Invisible Technologies

VP, Head of AIT Research

New York - Hybrid; San Francisco Bay Area - Hybrid · Vp

Sponsorship not specifiedDetected 19 days ago

AWSMachine LearningLLMsAccessibilityProject ManagementSupply ChainRecruitingResearchLeadershipCommunicationCollaboration

About the role

We are looking for a commercially-minded research leader to serve as Head of AI Training Research, responsible for delivering measurable client outcomes through applied research excellence.
You will be accountable for the quality, scalability, and commercial impact of our training research practice.

Lead and align a cross-functional pod of applied researchers, FDEs, and project leads around shared client outcome goals
Own the research practice's contribution to revenue - including supporting pre-sales, scoping engagements, and ensuring delivery quality that drives retention and expansion
Build a team culture that is rigorous, fast-moving, and relentlessly focused on client impact
Partner with project leads to scope engagements accurately, manage research risk, and hit delivery milestones
Ensure benchmark design is tied to client-defined success metrics, not just internal research goals
Lead strategy around sourcing, filtering, and deploying off-the-shelf datasets in support of client training objectives
Build repeatable frameworks for data quality assessment that can be applied efficiently across diverse client use cases
RL Environment Building
Partner with FDEs and applied researchers to close the loop between environment design and real-world client outcomes
A member of our team will follow up to support your request.

8+ years in applied ML or AI research, with at least 3 years leading research or technical delivery teams in a client-facing or revenue-generating context
Proven track record of translating research capabilities - benchmarking, data curation, or RL - into delivered client value
Experience working across applied researcher, engineering, and project management functions

Prior experience at an AI services firm, applied research consultancy, or enterprise AI product company
Familiarity with data licensing, synthetic data generation, or contamination detection in the context of client data

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.
Offers will also include bonus + equity
Bonuses and equity are included in all offers.
Additional details on total compensation and benefits will be discussed during the hiring process.
Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.

We are committed to providing reasonable accommodations for individuals with disabilities.
At Invisible, we're not just redefining work-we're reinventing it.
Ownership is at the core of everything we do.

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.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information.
Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria.

Act as an executive sponsor on strategic accounts, providing research credibility and depth to client relationships

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