Founding Solutions Architect - AI Solutions

As the technical lead for AI Solutions, GLG’s new human-data business, you’ll be the person AI researchers trust. You’ll build lasting relationships with them, lead every technical conversation, and design human-data programs we can deliver well, from the first call through delivery. You might be a Solutions Engineer at a human-data vendor who wants to help build a business from the ground up, a technical project lead who has run lab programs and is ready to move to the front of the deal, or an evaluation specialist who wants to work directly with customers.

The role

AI Solutions puts GLG's expert network to work on AI training data and expert evaluations for frontier labs. Our aim is to lead the top of the market: high-stakes professional domains.

You are the GM's partner in the market and share one revenue target. The GM runs the commercial side of each deal. You run the technical side: the relationship with the researcher, the quality and measurement discussion, and the design of the program. You are also a hunter, building pipeline through the research community.

What you'll own

• Researcher relationships. Build direct relationships with researchers, post-training teams and eval leads before there is an RFP. Bring back what labs are buying and where current vendors fall short.
• Source opportunities through those relationships and in the field: events, conferences and dinners where researchers spend time.
• Technical discovery. Find which capability a lab is trying to improve. Use GLG experts to surface where a model fails in a domain and turn that finding into a pilot.
• Program design. Define the task, rubric, output format and difficulty target so the work measures what the lab cares about.
• Panel design. Decide with the Strategic Project Lead who qualifies for the expert panel and how it is calibrated. You own it together and sign off with each other.
• Quality methodology. Own the QA conversation and the math behind it: gold sets, agreement metrics, sampling and acceptance thresholds. Go head-to-head with researchers on it.
• Pilot to program. Set the success criteria for each pilot and help convert it into a production contract.
• Write the technical sections of bids and build reusable materials so every sale is easier than the last.
• Credibility strategy. Decide with the GM and Delivery which benchmarks, evals and other proof GLG needs to win its domains.

How you work with the team

The GM owns pricing, terms and the close. You own the technical promise we make to the client. A Strategic Project Lead co-owns scoping with you, then sources the experts, staffs the panel, pressure-tests the collection approach, and owns delivery with the VP of Operations.

As we add sellers, you become their technical counterpart on every deal, or move into a selling role of your own.

Who we're looking for

• Technical depth first. Credible with a frontier-lab researcher, well beyond "AI fluent" in the enterprise-sales sense.
• Has designed, scoped or delivered human-data, evaluation or benchmark work for AI labs.
• Knows the work: expert-authored evals, rubric design, preference data and post-training, in domains such as financial services, life sciences, trust & safety, etc.
• Strong on the statistics of quality: agreement metrics, gold sets, sampling and acceptance thresholds.
• Comfortable getting hands-on with model outputs and eval results.
• A hunter's instinct: you build your own relationships, want to share a revenue number, and like being in the field.
• Comfortable building in ambiguity on a founding team.

Why this role

• The supply others lack. Sourcing senior experts is the hard part of this market. GLG's expert network is the business we are built on.
• A founding seat. You write the playbook, shape the offering, and set the standard for who we hire next.
• Direct access. You work with lab researchers and with GLG leadership, with no layers in between.

The anticipated hiring base salary range for this role is: 97500 - 200000 USD