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Lila Sciences

Senior Director, Data Platform Engineering

Lila Sciences · San Francisco, CA USA

Posted about 3 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Lila Sciences's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
116 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
2026-10-22

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

Lila is looking for a Senior Director of Data Platform Engineering to lead a team responsible for the company's data platform. The role involves overseeing the architecture, delivery, and reliability of the platform, while collaborating with various teams to enhance data processing capabilities. The director will also mentor engineers, define technical strategies, and represent the company at external events.

Our read on this posting3.0out of 5
benefits
4/5
freshness
1/5
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

  • 12+ years of software development experience, with a focus on data processing at scale
  • 5+ years of experience leading senior engineers
  • Experience with building on AWS/GCP primitives like S3 + Athena/BigQuery, and query engines
  • Operated data platforms at petabyte scale with sub-second query latency requirements
  • Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads
  • Familiarity with LLM/AI-native data patterns — vector stores, embedding pipelines, pre/mid/post training

Nice to have

  • Thought leadership in the community via presentations in conferences or blog posts
  • Experience building and growing teams focusing on open source technologies
  • Scientific data management and quality experience
  • Built self-service data products/platforms where developer experience was a first-class product concern

What you get

  • Competitive base compensation with bonus potential and 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
  • Educational assistance program

Worth weighing

  • No specific salary listed, but a range is provided ($260,000 — $390,000 USD)
  • Role involves managing a large team (30-40 engineers) which may imply significant responsibilities and expectations
  • Focus on cutting-edge technologies may require continuous learning and adaptation
  • The company promotes a high-speed, startup-like environment which may involve rapid changes and challenges

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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