Join CuspAI as a Scientific Developer Relations Manager to drive AI platform adoption in materials science.
Posted by employer 2 days ago
First seen on Joblaze 20 hours ago
Last verified on the company career page 20 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
We are harnessing AI to unlock trillion-dollar materials breakthroughs.
Requirements
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
The Scientific Developer Relations Manager at CuspAI focuses on building technical frameworks and providing scientific guidance to enhance the adoption of the company's AI platform among partners. This role requires expertise in materials science, computational chemistry, and experience with Python-based tools, making it suitable for candidates with a strong academic or professional background in these fields. The position is ideal for someone with a proven track record in developer relations or technical partner engineering, particularly within high-growth or advanced materials environments.
Joblaze insights
Quick facts
From the original posting
Due to rapid global growth we are seeking a Scientific Developer Relations Manager to provide deep, scientific-level expertise and technical guidance to our expanding ecosystem of partners.
In this role you will be building the technical enablement and scientific advisory framework that accelerates the adoption of our AI platform across enterprise and research partners, which is critical for delivering next-generation semiconductor and advanced materials to market.
Your main focus initially will be partnering closely with our Foundry Partnerships Manager to deeply engage our technology and industry partners, translating complex materials science requirements into actionable platform solutions.
Scientific Advisory & Partner Engagement
Act as the primary technical and scientific point of contact for technical leaders, computational chemists, and materials scientists within our partner organizations.
Provide expert, scientific-level advice and recommendations on how to leverage CuspAI's platform to solve complex materials challenges (e.g. semiconductor performance, carbon capture efficiency, or energy storage).
Lead deep-dive technical workshops, code-alongs, and scientific demonstrations that showcase the platform's capabilities to expert external audiences.
Technical Enablement & Content Creation
Build scalable developer resources, including highly technical documentation, sample notebooks, APIs, and reference guides tailored to advanced materials science workflows.
Bridge the gap between high-level community events managed by the Partnerships team and the hands-on technical support required to make partner Discovery Sprints successful.
Cross-Functional Feedback Loop
Collaborate closely with AI Research, Computational Chemistry, and Product teams to channel technical partner feedback directly into the development priorities of our agentic platform.
Partner with Marketing and PR functions to co-author deep-tech case studies, whitepapers, and technical blog posts highlighting novel materials breakthroughs achieved via the platform.
You have a genuine, explicit interest in how frontier AI can revolutionize materials science and a passion for bringing sustainable, impactful technologies to humanity.
You possess a strong academic background or equivalent professional experience in Materials Science, Chemistry, Physics, or Electrical Engineering, allowing you to converse fluently at a peer-level with world-class scientists.
You have hands-on experience with computational chemistry tools, molecular simulation software, or Python-based data science workflows (e.g. PyTorch, ASE, RDKit).
You have a proven track record in developer relations, technical partner engineering, or application science, ideally within a high-growth startup, deep-tech environment, or advanced materials company.
You are a confident, charismatic technical communicator who excels at translating abstract scientific concepts and complex AI platform workflows into clear, actionable advice for a technical audience.
Experience managing joint developer or research ecosystem programs alongside major hardware tech giants.
Direct professional background working within a semiconductor foundry, design firm, or electronics materials supplier.
Fluency in a second language relevant to our global hubs (e.g. Japanese, Korean, German).
Understanding of crystallography, materials properties, and advanced machine learning models for property prediction.
Expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work.
A competitive salary: We value and reward impact and growth
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