Protege Seed

Forward Deployed Engineer

Remote Remote Mid (3-5 yrs) Added Jun 19

About the role

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 Forward Deployed Engineer to help build a new vertical from the ground up. You’ll be the first FDE 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.

Industry

AI/Training Data

Top skills for this role

  • 0-to-1 startup engineering
  • 2. Customer engagement ownership
  • 3. AI/ML training data domain

Languages

not specified

Frameworks & tools

not specified

AI / ML skills

not specified

Customer skills

Owning customer engagements and defining technical strategy

Domain knowledge

AI training data; data labeling

Travel: not specified
Equity: not specified

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