"The most dangerous phrase in the language is: we've always done it this way." — Rear Admiral Grace Hopper, who invented the compiler and spent half her career dragging institutions into the computer age.

Hopper would have liked this job. The industry you'll be working in runs on software older than the internet. Our client thinks that's exactly backwards.

TWO THINGS TO CHECK BEFORE YOU READ ON

1. You have a bachelor's degree from a top-20 university. US top 20, or an international equivalent such as Oxford, Cambridge, LSE or Waterloo. This is a firm requirement, and a master's or MBA from a top school does not substitute for the undergraduate degree.

2. You can work with SQL and Python. You don't need to be an engineer, but you can pull your own data, write a query and script your way through an analysis. You use AI tools and coding agents daily.

If both are true, keep going.

WHO YOU'LL BE JOINING

An AI-native fintech with offices in Union Square, New York City, backed by Andreessen Horowitz, valued in the billions, and sitting on hundreds of millions of dollars in signed enterprise contracts that now need to go live. They have built an operating system for a complex, highly regulated corner of financial services, replacing decades-old legacy systems with a single platform that unifies workflows, data and money movement.

The company is over 220 people and has moved past "will this work" into "how fast can we roll it out". That shift is why this role exists, and why they're hiring ten of them.

WHAT YOU'LL ACTUALLY DO

You will own live enterprise deployments for some of the largest institutions in the country. Not advise on them. Own them.

Starting with a signed eight- or nine-figure contract, you will:

• Get inside the client's operation: sit with their teams, map how work really flows, query their data yourself and find the problems worth solving first.

• Configure the platform to fit, then drive adoption across teams who have been doing it the old way for twenty years.

• Partner with engineering and product to turn messy legacy processes into software that scales.

• Make calls with incomplete information. Every deployment is different, and nobody hands you a finished playbook.

• Then write the playbook. Build the tooling and processes, in SQL, Python and AI agents where they help, that make the next rollout faster than the last.

Travel is 10–20%, all domestic. Otherwise you're in the Union Square office three to four days a week. The stack is SQL, Python, AI coding agents and data warehousing.

WHO THEY'RE LOOKING FOR

• 3–6 years at a top-tier strategy consultancy (MBB), a leading investment bank, a private equity or hedge fund, or a fast-scaling startup in the mould of Scale AI.

• Top-20 undergraduate degree. See above. Firm.

• SQL + Python, plus hands-on AI fluency. You can talk concretely about what you've built, automated or analysed.

• Builder's instincts. You've created a process, framework or tool from nothing because nobody else had, and it stuck.

• High agency and comfort in ambiguity. You'd rather figure out what's true than wait to be told.

• Tenure. A track record of staying and getting promoted.

Already in New York, or willing to relocate (assistance available).

WHAT'S IN IT FOR YOU

• Base up to US$240K, with meaningful equity (RSUs or options, monthly vesting after a one-year cliff) and sign-on bonuses available.

• A trillion-dollar industry, nine-figure contracts, and real operational change you can measure.

• Hybrid in Union Square, most people in Tuesday to Thursday. Lunch and dinner on office days. Dog-friendly office. Relocation support up to $10K.

• Visa transfers (OPT, H-1B) welcome.

• A four-step process: strategic thinking interview, executive screen, then a panel with a take-home review and live case study. Early rounds are self-scheduled.

WHY NOW

The people who join this cohort will shape how every future rollout is run. In two years there will be a playbook; right now there is you.

Apply with your CV, or reach out directly for a confidential discussion.

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