--- title: 'Head of Frontier AI at Invisible Technologies' canonical: 'https://feeny.ai/job/head-of-frontier-ai-invisible-technologies-new-york-mvrqeenv2ya2' type: 'job' last_seen: '2026-10-29' --- # Head of Frontier AI at Invisible Technologies - **Company:** Invisible Technologies - **Location:** New York, NY / San Francisco, CA - **Work type:** hybrid - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-29 - **Apply:** https://job-boards.eu.greenhouse.io/invisibletech/jobs/5009192101 ## 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 RL Data Lab Invisible's RL Data Lab builds the data and evaluation infrastructure that model builders use to train and measure their models, from foundation labs to large tech companies to enterprises building their own agentic systems. The Head of Frontier AI owns that transition across every customer that builds or adapts models: foundation labs today, and a growing set of tech companies and enterprises over time. ## The role You will own revenue growth from model builders, across foundation labs, large tech companies, and enterprises: expanding existing accounts, opening new ones, and adding new types of revenue on top of the services we sell today. This is a commercial leadership role with a product mandate. You will run these client relationships end to end, and you will be the voice of the customer inside Invisible, working with Product and Engineering to turn what labs need into offerings we can sell at scale. Your mandate has three parts: - Grow existing clients by expanding scope, deepening multi-threaded relationships, and moving accounts from one-off projects to recurring programs. - Win new clients across foundation labs, emerging frontier labs, large tech companies building genAI products, and enterprises training or fine-tuning models for agentic solutions. - Build new revenue lines by bringing newer offerings (staff aug, data brokerage, agentic trajectories) to market alongside our core RLHF and SFT work. Who you'll sell to Segment Who they are What they need from us Foundation and frontier labs Labs training frontier models Post-training data, RL environments, agentic trajectories, specialist talent at scale Large tech companies Teams building genAI products and in-house models Domain-specific SFT/RLHF data, evals, embedded experts Enterprises Companies moving from buying AI to building or fine-tuning models for agentic workflows Proprietary-data fine-tuning, evaluation, trajectories for their own agents, staff aug Labs are the core of the business today; tech companies and enterprises are where the next wave of model-building revenue will come from. Enterprise accounts are run in partnership with Enterprise GTM. ## What you'll sell You will sell a portfolio that spans our established services and the newer, more productized lines we are building. Offering What labs buy Where it is today RL environments and long-horizon agentic trajectories Environments, tasks, graders, and multi-step agent trajectories for reinforcement learning Growth line; shaped closely with Product and Engineering ## RLHF / SFT Expert-generated preference data, demonstrations, and evaluations for post-training Core revenue; scale and margin expansion Staff augmentation Vetted domain experts and specialists embedded with lab teams on W-2 or 1099 terms New business unit; first deals and repeatable motion Data brokerage Licensed and sourced datasets matched to lab training needs New revenue line; packaging, pricing, and first buyers ## Responsibilities Revenue and growth - Own the model-builder revenue number across labs, tech companies, and enterprises: bookings, net revenue retention, and new-logo targets. - Build and run the account plan for each key account, including whitespace mapping across all four offerings. - Source, scope, price, and close new programs; lead negotiations on MSAs, SOWs, and commercial terms. - Forecast accurately and run a disciplined pipeline that leadership can plan against. Client relationships - Be the senior relationship owner with research leads, post-training and AI platform teams, data leads, and procurement at each account. - Multi-thread every account so relationships do not depend on a single champion. - Run executive business reviews and turn delivery results into expansion. - Escalate and resolve delivery issues before they put renewals at risk. Product and business transformation - Bring structured customer insight to Product and Engineering: what each segment is training on next, where data bottlenecks are, and what they will pay for. - Co-define packaging and pricing for productized offerings, moving revenue from bespoke services toward repeatable, higher-margin products. - Pilot new revenue lines (staff aug, data brokerage, agentic trajectories) with early-adopter clients and turn pilots into standard offerings. - Partner with Delivery and Operations to make sure what is sold can be delivered at quality and margin. ## Team and market - Build and lead a team of account executives and engagement leads as the business scales. - Represent Invisible in the frontier AI community through conferences, research relationships, and thought leadership. - Track competitors and market pricing, and feed that into positioning and strategy. What success looks like First 90 days - Meet the senior stakeholders at every active key account and have a written account plan for each. - Own the model-builder pipeline and forecast across all three segments, with a clear view of expansion and new-logo targets. - Close or advance at least one deal in a new revenue line (staff aug, data brokerage, or agentic trajectories). - Agree with Product and Engineering on the top customer-driven priorities for the next two quarters. First year - Hit the model-builder revenue target, with growth from both existing and new accounts. - Measurably shift revenue mix toward productized, recurring offerings. - Land new logos in each segment, including first enterprise model-building programs, and multi-thread every top account. - Have a hired, ramped team running a repeatable sales motion. ## Qualifications Required - 10+ years in enterprise sales, business development, or account leadership, including 3+ years leading a team or a major book of business. - Existing, senior relationships at one or more foundation or frontier AI labs, plus credibility with AI leaders at large tech companies or enterprises. - A track record of closing and expanding multi-million-dollar, multi-year deals with technical buyers. - Working fluency in how frontier models are built: pretraining, SFT, RLHF, RL environments, evals, and agentic systems. - Experience selling a portfolio that blends services and technology, with strong commercial instincts on pricing, packaging, and margin. - Proven ability to work cross-functionally with Product, Engineering, and Delivery to shape what gets built. ## Preferred - Prior leadership at an AI data, training, or evaluation company, or on the data side of a frontier lab. - Experience taking a services business toward productized or platform revenue. - Exposure to staffing, talent marketplaces, or data licensing models. - Experience selling AI/ML platforms or services into enterprises adopting agentic AI. - Technical background (CS, ML, or a quantitative field). ## Who you are - Credible with researchers and enterprise buyers alike. You can hold a credible conversation about reward models, eval design, and agent trajectories, not just commercial terms. - A builder, not just a closer. You see a recurring customer need and push to turn it into a product. - Comfortable with ambiguity. New offerings will be half-formed when you start selling them; you help shape them. - Operationally rigorous. Clean pipeline, honest forecasts, clear account plans. - Low ego, high ownership. You lead from the front on deals and give credit to the teams who deliver. 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. 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 - [Director of Engineering, Data Labs](https://feeny.ai/job/director-of-engineering-data-labs-invisible-technologies-new-york-smqte5b2as00) — 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