Eagle

Eagle

Member of Technical Staff

New York City · Staff+

Sponsorship not specified$150k-$300kDetected 110 days ago
LLMsRAGProduct StrategyCommunication

About the role

  • Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI.
  • As a Member of Technical Staff, you'll work directly with the founders to ship the initial iterations of our operating system that will power this transformation.

Responsibilities

  • then come back and build against what you saw
  • Own problems end-to-end from problem discovery to deployment to debugging in prod
  • Collaborate directly with the CTO on engineering culture, technical direction, and what we'll build next
  • Build and deploy the core layers of our platform: data connectors, document intelligence, and a structured knowledge store that gets richer with time
  • Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build
  • Is not above any task: Up to write the web scraper, help users leverage off-the-shelf tools, or build the plugin for Windows native AEC software

Skills

  • 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI.
  • That gap is the largest of any profession.
  • Has a deep curiosity for how things work (e.g., an organization, a workflow, a market)
  • Isn't afraid to expose their ignorance and is constantly asking why
  • Has the poise and communication skills to earn trust with people who've never worked with a tech company before

Compensation

  • Competitive cash compensation ($150K-$300K depending on experience)
  • In-person office in NYC

Benefits

  • Founding equity, scaled to scope
  • Full healthcare benefits

Company info

  • You get a front-row seat to building a company from zero-engaging with architecture decisions, firm acquisitions, and product strategy-on a problem domain that's barely been touched by AI.

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