Member of Technical Staff

Crucibl

$150K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven track record of excellence in top tech firms or impactful startups.
  • Solid understanding of distributed systems, data, or AI/ML engineering principles.
  • Experience shipping entire products, not just features.
  • Familiarity with modern tech stacks and an emphasis on problem-solving skills.
  • Experience building AI/ML pipelines or LLM-powered products is a plus.

Responsibilities

  • Design and develop the intelligence engine from data ingestion to UI integration.
  • Manage architecture to support scalable and adaptable systems.
  • Collaborate with founders on product roadmap and technical vision.
  • Deliver products with tangible impact for enterprise clients.
  • Establish high engineering standards in an AI-focused environment.

Benefits

  • Influence product, culture, and future direction in a seed-stage company.
  • Experience the direct impact of your work without middle layers.
  • Work alongside a highly skilled and motivated team.
  • Receive meaningful equity as part of your compensation package.
  • Enjoy a hybrid work schedule with flexibility.
  • Comprehensive health coverage including medical, dental, and vision.
  • Daily lunch and snacks provided for team nourishment.
Full Job Description
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.

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