About us

Who we are looking for

As a customer-facing Delivery Engineer, 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 at least 3-5 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.

Responsibilities

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 decision-makers at our customers
• Understand customer industry challenges and translate them into product opportunities and roadmap alignment
• Own the customer onboarding journey into our platform, working in delivery teams to ensure we build things that are useful and get used
• Support the running of customer delivery teams, getting involved in planning and product coordination, ensuring the right thing gets built and its value is measured and articulated
• Find the next useful thing to build for a customer, growing accounts with the help of account owners by identifying problems, users and stakeholders, and preparing proposals (including commercials) and supporting contracting process
• Track customer engagement and sit side-by-side with customers to collect signal and feedback, making sure the things we build are getting used and creating value

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

• Equity options – share in our success and growth.
• 10% employer pension contribution – invest in your future.
• Free office lunches – great food to fuel your workdays.
• Flexible working – balance your work and life in a way that works for you.
• Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.
• Enhanced parental leave – support for life’s biggest milestones.
• Private healthcare – comprehensive coverage
• Personal development – access learning and training to help you grow.
• Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.