Senior Manager, Capacity Planning in Cambridge

Senior Manager, Capacity Planning in Cambridge

Cambridge Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Lilasciences

At a Glance

  • Tasks: Lead capacity planning to ensure we meet market demands efficiently and profitably.
  • Company: Join Lila Sciences, a pioneering company in AI-driven scientific solutions.
  • Benefits: Enjoy competitive pay, equity options, flexible time off, and comprehensive health benefits.
  • Other info: Dynamic startup environment with opportunities for growth and innovation.
  • Why this job: Make a real impact by shaping the future of science with cutting-edge AI technology.
  • Qualifications: 6-8 years in strategic finance or operations; strong cross-functional collaboration skills.

The predicted salary is between 72000 - 88000 £ per year.

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
  • 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.

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Senior Manager, Capacity Planning in Cambridge employer: Lilasciences

At Lila Sciences, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Principal or Principal Software Engineer in our AI Lab Execution System team, you will have the opportunity to lead cutting-edge projects that directly impact scientific discovery while enjoying comprehensive benefits, flexible time off, and a commitment to employee growth through mentorship and educational assistance. Join us in a dynamic environment where your contributions will shape the future of AI in science, all while working alongside passionate professionals dedicated to solving humanity's greatest challenges.

Lilasciences

Contact Details:

Lilasciences Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Manager, Capacity Planning in Cambridge

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We think you need these skills to ace Senior Manager, Capacity Planning in Cambridge

Capacity Planning
Demand Forecasting
Resource Management
Cross-Functional Collaboration
Data Integration
Operational Process Design
AI Tool Integration

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Lilasciences, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Lilasciences

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Lilasciences’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.