NotionPlans what the customer deploys first
Forward Deployed Architect
San Francisco, CA · New York, NYSan Francisco, CA +1Hybrid
$165,000–$205,000 · OTE
Updated
$150,000–$250,000New York, NYHybrid
Customer-facing Deployment Strategist responsible for translating advanced AI and engineering capabilities into deployed customer solutions and lasting strategic partnerships.
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$150K–$250KAbove the median
Median $188K
This job$150K–$250KTypical senior FDE payMiddle 50% of 1,748 postings$160K–$220KPlans what the customer deploys first
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Posted by PhysicsX on
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.
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 8+ 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:
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
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
$150,000 - 250,000 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.
AI-native simulation software stack that replaces slow numerical physics with deep-learning surrogates for design, manufacturing, and operations in aerospace, automotive, semiconductors, energy, and materials.
Series B · 100–200 people
NotionPlans what the customer deploys first
San Francisco, CA · New York, NYSan Francisco, CA +1Hybrid
$165,000–$205,000 · OTE
AccordionPlans what the customer deploys first
Atlanta, GA · Boston, MA · +6 moreAtlanta, GA +7On-site
$145,000–$240,000
EliseAIPlans what the customer deploys first
New York, NYOn-site
$160,000–$200,000
Tessera LabsPlans what the customer deploys first
New York, NY · San Francisco, CANew York, NY +1Hybrid
$150,000–$210,000
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