native energy computing workflows.


About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS). We work backwards from our customers' most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include BD specialists and technical solutions architects, providing expertise to customers. Within WWSO, the HPC team is part of the Compute & Advanced Computing Specialist team that focuses on architectures and solutions to orchestrate and scale the most demanding compute-constrained customer workloads and use cases, with particular emphasis on energy workloads.

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BASIC QUALIFICATIONS

- Experience developing strategies that influence leadership decisions at the organizational level
- Bachelor's degree in a relevant field or equivalent work experience
- 5+ years of experience with High Performance Computing (HPC).
- Experience in Energy/ Oil & Gas industry and understanding of seismic processing, reservoir simulation, drilling optimization, and production workflows.
- 7+ years of Go-To-Market, Business Development, Sales, or Consulting experience in the Oil & Gas, Energy, or related industries

PREFERRED QUALIFICATIONS

- Experience solving problems with technology in the Energy & Utilities industries
- Master's degree in computer science, computer engineering, or related field, or Master's degree
- Experience with major energy industry software platforms from or working in the energy industry in business development, or customer facing roles.
- Knowledge of energy-specific infrastructure requirements including high-performance parallel file systems, large-scale data management, remote visualization, and data governance/sovereignty.

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