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Director, Lab Operations & Maintenance Management

Lila Sciences · Cambridge, MA USA

onsitefull-timemid level

About this role

Your Impact at LILA

Lila is building AI Science Factories (AISFs) — highly automated, AI-directed labs that generate the proprietary experimental data powering our AI platform. As we scale from one AISF to many, the operational infrastructure that keeps those factories running is a first-class strategic capability.

The Director of Lab Operations & Maintenance Management (LOMM) owns the physical and logistical foundation of Lila's science operations: consumables and reagent supply chains, equipment asset management, CMMS management, waste coordination, space readiness, preventative maintenance (PM), first response equipment/instrument demand maintenance, and multi-shift logistics continuity.

This role will build out and manage Lila's Maintenance Management (MM) function from the ground up — hiring the initial team, developing best practices, and establishing the operational handoff as we mature and scale.

But this role is as much about building these systems as running them — you'll define the LOMM operating model, lead its expansion to new sites, drive AI-enabled innovation in how we manage lab resources, and author the standards that travel with every AISF we open.

You'll operate as a recognized authority on lab operations within Lila, partnering directly with VPs and senior leaders across Autonomous Science Platform (ASP), Finance, EHS, and Facilities. You'll be a principal contributor to the Blueprint program — the global deployment framework that defines how Lila builds and runs AI Science Factories at scale.

What You'll Be Building

Lab Operations Strategy & Operating Model

  • Define and own the LOMM operating model across Lila sites — from single-shift pilot to multi-site, continuous operations
  • Establish the systems, org structure, staffing model, and governance framework that enable LOMM to scale reliably
  • Set and track operational KPIs (inventory accuracy, stockout rate, PM scheduling compliance, asset data integrity, ticket resolution time); use data to drive structured improvement cycles and report trends to ASP leadership

Consumables, Reagents & Supply Chain

  • Own end-to-end supply chain continuity for all lab consumables, reagents, and PPE across all shifts and sites
  • Design and govern the par-level inventory system, reorder triggers, cold storage management, and expiry tracking infrastructure
  • Lead dual-source qualification strategy for high-risk consumables; build the satellite site supply chain playbook for future AISFs in support of the Blueprint project

CMMS & Equipment Asset Management

  • Own CMMS strategy, selection, implementation, and long-term governance — accountable for data accuracy across all commissioned instruments and mobile assets
  • Define asset tagging standards and location tracking protocols in alignment with Blueprint's asset taxonomy
  • Own PM coordination across sites; ensure calibration access and instrument readiness for production operations

Maintenance Management— Build & Oversight

  • Build out the Maintenance Management function from scratch in collaboration with Hardware & Controls Engineering (HCE) team: define the team structure, hire initial MM staff, and establish the operating model for instrument PM, calibration, and first-response troubleshooting
  • Stand up a dedicated L1 (Level 1) maintenance support team as the first line of response for lab-floor issues across shifts: triage incoming requests, execute standard work (resets, swaps, basic mechanical/electrical checks, consumables replenishment for instruments as defined), and escalate efficiently to HCE- L2/L3 Sustaining Engineering, vendors, or Integration Automation Engineering when deeper troubleshooting or design changes are required
  • Establish the escalation and handoff protocols between MM, LabOps, Research Operations (production team), and HCE/Automation; define the boundary between maintenance of commissioned instruments that are best serviced by MM and engineering modifications
  • Explore and define the HCE onboarding/training model for MM technicians, including potential rotational program for cross-training and augmentation

AI Integration & Continuous Improvement

  • Lead Lila's thinking on AI-enabled lab operations — evaluate, pilot, and scale intelligent solutions across inventory management, predictive reordering, asset tracking, and operational reporting
  • Build a continuous improvement culture within LOMM: baseline metrics, run structured improvement cycles, and bring external best practices from the biotech/life sciences industry into Lila's operating model
  • Define the innovation roadmap for LOMM in partnership with engineering and operations teams

Vendor & Logistics Management

  • Own vendor relationships for all lab supplies and logistics within approved frameworks; partner with Finance on contract strategy for key suppliers
  • Oversee lab-side receiving, intake, space readiness for new instrument deployments, waste and hazmat scheduling, gas management, and cold storage operations
  • Manage LOMM support ticket system as the single intake for all lab supply, equipment, and space requests

Team Leadership

  • Lead, grow, and develop the LOMM team across shifts and sites, scaling with each new site and shift expansion
  • Build and lead the MM team as a direct report function — from first hire through a fully operational multi-site MM capability
  • Define staffing models, hiring roadmaps, and capability development plans for both functions as they mature
  • Build a team culture defined by operational rigor, proactive problem-solving, and continuous improvement

Blueprint Contribution & Multi-Site Scaling

  • Author and own the LOMM chapter of Blueprint — documenting processes, system requirements, staffing models, and vendor frameworks so LOMM scales reliably to every new AISF
  • Pilot the Site Launch Readiness Scorecard for each new facility; feed findings back into Blueprint standards
  • Define the LOMM readiness criteria and pre-commissioning checklist for all future site launches

What You’ll Need to Succeed

  • 12–15+ years of lab operations experience in a biotech or life sciences environment, with demonstrated strategic impact at the program or portfolio level
  • Proven track record of defining and scaling lab operations systems — not just inheriting and running them; you've built operating models, established governance, and led functions through significant growth
  • Deep expertise in CMMS selection, implementation, and governance — you've owned platform decisions and data accuracy programs, not just used the tool
  • Experience building and leading teams across multiple functions, shifts, or sites — including hiring from scratch and developing operational capability in parallel with day-to-day execution
  • Experience owning and successfully defending ISO 9001:2015 audits related to preventive maintenance (PM) and calibration programs (e.g., evidence packages, CAPAs, and auditor-facing readiness)
  • Recognized as an authority in lab operations within your organization; comfortable operating as a peer to VPs and senior leaders and representing your function externally
  • Strong strategic and systems-level thinking — you anticipate org-wide operational challenges and define the structures to solve them, not just the immediate fix

Bonus Points For

  • Experience building or overseeing a Maintenance Management or instrument PM function — familiarity with IQ/OQ/PQ, calibration registries, MTBF tracking, and service vendor management
  • Experience leading or partnering closely with field service / technical service teams (dispatch, SLAs, escalation models, parts logistics, and service performance management) in high-uptime environments
  • Experience applying AI or intelligent automation to lab operations workflows (e.g., predictive inventory, automated asset tracking, AI-assisted reporting)
  • Background in materials science, life science, and chemistry lab environments — familiarity with the specific consumables, reagents, handling requirements, and vendor landscape in those domains
  • Experience supporting multi-shift or 24/7 lab operations
  • Familiarity with QMS-adjacent environments (SOP document control, change control, training records)
  • Experience contributing to a global site deployment or standardization program (playbook authorship, site launch readiness frameworks)

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
$168,000—$224,000 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.

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