Deployment Strategist

PhysicsX is hiring a Deployment Strategist in New York, United States. It pays $90k-$130k a year and Level rates it ; you can apply on PhysicsX.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
PhysicsX mentions visa sponsorship in this posting.
Tools and skills the posting cites include customer facing, AI ml lifecycle and technical consulting.
Level lists 38 other open roles at PhysicsX.
The role was posted in the last few days.

AI in this role

Serve as a technical guide and strategic account manager transforming physics AI solutions into lasting customer partnerships.

customer-facingai-ml-lifecycletechnical-consultingengineering-simulation

About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Who we are looking for

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.

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 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

What we offer

Equity options – share in our success and growth.
5% 401(k) contribution – invest in your future.
Flexible working – balance your work and life in a way that works for you.
Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
Enhanced parental leave – support for life’s biggest milestones.
Private healthcare – comprehensive coverage for you and your family.
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 believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply. Salary Range $90,000 - 130,000 depending on experience
Seniority will be assessed throughout our interview process. 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. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

How we rate this

Deployment Strategist at PhysicsX rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Deployment Strategist is an open job at PhysicsX.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $90k-$130k a year.
The role is based in New York, United States.
The job was posted on November 3, 2026.
Seniority: mid.
Applications are handled by PhysicsX. Apply on PhysicsX

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Customer FacingAI ML LifecycleTechnical ConsultingEngineering Simulation

Questions you could be asked

Tell me about a project where customer facing was part of your work. What did you do?
Tell me about a project where ai ml lifecycle was part of your work. What did you do?
Tell me about a project where technical consulting was part of your work. What did you do?
Tell me about a project where engineering simulation was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Customer Facing, AI ML Lifecycle, Technical Consulting, and Engineering Simulation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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