or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days Lila Sciences's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 89 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
The Associate Director of Engineering for the Application Team at LILA will lead a team of engineers in developing AI-driven tools that enhance scientific research workflows. This role involves team leadership, defining technical strategies, overseeing product delivery, and collaborating with cross-functional teams to ensure the integration of AI into scientific processes. The position emphasizes building a high-performing team and driving innovation in how scientists interact with AI systems.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- 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 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, or LLM orchestration frameworks
- A point of view on what 'good' looks like for chat, agent, and copilot experiences
- Familiarity with AWS, Kubernetes, infrastructure-as-code, and CI/CD
- Thought leadership in the applied-AI community
- Experience with laboratory software or analytics for life sciences or material sciences
What you get
- Competitive base compensation with bonus potential
- Generous early-stage equity
- 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
Worth weighing
- No specific mention of remote work options
- The role involves leading a team that is expected to grow quickly in a high-pressure environment
- The position requires deep technical expertise across a broad stack, which may be challenging for some candidates
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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