Head of AI Training Research

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. 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.

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. This role sits at the intersection of research and revenue – leading a team of applied researchers, forward deployment engineers (FDEs), and project leads who work in close coordination to ensure every client engagement is backed by rigorous methodology and drives tangible results.

This is not a purely academic role. You will be accountable for the quality, scalability, and commercial impact of our training research practice.

Leadership & Commercial Accountability

• 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
• Act as an executive sponsor on strategic accounts, providing research credibility and depth to client relationships
• Build a team culture that is rigorous, fast‑moving, and relentlessly focused on client impact

Client Delivery & Applied Research

• Define the applied research frameworks, workflows, and quality standards used across all client engagements
• Ensure applied researchers are translating benchmarking, data, and RL environment work directly into client‑specific training solutions
• Partner with project leads to scope engagements accurately, manage research risk, and hit delivery milestones
• Work with FDEs to ensure research outputs are deployable, integrated, and producing measurable model improvements in client environments
• Oversee the development of benchmarking capabilities used to demonstrate value to clients – pre‑ and post‑engagement performance comparisons, capability gap analyses, and regression tracking
• Ensure benchmark design is tied to client‑defined success metrics, not just internal research goals
• Use benchmark outputs as a feedback loop to continuously improve delivery quality across engagements
• 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
• Identify reusable data assets and pipelines across engagements to improve margins and delivery speed
• Oversee the development of RL environments that are purpose‑built or adapted for client‑specific task performance
• Ensure environments are reproducible and portable across client deployments
• Partner with FDEs and applied researchers to close the loop between environment design and real‑world client outcomes

• 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; comfortable…