Join Crucibl as a Member of Technical Staff to build AI-driven products that impact Fortune 500 clients directly.
Posted by employer 4 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 17 hours ago
Skills & Technologies
Role intensity
70% hands-on coding
AI in the day-to-day
Design and build the intelligence engine end-to-end, including AI/ML pipelines.
Requirements
Not disclosed in this posting: compensation.
Benefits
Joblaze summary
In this role, the Member of Technical Staff at Crucibl will design and build the core intelligence engine, overseeing everything from data ingestion to UI integration. The position requires strong engineering fundamentals, particularly in distributed systems and AI/ML, along with a proven track record of shipping meaningful products. Ideal candidates are those who thrive in high-growth environments and possess a strong sense of ownership over their work. The team is small and elite, providing an opportunity to shape both the product and the company culture.
Joblaze insights
Quick facts
From the original posting
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
Benefits & Perks
Zero to Outcome: Seed stage means you shape the product, the culture, and the trajectory - not inherit them.
Full Health Coverage: Medical, dental, and vision.
Standard company text repeated across Crucibl's postings is omitted here.
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