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Code Metal

Optimizes research code for edge deployment

Deployment Strategist - Socom/Centcom

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTampa, FL, USA

About the Job

Requirements

  • Have operated in and be deeply respected by relevant communities.
  • Have a deep understanding of customers based on firsthand experience.
  • Have strong relationships across relevant U.S. Government organizations.
  • Have an active U.S. security clearance.

Responsibilities

  • Go onsite and meet with end users to understand the critical questions they need to answer and identify their biggest pain points.
  • Identify relevant features through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate features in a stable and extensible way.
  • Embed with Engineering and Product teams to incorporate field observations into Code Metal product offerings.
  • Work with customers to build bespoke workflows for new user groups.
  • Lead training sessions to ensure the product meets user needs and is used widely enough to have concrete impact on partners' operations.
  • Become a trusted customer teammate, drive adoption, and keep customers satisfied.
  • Build and deliver demos to new and existing customers.
  • Scope potential engagements with new customer groups, new advocates, growth opportunities, and potential fallout funds.

Desired Qualifications

  • Experience in a Department of War component command or joint logistics/operations role.
  • Experience in defense policy, acquisition, or program management within the Department of War or other government agencies.
  • Experience delivering growth outcomes for defense products, particularly in early-stage or dual-use technology environments.

About the Company

Code Metal

Optimizes research code for edge deployment

CodeMetal.ai provides a SaaS platform that turns research code into optimized, edge-ready low-level code. It serves academia, defense, and tech sectors in AI and machine learning. Users upload code written in Python, Julia, or MATLAB, pick target deployment chipsets, and the platform automatically optimizes the code and adapts it to chosen runtimes, iteratively improving performance. This approach differentiates CodeMetal.ai by offering multi-language support, chipset-aware optimization, and runtime adaptation within a cloud-based service, enabling users to deploy efficient code on edge devices without manual low-level tuning. The company's goal is to help clients run more efficient AI/ML workloads on edge hardware by converting high-level research code into fast, platform-optimized implementations via subscriptions and usage-based pricing.

Company size
51-200
Company stage
Series B
Total funding
$177.7M
Headquarters
Boston, MA
Founded
2023

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