Your Impact at LILA
Lila is seeking an AISF Operational Systems Coordinator to help operationalize the lifecycle systems, deployment workflows, engineering standards, and operational infrastructure required to scale AI Science Factories (AISFs).
This role supports the AISF engineering systems infrastructure (PLM, QMS, and more) deployment program ("Blueprint"), and partners cross-functionally with Engineering, Robotics, Software, Research Operations, Facilities, EHS, and IT/OT teams to help establish scalable operational foundations for globally deployable AISF platforms.
The focus of this role is not traditional quality administration or heavy compliance management. Instead, this position helps ensure operational standards, lifecycle systems, deployment records, engineering baselines, and platform workflows are lightweight, usable, organized, and consistently adopted by technical and operational teams.
This is a highly execution-oriented role ideal for someone who enjoys bringing operational structure and lifecycle coherence to fast-moving interdisciplinary engineering and operations environments.
What You'll Be Building
Lifecycle Systems & Operational Infrastructure
- Support rollout and day-to-day administration of operational lifecycle systems including Arena PLM and associated engineering repositories.
- Help maintain release structures, revision workflows, part numbering systems, deployment baselines, and operational records.
- Support configuration visibility and operational lineage tracking across AISF platforms and deployments.
- Assist with maintaining operational templates, standards repositories, onboarding resources, and lifecycle reference materials.
Deployment & Commissioning Support
- Coordinate lightweight operational workflows supporting deployment readiness, FAT/SAT activities, commissioning records, and release tracking.
- Help maintain deployment readiness checklists, commissioning evidence, operational handoff records, and platform release artifacts.
- Support operational consistency across engineering, robotics, software, and research operations deployment activities.
- Assist with organizing operational evidence and deployment records in a consistent and reviewable manner.
Blueprint (Systems Infrastructure) Program Operationalization
- Support execution of operational work streams and cross-functional coordination activities.
- Help maintain milestones, trackers, action items, and operational follow-through.
- Coordinate with engineering, robotics, software, operations, and facilities stakeholders to help workflows remain practical and lightweight.
- Assist with onboarding and rollout of operational templates, lifecycle practices, and deployment support structures.
Operational Documentation & Knowledge Systems
- Maintain controlled operational standards and lifecycle documentation repositories.
- Support standardization of templates for commissioning, deployment readiness, operational records, engineering changes, and lifecycle workflows.
- Help ensure operational documentation reflects current engineering and deployment realities.
- Improve discoverability and usability of operational knowledge systems.
Lifecycle Visibility & Asset Coordination
- Support operational asset tracking and lifecycle coordination activities across deployed AISF systems and engineering platforms.
- Help organize commissioning records, deployment baselines, operational lineage, maintenance records, and sustaining support artifacts.
- Assist with maintaining lightweight operational reporting structures where applicable.
What You'll Need to Succeed
- 3–7 years supporting engineering operations, operational systems, technical programs, lifecycle systems, manufacturing operations, or interdisciplinary infrastructure environments.
- Experience working cross-functionally with engineering, operations, automation, robotics, facilities, or technical deployment teams.
- Familiarity with lifecycle management concepts such as PLM, release management, commissioning, deployment workflows, operational baselining, or configuration tracking.
- Experience working with tools such as Arena PLM, Jira, Notion, Confluence, CAD/PDM systems, or similar operational tooling.
- Strong organizational and coordination skills with the ability to drive operational follow-through across multiple teams.
- Comfortable operating in rapidly evolving environments with incomplete systems and emerging operational structure.
- Strong written communication and documentation skills.
Bonus Points For
- Experience supporting robotics, automation, advanced manufacturing, hardware infrastructure, or technical operations environments.
- Familiarity with commissioning, FAT/SAT, sustaining engineering, deployment readiness, or operational support workflows.
- Exposure to operational governance, engineering standards, or lightweight quality systems in technical organizations.
- Experience building templates, operational workflows, onboarding structures, or lifecycle coordination systems.
Skills & Behaviors
- Systems-minded and operationally organized.
- Practical and lightweight in approach.
- Strong bias toward usability over bureaucracy.
- Comfortable coordinating across multiple technical disciplines.
- Able to improve operational structure without slowing innovation velocity.
- Strong follow-through and execution discipline.
- Calm operating in ambiguity and evolving organizational systems.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$88,000—$126,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, 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.