Member of Technical Staff - Research

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're profitable, 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

Push the Frontier of Judgment

• Research how frontier models reason through ambiguous, high-stakes business decisions - and where they fail
• Design novel methods for reasoning, evaluation, and calibration that go beyond standard benchmarks
• Translate open problems in reasoning, uncertainty, and multi-step decision-making into approaches we can test and ship Build Evaluation That Matters
• Define what "good judgment" looks like for a model, and build the evaluation frameworks to measure it
• Design experiments that reveal real failure modes, not just leaderboard scores
• Turn findings into concrete recommendations for the product and applied teams Partner with Founders
• Shape technical vision and roadmap alongside the founding team
• Bring outside research thinking into a company solving a problem few labs are focused on Set the Bar
• Define what rigorous, applied research 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 - published research at a top venue, research role at a frontier lab, or a track record of novel technical contributions
• Deep understanding of how LLMs reason, fail, and can be evaluated - this isn't a theoretical interest, it's core to the job
• Strong fundamentals in ML, statistics, or NLP - we're too small for hand-holding on the technical side
• Comfortable moving from open-ended research question to a testable hypothesis quickly Strong Signal
• Experience designing evaluation frameworks or benchmarks for reasoning, decision-making, or agentic systems
• Published or shipped work on uncertainty, calibration, multi-step reasoning, or LLM evaluation
• Has operated in a high-growth, high-ambiguity environment
• Thinks like an owner - big picture, not just your part We're Not Looking For
• Researchers who need a clean, self-contained problem before starting - ambiguity is the job
• Pure benchmark-chasers - we care about judgment that holds up with real clients, not just leaderboard gains
• Researchers without product instincts - your work needs to change what we build and ship, not sit in a paper -- but we are open to publishing work! 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.