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Senior Director, Software Development, Test Automation

Lila Sciences · San Francisco, CA USA · San Francisco, CA

CHECKED 15H AGO

Bio & Science AIonsitedirector$300k–$390k
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At a glance

Highlights

  • Architect and ship the test automation platform adopted org-wide by default.
  • Drive AI-driven test generation and eval discipline for AI agent stack.
  • Build QC validation framework for autonomous lab execution and science ops.

What they offer

  • Competitive base compensation with bonus potential and early-stage equity
  • Medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company-wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits and company-subsidized lunch

Ideal candidate

Builder-leader with deep quality engineering instincts who scales through platform leverage and influence. Customer- and UX-obsessed, metrics-driven, and excited by AI-powered science and autonomous labs.

Requirements

  • 10+ years in software engineering, with 5+ years leading test automation, quality engineering, or platform/SRE-adjacent functions
  • 3+ years managing engineers, including building or scaling a team
  • Strong software architect with hands-on Python and/or TypeScript expertise
  • Deep CI/CD expertise at scale including monorepo orchestration, parallelization, caching and flake management
  • Demonstrated build-vs-buy judgment for test infra and tooling with TCO trade-offs
  • Hands-on AI-driven test automation using LLMs with rigorous eval validation
  • Track record of standing up an adopted test automation platform
  • Working knowledge of Google SRE practices applied to pre-production quality
  • Metrics-driven leader who scales through platform leverage and influence
  • Customer- and UX-first instincts for test automation

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗