Your Impact at LILA
We are seeking a Senior Manager, Scientific System of Record to lead the team building the user-facing surfaces and core applications that form Lila’s laboratory information management system (LIMS).
You will lead a team of engineers responsible for building the systems that scientists, technicians, and AI agents use to plan, execute, capture, and understand scientific work. You’ll work closely with scientists, product leaders, ML researchers, data engineers, automation engineers, and platform teams to turn complex laboratory workflows into intuitive, reliable, and scalable software.
The Scientific System of Record team builds the memory layer for Lila’s operations. It connects scientific intent to physical reality by capturing experimental plans, samples, protocols, executions, results, and operational context, creating the foundation for reproducibility and closing the Design-Build-Test-Learn loop.
As the Sr. Manager leading the LIMS surfaces, you will set technical direction, grow the team, shape the roadmap, and ensure we deliver software that is exceptional to use and trustworthy as the system of record for Lila’s scientific operations.
What You'll Be Building
- Lead development of interfaces and applications for samples, experiments, protocols, workflows, results, and lab operations.
- Set technical direction across front-end, backend, APIs, and data architecture.
- Build and lead a high-performing engineering team through hiring, coaching, mentorship, and career development.
- Partner with product and scientific stakeholders to define priorities and translate ambiguity into engineering plans.
- Ensure LIMS surfaces integrate with automation, data, ML, and platform systems.
- Establish engineering practices for correctness, auditability, traceability, provenance, and reliability.
- Align engineering, science, product, automation, and operations teams to drive initiatives into production.
What You'll Need to Succeed
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of software engineering experience, including leading engineering teams and delivering production software.
- 3+ years of engineering management experience, with a track record of hiring, developing, and retaining engineers.
- Strong technical depth in full-stack application development and architecture.
- Experience designing and operating APIs, databases, and distributed production systems.
- Experience building products for complex, workflow-driven, or data-intensive environments.
- Strong product sense and ability to translate scientific and operational needs into intuitive software.
- Excellent communication skills across technical, scientific, and cross-functional audiences.
Bonus Points For
- Experience with TypeScript, React, and Python.
- Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.
- Experience with AWS, Kubernetes, containerization, infrastructure as code, and CI/CD practices.
- Experience with orchestration and workflow systems such as Flyte, Temporal, Airflow, Prefect, or similar technologies.
- Experience building software platforms that bridge digital workflows and physical-world operations.
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.
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.
Lila Sciences Cambridge, Massachusetts, USA Office
Cambridge, MA, United States
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