Job description

Why Crucibl Management consulting is a $400B industry built on selling intelligence-for-hire. The model is breaking - not slowly, but now. The biggest frontier in enterprise AI isn't better models. It's judgment at scale: taking the messy, ambiguous decisions that run 85% of the global economy and making them faster, crisper, and more defensible. Crucibl is building that. We are growing fast and delivering for Fortune 500 clients. We raised a $10M seed from Tier 1 VCs - then kept growing on revenue. The client pipeline is full. We're scaling to meet it. What You'll Do Build the Core Product - Design and build the intelligence engine end-to-end: data ingestion, model orchestration, reasoning pipelines, API layers, UI integration - Own architecture across stack boundaries to support scalable, evolvable systems Partner with Founders - Collaborate on roadmap, trade-offs, and technical vision - Ship directly to enterprise clients - your work has immediate, measurable impact Set the Bar - Define what great engineering looks like in an AI-first organization - Raise the bar for the team as it grows Who You Are Must-Haves - At least one undeniable signal of excellence - built and shipped at a top tech company, early engineer at a startup that built something real, notable open source work, or top-tier CS program - Strong engineering fundamentals - distributed systems, data, or AI/ML; we're too small for hand-holding on the technical side - Shipped meaningful products end-to-end - not just features, but systems - Fluent in modern stacks; we care more about how you think than what you know Strong Signal - Built AI/ML pipelines or worked on LLM-powered products - Experience with enterprise data systems or analytics infrastructure - Has operated in a high-growth, high-ambiguity environment - Thinks like an owner - big picture, not just your part We're Not Looking For - Engineers who need a full spec before starting - ambiguity is the job - Coasters from large tech - we want people who shipped things that mattered, not maintained things that existed - Pure ML researchers without product instincts - we build for real clients, not benchmarks Who You'll Work With Our founders bring deep technology experience (Google-scale systems serving hundreds of millions of users) and domain expertise in high-stakes business decisions from top consulting and private equity firms. You'll be the connective tissue between these worlds, and between the company we are today and the company we're becoming. Benefits & Perks - Zero to Outcome: Seed stage means you shape the product, the culture, and the trajectory - not inherit them. - See Your Work Matter: No abstractions, no layers - you'll see exactly what you built and what it changed. - The People Around You: A small, elite team that will raise your game. We hire for exceptional, not just experienced. - Meaningful Equity: Every offer includes a comprehensive salary and equity package. - Hybrid Schedule: 3 days in-office with real flexibility around the rest. We care about output, not optics. - Full Health Coverage: Medical, dental, and vision. - Daily Lunch & Snacks: Fueled and focused, on us. Work Authorization Crucibl welcomes applications from candidates requiring visa sponsorship. Sponsorship eligibility is determined during the interview process. Crucibl is an equal-opportunity employer. We hire on merit and outcomes, and welcome applicants of every background.

Requirements

Must-haves

Crucibl is building that. We are growing fast and delivering for Fortune 500 clients. We raised a $10M seed from Tier 1 VCs - then kept growing on revenue. The client pipeline is full. We're scaling to meet it.
Build the Core Product
Design and build the intelligence engine end-to-end: data ingestion, model orchestration, reasoning pipelines, API layers, UI integration
Own architecture across stack boundaries to support scalable, evolvable systems
Partner with Founders
Collaborate on roadmap, trade-offs, and technical vision
Ship directly to enterprise clients - your work has immediate, measurable impact
Define what great engineering looks like in an AI-first organization
Raise the bar for the team as it grows
At least one undeniable signal of excellence - built and shipped at a top tech company, early engineer at a startup that built something real, notable open source work, or top-tier CS program
Strong engineering fundamentals - distributed systems, data, or AI/ML; we're too small for hand-holding on the technical side
Shipped meaningful products end-to-end - not just features, but systems
Fluent in modern stacks; we care more about how you think than what you know
Strong Signal
Built AI/ML pipelines or worked on LLM-powered products
Experience with enterprise data systems or analytics infrastructure
Has operated in a high-growth, high-ambiguity environment
Thinks like an owner - big picture, not just your part
We're Not Looking For
Engineers who need a full spec before starting - ambiguity is the job
Coasters from large tech - we want people who shipped things that mattered, not maintained things that existed
Pure ML researchers without product instincts - we build for real clients, not benchmarks
Who You'll Work With

Nice-to-haves

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