Lilasciences
Associate Director, App
Cambridge, MA USA; San Francisco, CA USA. Posted 2 months ago
The role
You will lead a team of 8-10 engineers designing agents, interfaces, and platform integrations. You will define the technical roadmap for the application layer and own the end-to-end delivery of the application platform.
What you will do
- Build, mentor, and manage a high-performing team of 8-10 engineers
- Conduct performance reviews and provide feedback
- Manage team workload and prioritize projects
- Define and execute the technical roadmap for LILA's application layer
- Drive innovation in how scientists interact with AI-driven systems
- Own end-to-end delivery of the application platform
- Partner with ML researchers, scientists, product managers, and engineering leaders
- Communicate technical concepts to technical and non-technical audiences
- Represent LILA's applied-AI work externally through conferences, presentations, and writing
Required qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 12+ years of engineering experience building and deploying large-scale production systems
- 5+ years leading senior engineers
- Track record of building and growing high-performing engineering teams in high-growth or early-stage environments
- Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes)
- Hands-on experience using AI coding assistants and agentic tooling
Nice to have
- Experience shipping products built on AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks
- AI-native product intuition
- Familiarity with AWS, Kubernetes, infrastructure-as-code (Terraform, CloudFormation), and CI/CD (GitHub Actions)
- Thought leadership in the applied-AI community via conference talks, blog posts, or open source
- Experience with laboratory software, analytics for life sciences or material sciences, or adjacent scientific computing domains
Benefits
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships for office based employees
- Company subsidized lunch program
About the company
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science.