Deployment Strategist

As a customer-facing Deployment Strategist (internally we call these Delivery Engineers), you are a relationship builder and technical guide who is passionate about growing strategic accounts by transforming AI solutions into lasting customer partnerships. Due to the deep technical nature of the environment we work in, you are someone who can understand advanced engineering concepts across multiple industries and excel at working directly with customers to understand their challenges, ambitions, and evolving needs while serving as their primary point of contact.

We welcome diverse technical backgrounds that bring valuable perspectives to our product. You may come from a Data Science/Machine Learning background with deep understanding of the end-to-end AI/ML product lifecycle, enabling you to explain complex technical concepts to stakeholders and identify new areas of application. Alternatively, you may have an engineering profile bringing domain-specific engineering understanding that helps connect our solutions to real industry challenges. In either case, you bring a unique perspective and you help customers bridge the gap between advanced AI capabilities and practical engineering applications. Note that your current role might not leverage your technical background - for example you might have left the field of engineering but are interesting in returning! You are a keen learner who will become up-to-speed with our core technology stack, cloud/software deployment, and product features, allowing you to support customers with guiding activities and technical requests.

With 4+ years industry experience in a commercial, customer-facing environment, you're ready to take ownership of the complete customer journey, from onboarding and change management to roadmap planning and contract preparation. You excel at strategic planning, time management, and problem-solving, with natural organizational skills that enable you to manage sprint planning, deliverables alignment, and smooth project delivery. Experience in industrial or advanced manufacturing sectors—such as automotive, semiconductors, or materials—is preferred.

In this role, you’ll work closely with both customers and our Simulation Engineers, Software Engineers, Machine Learning Engineers and Data Scientists to understand and define the engineering and physics challenges we are build solutions for. You will:

• Build and maintain relationships with users and senior decision-makers at our customers
• Run the account operating rhythm: executive reviews, account reporting, and tracking of delivery progress and value
• Own the customer onboarding journey and drive change management, making sure what we build gets adopted and creates measurable value
• Track adoption and engagement, working side-by-side with customers to collect signal and feedback
• Support the running of customer delivery teams, including onboarding of embedded team members, team health surveys, and customer satisfaction (NPS)
• Build AI-enabled tooling to make account operations faster and more scalable
• Support new business development on the account and in adjacent semiconductor opportunities, including identifying problems and stakeholders, preparing proposals, and supporting contracting
• Translate customer industry challenges into product feedback for the product team

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world