Join CuspAI as an AI Labs Ecosystem Manager to build a global lab network for materials discovery.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 6 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.
Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.
Benefits
Joblaze summary
The AI Labs Ecosystem Manager at CuspAI focuses on expanding the global lab network to enhance the synthesis of new materials using the Cusp Platform. This role requires hands-on experience in materials science or experimental chemistry, along with a strong automation mindset to optimize lab workflows. It is well-suited for candidates with a background in laboratory operations and a network in the materials or semiconductor industries. The position involves collaboration across various teams to drive innovation and efficiency in materials discovery.
Joblaze insights
Quick facts
From the original posting
Due to rapid global growth, we are seeking an AI Labs Ecosystem Manager to grow our Labs Ecosystem and provide scientific-level expertise and technical guidance to uplevel the lab network in terms of bandwidth, capabilities, and autonomous workflows in a variety of materials disciplines.
In this role you will be building our global AI Lab network to synthesise new materials developed with the Cusp Platform. You will work with the Lab Integration team to deliver technical enablement in the partner labs to accelerate a full loop AI discovery process with self-driving labs.
Your main focus initially will be partnering closely with our Materials Foundry Ecosystem Partnership Manager and our Lab Integration team to identify and connect labs with our platform to drive closed loop discovery.
Ecosystem Cultivation & Community Activation
Design, coordinate, and host a comprehensive global lab engagement strategy including AI Materials Foundry lab members to support our Materials Discovery Programs.
Build scalable lab partner collaboration frameworks to accelerate laboratory campaigns and achieve data-driven materials breakthroughs.
Contribute to market intelligence by identifying and assessing potential new laboratory partners.
Champion an automation mindset within our partnerships, driving the efficient integration of experimental workflows with our informatics layer.
Cross-Cultural Operations & Project Management
Manage engagement with global lab stakeholders and our Lab integration team to turn on more automated lab partners.
Act as the lab operational bridge for our partnerships team, enterprise clients, and elite research institutions across Europe, the USA, and APAC.
Coordinate cross-functional timelines between partnership teams, lab integration teams, and scientists.
Interdisciplinary Collaboration
Partner closely with our Director of Strategy & Operations, Lab Integration teams, and our AI Materials Foundry team to align ecosystem activities with our overarching roadmap.
Collaborate with our internal Science teams to Identify missing experimental lab capabilities required to deliver on state-of-the-art (SOTA) materials discovery campaigns.
Collaborate with our AI Research, Computational Chemistry, and Product teams to channel lab partner feedback directly into the development priorities of our agentic platform and lab connection platform.
Provide support to our Lab Integration team in establishing data connections and data workflows with partner labs as needed.
Hands-on experimental lab experience in a relevant technology areas such as Materials Science, Experimental Chemistry, or Semiconductor Foundries.
Existing network or knowledge of potential new lab partners in the materials science/chemical industry or semiconductor industry, and academia.
Demonstrable automation mindset and experience optimizing or building interfaces for laboratory workflows and processes.
Proven ability to develop experimental campaigns based on defined objectives and data feedback in your area of expertise.
Exceptional ability to communicate complex technical concepts effectively to both deeply scientific/technical audiences (AI researchers) and hands-on experimental teams (Chemists).
Experience with high-throughput experiments (HTE), robotics, and commercial laboratory automation systems.
Professional-level coding skills, e.g. Python, to automate data translation between disparate laboratory and informatics systems, and to configure APIs for communication between laboratory and CuspAI’s systems.
This role could be based in our London or Berlin offices or our U.S. Bay Area office, but we could consider our other global office locations for the right candidate. There would be an expectation around you being in the office three days per week depending on which projects you’re working on at the time. Additionally, there may be regular travel required to partner sites and/or other locations for collaboration and project work.
A competitive salary: We value and reward impact and growth
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