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Invisible Technologies

Director of Engineering, Data Labs

Invisible Technologies · New York - Hybrid; San Francisco Bay Area - Hybrid

Posted today

or apply directly on Invisible Technologies's site. We never take the application ourselves.

Is this posting real?

This role has been open
0 days
Invisible Technologies's roles stay open a median of 70 days
Reposted
No
Salary listed
No
33% of Invisible Technologies's roles list one
Ghost-job risk at Invisible Technologies
high
15 stale, 0 reposted of 27 open
Hiring momentum
30 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-30

Measured from postings appearing on and disappearing from Invisible Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Invisible Technologies.

About this role

The Director of Engineering for Data Labs at Invisible will set the technical strategy for building benchmarking systems, data pipelines, and reinforcement learning environments that support AI training engagements. This role involves leading engineering teams, making architectural decisions, and translating market trends into actionable roadmaps. The director will also engage with clients and executives to ensure alignment between technical capabilities and business goals.

Our read on this posting3.0out of 5
benefits
2/5
freshness
5/5
career value
4/5
role clarity
4/5
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 Invisible Technologies as an employer.

What you need

  • 10+ years in software engineering, with significant experience building ML or AI systems
  • 5+ years in engineering leadership, including experience managing managers across multiple teams
  • A track record of setting multi-year technical strategy and making platform investment decisions that paid off commercially
  • Deep, current understanding of the AI training and evaluation landscape, including how frontier labs and enterprises approach fine-tuning, RLHF/RLAIF, and evaluation methodology
  • Hands-on familiarity with LLM training pipelines, deep enough to make and defend architectural decisions
  • Experience building benchmarking, data curation, or RL infrastructure that produced measurable client outcomes

Nice to have

  • Prior experience at an AI services firm, applied research consultancy, frontier lab, or enterprise AI product company
  • A visible point of view on the AI data and evaluation market, such as talks, writing, or open-source work
  • Familiarity with data licensing, synthetic data generation, or contamination detection involving client data
  • Experience shaping new product lines or service offerings from a technical foundation
  • Experience leading an org through rapid growth or significant change

What you get

  • Annual salary range of $252,000 — $300,000 USD with a 20% annual bonus and additional incentive structure
  • Salary structure accounts for regional differences in cost of living while maintaining internal equity
  • Final compensation is determined by factors including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions

Worth weighing

  • No specific details on the company's technology stack or tools used
  • The role is described as hands-on strategic but with limited coding responsibilities
  • The fast-paced environment may not suit those looking for predictable routines

Summarised from Invisible Technologies's posting. Read the full original.

Listed by Invisible Technologies on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.

More roles at Invisible Technologies

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