Invisible Technologies

Invisible Technologies

Director of Engineering, Data Labs

New York - Hybrid; San Francisco Bay Area - Hybrid · Director · Full-time

Sponsorship not specified$252k-$300kDetected 29 min ago
AWSMachine LearningData EngineeringLLMsAccessibilitySupply ChainRecruitingResearchLeadershipCommunicationCollaboration

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • The frontier labs and enterprises we work with are changing how they train, evaluate, and deploy models every quarter.
  • Your job is to see where that market is going and make sure Data Labs is built for it before our clients ask.
  • You'll decide which capabilities we invest in, which we standardize into platform, and which we leave to individual engagements.

Responsibilities

  • Own the multi-year technical strategy for Data Labs, and translate it into a roadmap tied to where the AI training and evaluation market is heading.
  • Decide where to build shared platform versus engagement-specific solutions, weighing reuse against team autonomy so platforms speed teams up rather than creating over-dependency.
  • Set expectations for how AI is used in design reviews and day-to-day engineering work.
  • Build a clear, current view of how frontier labs and enterprises are training, evaluating, and deploying models, and what that means for the data and infrastructure they'll need from us.
  • Partner with product and commercial teams to shape new offerings, pricing logic, and the technical story behind them.
  • Make sure evaluation design ties to client-defined success metrics, validate automated checks against human judgment, and be explicit about what each approach can't see.
  • Lead and grow an engineering org of multiple teams, including engineering managers, senior managers, FDEs, and Staff+ ICs.
  • Coach managers to build sound technical judgment and strategic awareness in their teams.
  • Build hiring pipelines that reinforce a rigorous, client-focused, strategy-aware engineering culture.
  • During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location.

Requirements

  • 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.
  • Ability to read market and competitive signals and turn them into a technical roadmap and a clear product point of view.

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's In It For You
  • Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.

Skills

  • About Invisible
  • Invisible Technologies makes AI work.
  • Our platform cleans, labels, and structures company data so it is ready for AI.

Compensation

  • $252,000 - $300,000 USD
  • You can find more information about our geographic pay tiers here.
  • For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
  • Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.
  • Additional details on total compensation and benefits will be discussed during the hiring process.
  • The base salary range for SF/NY are:

Benefits

  • Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
  • For this position, the annual salary will include a 20% annual bonus and an additional incentive structure.
  • Bonuses and equity are included in all full-time offers.

Company info

  • In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
  • What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it.
  • Ownership is at the core of everything we do.

Equal opportunity

  • If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form.
Apply directly at Invisible Technologies →Create a free account for alerts like thisView Invisible Technologies immigration profile

This listing is sourced directly from Invisible Technologies's careers page and normalized into a canonical job model.