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PhysicsX

Physics AI platform for industrial engineering

Principal Deployment Strategist

Implementation & Technical Account ManagementUpdated on Nov 10
Full-time

About the Job

Requirements

  • At least 8 years of industry experience in a commercial, customer-facing environment.
  • Ability to understand advanced engineering concepts across multiple industries and work directly with customers to understand their challenges, ambitions, and evolving needs.
  • Ability to learn the core technology stack, cloud and software deployment, and product features.
  • Ability to take ownership of the complete customer journey, from onboarding and change management to roadmap planning and contract preparation.
  • Ability to manage sprint planning, align deliverables, and support smooth project delivery.

Responsibilities

  • Build and maintain relationships with users and decision-makers at customers.
  • Understand customer industry challenges and translate them into product opportunities and roadmap alignment.
  • Own customer onboarding into the platform, working in delivery teams to ensure useful solutions are built and adopted.
  • Support customer delivery teams through planning and product coordination, ensuring the right solutions are built and their value is measured and articulated.
  • Identify additional customer needs, users, and stakeholders; prepare proposals, including commercials; and support the contracting process with account owners.
  • Track customer engagement and gather customer feedback to assess product usage and value.

Desired Qualifications

  • Experience in industrial or advanced manufacturing sectors, such as automotive, semiconductors, or materials.

About the Company

PhysicsX

Physics AI platform for industrial engineering

PhysicsX uses physics-based artificial intelligence for industrial engineering, combining machine learning with physics simulations to shorten design and operation cycles for aerospace, energy, and automotive sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, helping teams test ideas faster while reducing emissions and costs. It differs from competitors by delivering physics-driven AI with fast, scalable simulations tailored to large, complex industrial systems, supported by a slate of major investors and industrial partners. The company aims to speed up product development and drive broad adoption of physics AI across industrial sectors.

Company size
201-500
Company stage
Series C
Total funding
$487M
Headquarters
London, United Kingdom
Founded
2019

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