---
title: 'Director of Engineering, Data Labs at Invisible Technologies'
canonical: 'https://feeny.ai/job/director-of-engineering-data-labs-invisible-technologies-new-york-smqte5b2as00'
type: 'job'
last_seen: '2026-10-29'
---

# Director of Engineering, Data Labs at Invisible Technologies

- **Company:** Invisible Technologies
- **Location:** New York, NY / San Francisco, CA
- **Compensation:** $252k–$300k
- **Work type:** hybrid
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-29
- **Apply:** https://job-boards.eu.greenhouse.io/invisibletech/jobs/5010072101

## Job description

## About Invisible

Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that makes AI work in production at scale: unify fragmented data, map complex processes, orchestrate and evaluate agents, and stand up hyper-personalized workflow applications fast for companies like Grubhub, Alliance Global, and Thomson Reuters. Where models fall short, we build RL environments and data to fix them. The result: a virtuous cycle between enterprise deployment and model training.

Recognized as Best Predictive Analytics Platform of the Year at the 2026 AI Breakthrough Awards, Invisible makes AI work.

## About the Role

We're looking for a Director of Engineering to set the technical strategy for Data Labs, the team that builds the benchmarking systems, data pipelines, and RL environments behind our AI training engagements. 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. You'll track how training methods, evaluation practices, and data needs are shifting across the industry, and turn that into a technical roadmap and a point of view our commercial and research teams can sell against.

You'll lead a group of engineering managers, forward deployed engineers (FDEs), and senior ICs, and partner closely with applied research, product, and go-to-market leadership. This is a hands-on strategic role. You won't spend much time writing code, but you'll stay close enough to the technical work to make and defend hard architectural calls, and close enough to clients to know which calls matter.

## What You'll Do

Technical Strategy & Roadmap

- 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 architectural direction for benchmarking infrastructure, data pipelines, and RL environments so they stay reproducible, portable across client deployments, and ready for the next generation of training methods.
- Anticipate technical shifts 6–18 months out, such as new post-training techniques, agentic evaluation, and synthetic data, and place the bets that keep Invisible ahead of them.
- Set expectations for how AI is used in design reviews and day-to-day engineering work.

Market Intelligence & Competitive Positioning

- 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.
- Track the competitive landscape across AI data, evaluation, and RL environment providers, and help define where Invisible differentiates.
- Turn client signals, research developments, and market trends into investment recommendations for executive leadership.
- Partner with product and commercial teams to shape new offerings, pricing logic, and the technical story behind them.

Evaluation & Data Strategy

- Define Invisible's point of view on benchmarking and evaluation, including pre- and post-engagement comparisons, capability gap analyses, and regression tracking.
- 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.
- Identify reusable data assets, frameworks, and pipelines that become durable advantages and improve margins across engagements.
- Shape practices for data licensing, privacy, and contamination risk as a strategic differentiator, not just a compliance requirement.

Client & Executive Engagement

- Represent engineering in executive conversations, strategic client relationships, and pre-sales, translating technical reality into clear, honest narratives.
- Act as a trusted technical advisor to client research and engineering leaders, bringing back what you learn to inform the roadmap.
- Help leaders weigh client-specific asks against broader platform and business goals, with clear short- and long-term paths.

Organizational Leadership

- 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.
- Make sure the org has the planning, quality, and operational practices it needs to execute on the strategy reliably, delegating day-to-day delivery to strong managers.

## What We're Looking For

- 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.
- Ability to read market and competitive signals and turn them into a technical roadmap and a clear product point of view.
- Strong cross-functional partnership with applied research, product, and commercial teams.
- Excellent executive communication, and confidence acting as a technical advisor in client and pre-sales conversations.

## 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. 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. The base salary range for SF/NY are: Salary Range $252,000—$300,000 USD

Bonus and equity is included in all full-time, non commission offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

You can find more information about our geographic pay tiers [here](https://invisibletech.ai/compensation-and-pay-tiers). During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

What It's Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. [Click here to learn more about how we use AI and our guidelines for candidates.](https://www.invisible.co/ai-interview-guidelines)

Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

## About Invisible Technologies

## Company Overview
- **One-liner**: Invisible Technologies provides an AI orchestration platform that cleans, labels, and structures enterprise data, deploys governed AI agents, and integrates vetted human expertise to make AI work reliably at scale.
- **Entity Type**: Private (Series A — latest $100M round closed September 2025)
- **Headquarters**: New York, NY, USA (7 West 18th Street, Floor 3)
- **Founded**: 2015
- **Founders**: Not publicly disclosed on their website or in major profiles (founder names absent from available sources)

## Core Business
- Primary industry: Enterprise AI Infrastructure & Software Development
- Target customers: B2B / Enterprise (serves asset management, banking, consumer goods, insurance, public sector, sports, supply chain)
- Mission/purpose: "Make operations behave like systems. Recursive. Reliable. Quietly compounding." — focused on redesigning the unseen infrastructure of enterprise workflows.

## Products & Services
- **Atomic**: A visual process orchestration layer that connects all moving parts of an operation into one coherent flow — maps work visually, automates steps, routes tasks to the right AI or person, enforces quality, and feeds results back into existing systems.
- **Neuron**: A data platform that pulls messy, multi-source data into a governed, machine-ready state; auto-cleans and organizes data and builds a living map of business entities (orders, inventory, customers, processes).
- **Synapse**: An evaluation engine for rigorous quality, safety, and accuracy testing of AI outputs; runs automated checks against custom criteria, provides side-by-side model comparison, and tracks passing/failing per use case (not static benchmarks).
- **Axon**: AI agents that can think through complex, multi-step work, use tools, write code, and hand off finished results to enterprise systems; each workflow is versioned, trackable, and customer-separated for safe testing and promotion.
- **Meridial**: A global expert network of over 24,000 vetted domain specialists deployed on-demand for training data labeling, AI stress-testing, edge-case handling, and human-in-the-loop support.

## Market Standing
- **Valuation**: Not disclosed (private company)
- **Key Metric**: Reached $134 million in revenue in 2024 (profitability for over half a decade per LinkedIn); ranked #2 fastest-growing AI company in 2024.
- **Total Funding**: $107.9M across 6 rounds (latest: $100M venture round in September 2025, plus a follow-on round in April 2026 with 1 investor)
- **Notable Investors/Partners**: Not individually named in available sources, but they have trained models for Microsoft, AWS, and Cohere, and deployed for Swiss Gear, SAIC, and the Charlotte Hornets.
- **Growth Signals**: Headcount grew 58.3% YoY to 3,583 employees; operates in 108 countries; revenue jumped to $134M in 2024; acquired WeCP (We Create Problems); 10 active job postings with 25% monthly job posting growth.

## Competitive Advantages
- **Full-stack AI infrastructure**: A modular platform covering data preparation (Neuron), process orchestration (Atomic), evaluation (Synapse), autonomous agents (Axon), and human expertise (Meridial) — all in one integrated system.
- **Proven track record**: Has trained over 80% of the world's leading AI models, citing work with Microsoft, AWS, and Cohere.
- **Human-in-the-loop moat**: The Meridial network of 24,000+ vetted domain experts provides a flexible human layer that competitors cannot easily replicate, enabling high-quality, domain-specific AI training and safe AI deployment.
- **Profitability + high growth**: Profitable for over half a decade while achieving 58%+ headcount growth and $134M revenue — rare in AI infrastructure.
- **Workflow-first approach**: Platform is designed to integrate with existing enterprise stacks (not rip-and-replace), reducing process complexity by 70%+ on average.

## Strategic Focus
- Deepening enterprise automation in back-office, compliance, engineering review, and supply chain workflows.
- Scaling the Meridial expert network globally to cover more languages and domains.
- Building governed, auditable AI agents (Axon) for industries with strict compliance needs (banking, insurance, healthcare, public sector).
- Continuing to advance evaluation rigor (Synapse) to move beyond static benchmarks into use-case-specific, model-agnostic testing.

## Why Work Here
- **Culture**: "Intensity of a startup and the footprint of a global enterprise" — lean, high-autonomy, outcome-focused with no red tape.
- **Remote/Hybrid**: Flexible PTO and benefits tailored to location; global hubs in New York, San Francisco, Austin, London, Washington D.C., and Warsaw with regular in-person team off-sites.
- **Perks**: Comprehensive health coverage (or stipend), 401(k) program, parental leave, equity, and flexible PTO.
- **Engineering culture**: Focus on "replacing effort with intelligence" — builders work on recursive, reliable systems that improve with use; roles include Principal Software Engineer (Applied AI), Staff Software Engineer (Applied AI), Engineering Lead, and Backend Engineer.
- **Growth trajectory**: Company was #2 fastest-growing AI company in 2024, headcount expanding rapidly, and with $100M+ funding and $134M revenue, there is significant upside and career velocity.
- **Global & diverse**: Workforce spans 108 countries with hubs in major cities; employees from top AI talent sources (Outlier, Scale AI, DataAnnotation, Turing, xAI).

## Sources
1. [invisibletech.ai](https://invisibletech.ai/)
2. [LinkedIn Company Profile](https://www.linkedin.com/company/invisible-technologies-inc-)
3. [CB Insights Profile](https://www.cbinsights.com/company/invisible-technologies)
4. [Greenhouse Careers Page](http://job-boards.eu.greenhouse.io/invisibletech)

## Other roles at Invisible Technologies

- [Corporate Counsel](https://feeny.ai/job/corporate-counsel-invisible-technologies-new-york-69qgh8k45n0y) — New York, NY / United States
- [Head of Frontier AI](https://feeny.ai/job/head-of-frontier-ai-invisible-technologies-new-york-mvrqeenv2ya2) — New York, NY / San Francisco, CA
- [People Experience Manager](https://feeny.ai/job/people-experience-manager-invisible-technologies-new-york-tza9g6vbr17z) — New York, NY
- [Contract Technical Recruiter](https://feeny.ai/job/contract-technical-recruiter-invisible-technologies-united-states-h16t5ypx4bck) — United States
- [Senior Solutions Architect - Data Labs](https://feeny.ai/job/senior-solutions-architect-data-labs-invisible-technologies-london-76r2he3ejg8b) — London, United Kingdom / New York, NY / San Francisco, CA
- [Senior Software Engineer (Forward Deployed)](https://feeny.ai/job/senior-software-engineer-forward-deployed-invisible-technologies-london-1drfr7nakdhc) — London, United Kingdom
- [Research Engineer](https://feeny.ai/job/research-engineer-invisible-technologies-new-york-s02hmf0ys1t7) — New York, NY / San Francisco, CA
- [Senior Data Product Owner](https://feeny.ai/job/senior-data-product-owner-invisible-technologies-new-york-ysr18t9q33ge) — New York, NY
- [Software Engineer (Forward Deployed)](https://feeny.ai/job/software-engineer-forward-deployed-invisible-technologies-london-6hcchj25ch2p) — London, United Kingdom
- [Site Reliability Engineer (Contract, Rotation-Based)](https://feeny.ai/job/site-reliability-engineer-contract-rotation-based-invisible-technologies-f62ant2mbvhk) — Estonia / India / South Africa