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.

Associate Director, App at Lilasciences | JobZoey