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Eagle

Eagle - Founding Member of Technical Staff

New York City, New York, United States$150k - $300k3mo ago
RemoteStaffNAArtificial IntelligenceStaff EngineerCTOTechnical WriterReportingCompoundPlane

Responsibilities

• Embed with staff at engineering firms alongside the founders; 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 • What we look for • 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 • Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build • Is willing to get on a plane with us: It's critical at this stage that we physically embed ourselves within the businesses we acquire. Travel will always be purpose-based with the founders, and roughly M-Th 2-3 weeks/month during the first 100 days of our early acquisitions. • Has experience or interest in LLMs, Agent Frameworks, RAG, browser automation, or doc parsing • 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

Benefits

• Our core thesis: 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. Our plan is to close it by acquiring real engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions. • As a Member of Technical Staff, you'll work directly with the founders to ship Cortex — the data platform that powers everything we do. You'll be embedded alongside practicing engineers, building systems that make institutional knowledge searchable, automate QA, and generate engineering deliverables from templates and data. • Competitive base salary ($150K–$300K depending on experience) • Meaningful early-stage equity • In-person office in NYC with team meals, fast iteration cycles, and real user exposure

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