Lila Sciences
Senior Manager, Scientific Discovery Capacity Planning
Cambridge, MA USA
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.6M live jobs from 190,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Lead / management
- Stated salary
- $140,000 – $172,667 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 15 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Your Impact at LILA
Lila Sciences is seeking a Senior Manager, Scientific Discovery 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
Has worked in detail across a technical, scientific, or laboratory landscape quickly and translated it into strategic processes.
6-8+ years of experience in strategic finance, business or revenue operations, or operations.
Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact.
Demonstrated experience building and operationalizing a planning tool, system, or process.
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.
Advanced 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 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.
Listed on hirly, a job board. hirly is not the employer: Lila Sciences is hiring for this role.
Similar jobs
- Property ManagerNewmark · Las Vegas, NV, United StatesFirst seen today
- Senior Project ManagerNewmark · Dallas, TX, United StatesFirst seen today
- Tax Experienced Manager, Core Tax ServicesBDO USA Experienced · Grand Rapids, MI, United StatesFirst seen today
- Tax Senior Manager, Core Tax ServicesBDO USA Experienced · Jacksonville, FL, United States; Tampa, FL, United States; Orlando, FL, United States; Miami, FL, United States; West Palm Beach, FL, United States; Fort Lauderdale, FL, United StatesFirst seen today
- Retail Print ManagerCandidate Experience site · Elko, NV, United StatesFirst seen today
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job