Senior Manager, Capacity Planning

Lilasciences; Cambridge; On-site; GBP 103,000 - 128,000; Full time

Benefits offered by this job

Early-stage equity

Job summary

Lila Sciences is seeking a Senior Manager of Capacity Planning to lead end-to-end capacity planning across proposals and scientific capabilities. You will own models, processes, and cross-functional rhythms to translate demand into deliverable capacity and drive profitable growth.

The role sits at the intersection of Finance, Product, Commercial, AI, and Experimental teams, acting as the primary point of contact for capacity across the proposal pipeline and shaping the system to scale our AI

Qualifications

• 6-8+ years of experience in strategic finance, business or revenue operations or operations.
• Demonstrated experience building and operationalizing a planning tool, system, or process.
• Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact.
• Ability to learn a technical, scientific, or equipment landscape quickly and translate it into strategic processes.
• Experience defining a data model or planning framework from first principles, including units of measure and standard definitions.
• Demonstrated ability to manage cross-functional stakeholders across multiple disciplines while operating with ownership.

Responsibilities

• Build end-to-end capacity planning processes for every commercial proposal and scientific capability.
• Translate demand forecasts into resource, staffing, and capacity plans while identifying bottlenecks and quantifying cost and lead time to close them.
• Maintain the authoritative record of capacity commitments across the active pipeline.
• Define standard units of measure, batch definitions, and workflow-to-demand mappings that connect Operations, Scientific, Commercial, and Financial data into a single Integrated Business Plan.
• Design and build the evolving toolset required to support Integrated Business Planning for the lab of the future.
• Partner with Product and deal teams to embed capacity assessment early while informing company roadmap and strategy.
• Distill complex, ambiguous operational data into clear recommendations for audiences ranging from individual scientists to executive leadership.

Skills

Strategic finance

Revenue operations

Planning tool

AI workflow integration

Cross-functional leadership

Education

Bachelor's degree in finance or related field

Tools

Planning tool

AI integration tooling

Job description

Your Impact at LILA

Lila Sciences is seeking a Senior Manager, Capacity Planning to join the team as the company moves from research into commercial-scale operations. You will own the models, processes, and cross-functional rhythms that translate demand from go-to-market commitments partnerships into the delivery and operational capacity required to meet it profitably. Capacity planning is the connective tissue between what we sell and what we can deliver. Done well, it lets Lila commit confidently to customers and partners, invest ahead of demand without waste, and grow the commercial business on a sound operational footing. You'll be the person who makes that discipline real.

This is a highly cross-functional role positioned at the intersection of Finance, Product, Commercial, AI, and Experimental teams. The successful candidate will serve as the primary point of contact for capacity and resourcing across the proposal pipeline, establish the source of truth for capacity commitments, and design the system required to scale our AI Science Factories.

What You’ll Be Building

• Build, own, and execute end-to-end capacity planning processes for every commercial proposal and scientific capability.
• Translate demand forecasts into resource, staffing, and capacity plans while identifying bottlenecks and quantifying the cost and lead time to close them.
• Maintain the authoritative record of capacity commitments across the active pipeline.
• Define standard units of measure, batch definitions, and workflow-to-demand mappings that connect Operations, Scientific, Commercial, and Financial data into a single Integrated Business Plan.
• Design and build the evolving toolset required to support Integrated Business Planning for the lab of the future.
• Partner with Product and deal teams to embed capacity assessment early while informing company roadmap and strategy.
• Distill complex, ambiguous operational data into clear recommendations for audiences ranging from individual scientists to executive leadership.

What You’ll Need to Succeed

• 6-8+ years of experience in strategic finance, business or revenue operations, or operations.
• Demonstrated experience building and operationalizing a planning tool, system, or process.
• Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact.
• Ability to learn a technical, scientific, or equipment landscape quickly and translate it into strategic processes.
• Experience defining a data model or planning framework from first principles, including units of measure and standard definitions.
• Demonstrated ability to manage cross-functional stakeholders across multiple disciplines while operating with ownership.
• Bachelor’s degree in finance, economics, engineering, operations, or a directly related technical field.

Bonus Points For

• Experience standing up a capacity or resource planning function from scratch.
• Exposure to or technical expertise in deep-tech, biotech, life sciences, or AI/platform businesses.
• Familiarity with building repeatable processes and systems alongside highly technical teams.

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

$140,000—$172,667 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 iscommitted to equal employment opportunityregardless 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.