Qureos Mentor

Lila Sciences

<div>Your Impact at Lila

Lila Sciences is looking for a Vice President and Associate General Counsel, Product specializing in legal strategy for AI models, agentic products and autonomous labs. In this role, you will be the primary legal partner for product and engineering teams developing products and services enabled through the training, validating, and use of AI models, agents and autonomous labs. You will help ensure that our technology, platform and labs operate within legal and regulatory expectations while enabling Lila to move quickly and responsibly. This position supports work spanning model development, infrastructure, data governance, robotics, autonomous lab integration, and global compliance.

What You'll Be Building
<ul>
<li>Provide legal guidance on product decisions involving AI models, agents and complex data assets across their lifecycle, from concept to public or commercial use</li>
<li>Advise on data acquisition, rights management, licensing, use of open and synthetic data, and compliance with intellectual property and data protection laws</li>
<li>Establish risk governance practices that support safety reviews, misuse prevention, monitoring, and remedial action where needed</li>
<li>Lead cross functional reviews involving product, research, engineering, and operations to evaluate legal and compliance risks associated with major initiatives</li>
<li>Stay current on emerging legal standards, regulatory requirements, and best practices in AI, data privacy, export control, and related technical domains, and advise leadership accordingly</li>
<li>Support alignment of legal and compliance approaches for systems that integrate AI models and agents with autonomous lab workflows</li>
<li>Advise on legal and regulatory considerations for autonomous robotics systems operating in laboratory environments, including safety compliance and equipment standards</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Juris Doctor or equivalent legal degree and active membership in good standing with a bar</li>
<li>At least fifteen (15) years of legal experience that includes advising on technology or data driven products in law firm, corporate, or regulatory settings</li>
<li>Deep knowledge of global data protection laws such as GDPR, CCPA or CPRA, UK GDPR, and rules governing cross border data transfers</li>
<li>Proven ability to work directly with product, engineering, research, and operations teams in technical environments</li>
<li>Possess working knowledge of key legal frameworks relevant to AI products and governance</li>
<li>Demonstrated ability to balance legal and compliance considerations against product and business objectives while supporting innovation</li>
</ul>
Bonus Points For
<ul>
<li>Experience developing and implementing governance frameworks for AI systems and data assets</li>
<li>Familiarity with AI risk or safety standards and industry approaches to responsible AI deployment</li>
<li>Prior engagement with regulators, industry groups, or standards bodies on technology policy or regulatory interpretation</li>
<li>Exposure to regulated scientific domains, laboratory systems, or research infrastructure legal matters</li>
<li>Prior work at a company with significant robotic automation or autonomous systems</li>
<li>Experience building or scaling legal functions focused on product and regulatory compliance</li>
</ul>
About Lila

Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We're All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.</div>

Vice President and Associate General Counsel, Product

<div>
 
 Your Impact at Lila
 
 
 
 As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila&rsquo;s scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems.
 
 
 
 What You'll Be Building
 
 
 
 <ul>
 <li>
 Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis.
 </li>
 <li>
 Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems).
 </li>
 <li>
 Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data.
 </li>
 <li>
 Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability.
 </li>
 <li>
 Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 PhD or equivalent experience in Chemical Engineering, Industrial Engineering, Systems Engineering, or a closely related field.
 </li>
 <li>
 Research experience in method development for process engineering, a strong publication record in this area or established industry experience
 </li>
 <li>
 Hands-on experience with process simulation and optimization tools (commercial or open-source), including steady-state and dynamic modeling.
 </li>
 <li>
 Proficiency in Python and scientific/engineering computing ecosystems
 </li>
 <li>
 Experience integrating external engineering tools or simulators into automated workflows via APIs, scripting interfaces, or custom wrappers.
 </li>
 <li>
 Familiarity with distributed systems, HPC environments, cloud platforms, or scalable compute infrastructure.
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience developing or integrating agentic frameworks, autonomous planners, or multi-step tool-using AI systems for engineering or scientific domains.
 </li>
 <li>
 Experience building computational pipelines, automation systems, or tool-use frameworks for complex engineering or scientific workflows.
 </li>
 <li>
 Experience with digital twins, real-time optimization, or model-predictive control frameworks.
 </li>
 <li>
 Background in techno-economic analysis (TEA), life-cycle assessment (LCA), or sustainability-driven process design.
 </li>
 <li>
 Contributions to open-source engineering software, ML infrastructure, workflow engines, or agent frameworks.
 
 
 </li>
 </ul>
 
 About Lila
 
 
 
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 
 
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 
 
 
 We&rsquo;re All In
 
 
 
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 
 
 
 A Note to Agencies
 
 
 
 
 Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 
 
 
 CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 
 
 Expected Base Salary Range: $176,000 USD - $304,000 USD
</div>

Research Scientist I/II, AI for Process Engineering

<div>
 
 Your Impact at Lila
 
 
 
 Overview Lila Sciences is rapidly growing. We&rsquo;re seeking a Head of Supply Chain &amp; Strategic Sourcing to design and scale the supply chain and strategic sourcing function to support our scientific platform. You&rsquo;ll own sourcing, procurement, vendor management, inventory, and payments, with responsibility for hundreds of millions in annual spend across scientific equipment, lab operations, consumables, and technology infrastructure. This role sits at the intersection of science, engineering, and finance, ensuring material availability, supplier performance, cost optimization, and operational resilience in a fast-moving environment.
 
 
 
 What You'll Be Building
 
 
 
 <ul>
 <li>
 Design and scale the end-to-end Procure-to-Pay (P2P) process: sourcing strategy, purchasing channels, vendor governance, and payment operations.
 </li>
 <li>
 Lead strategic sourcing: supplier selection, contract negotiations, and ongoing vendor management.
 </li>
 <li>
 Build scalable supply chain infrastructure to support complex labs, capital equipment programs, specialized materials, and evolving R&amp;D needs.
 </li>
 <li>
 Implement and optimize ERP/P2P systems, automation, and operations (procurement tools, AP workflows, controls).
 </li>
 <li>
 Create KPIs and dashboards to drive cost savings, supplier performance, and working capital optimization.
 </li>
 <li>
 Establish governance, policies, internal controls, and scalable systems for compliance and audit readiness.
 </li>
 <li>
 Centralize procurement operations to align purchasing, payments, leasing, and working capital management.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 10+ years of progressive leadership in procurement, supply chain, or P2P operations.
 </li>
 <li>
 Experience building or transforming supply chain/P2P in a high-growth setting.
 </li>
 <li>
 Experience in biotech, life sciences, AI, advanced materials, or hardware-enabled environments.
 </li>
 <li>
 Deep knowledge of ERP and procurement systems (examples: NetSuite, Coupa, Ariba, Ramp; familiarity with Prendo if applicable).
 </li>
 <li>
 Proven success negotiating complex supplier agreements and driving cost optimization.
 </li>
 <li>
 Experience leading cross-functional teams through rapid growth in spend and headcount.
 </li>
 <li>
 Experience implementing modern procurement or ERP systems to replace legacy infrastructure.
 </li>
 <li>
 Experience overseeing leasing and equipment financing aligned with capital strategy.
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Familiarity with public-company readiness, SOX compliance, and audit environments.
 </li>
 <li>
 Experience developing equipment leasing and financing strategies to optimize capital deployment and cash flow.
 </li>
 <li>
 Relevant certifications (e.g., MBA, CPIM, CPSM) or equivalent experience.
 
 
 </li>
 </ul>
 
 About Lila
 
 
 
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 
 
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 
 
 
 We&rsquo;re All In
 
 
 
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 
 
 
 A Note to Agencies
 
 
 
 
 Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 
 
 
 CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 
 
 Expected Base Salary Range: $204,000 USD - $272,000 USD
</div>

Head of Supply Chain & Strategic Sourcing

Join Lila Sciences and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Lila Sciences

About Company

Vice President and Associate General Counsel, Product

Research Scientist I/II, AI for Process Engineering

Head of Supply Chain & Strategic Sourcing