AI Engineer - New Verticals

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

Role Overview

We’re hiring a founding AI Engineer to help build a new vertical from the ground up.

You’ll be the first AI Engineer dedicated to this vertical, working directly with the GM to define the market, strategy, and early commercial motion. Your job is to turn early customer demand into durable technical capability: defining what the vertical needs, building reusable infrastructure on top of our existing platform, and establishing the technical patterns that future engagements and future hires can build on.

This is not a standard implementation role. It sits at the intersection of engineering, product judgment, and customer reality. You should be excited to work from first principles, operate in ambiguity, iterate quickly, and partner with product engineering to make strong calls about what should become a core platform capability versus what should remain vertical-specific.

What You’ll Do

Build the Technical Foundation

• Partner with the GM and early customers to define what the vertical actually needs technically.
• Build the first MVP of reusable patterns, integrations, and tooling that future engagements will run on, leveraging our core platform where it fits and extending it where the vertical requires something new.
• Make architectural decisions about what belongs in the platform layer versus vertical-specific tooling.
• Create the initial technical playbook so future FDEs can build on a real foundation rather than starting from scratch.

Own First Deals End-to-End

• Lead the first customer engagements in the vertical, from technical scoping through delivery and post-launch support.
• Write robust code that solves immediate customer problems while compounding into reusable infrastructure.
• Navigate real-world complexity across customer data, integrations, workflows, and stakeholder dynamics.
• Translate messy customer requirements into systems that are durable and maintainable.

Shape What Becomes Product

• Partner with Product and Engineering to identify which patterns from early customer work should become core platform capabilities.
• Surface repeatable use cases, infrastructure gaps, and product opportunities from live engagements.
• Help determine when the vertical is ready to evolve from bespoke delivery into a repeatable product motion.

Partner Across the Company

• Work directly with the GM or Solutions Lead to define the vertical’s technical strategy and commercial approach.
• Partner with Data Lab on domain-specific data and research questions.
• Collaborate with other FDEs on shared patterns, tools, and approaches that should compound across verticals.
• Serve as the technical voice of the vertical as it grows.

What Success Looks Like

The shape of this role depends on the vertical you’re deployed into, so we measure success based on trajectory rather than a fixed set of outputs. In the first 90 days, we expect the following to happen:

Build an understanding of the vertical and strategy

Develop a strong understanding of the vertical, the market dynamics, and the GM’s strategy for building and scaling the business. Gain context on the customer landscape, commercial motion, and the unique technical requirements that will shape the vertical’s success.

Understand customer and platform needs

Build a deep understanding of what customers and data partners need, what Protege’s platform can already support, and where meaningful gaps exist. Develop a clear point of view on which constraints are temporary, which require new infrastructure, and which represent opportunities for future product investment.

Identify the highest-leverage technical bets

Evaluate the te…