ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets.
Founders: Early GPU cloud (9 figure exit).
Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels.
Design and implement core quantitative systems for allocation, risk, and optimization in complex, real-world environments.
Formulate and analyze multi-objective optimization problems (e.g., risk/return, constraints, transaction and implementation frictions) and turn them into robust, solvable formulations.
Develop simulation, backtesting, and evaluation frameworks to understand system behavior under varying regimes and stress scenarios.
Collaborate closely with engineers and product to integrate quantitative logic into reliable, maintainable services and APIs.
Prototype new approaches quickly, run experiments, and iterate based on empirical results.
Establish standards for model quality, validation, monitoring, and numerical stability in production systems.
Document assumptions, constraints, and design rationales so the broader team can build on your work.
Strong quantitative background (e.g., mathematics, physics, computer science, operations research, statistics, or similar).
Deep expertise in at least one of: optimization (convex/non-convex), stochastic processes, numerical methods, or quantitative finance.
Experience designing and implementing quantitative or algorithmic decision systems (research + production, not just toy models).
Proficiency in Python and familiarity with scientific/ML tooling (NumPy, JAX/PyTorch, Pandas, etc.); experience with a systems language (C++/Rust/Go) is a plus.
Ability to reason from first principles, simplify complex objective spaces, and choose the right level of modeling detail for the problem.
Track record of turning mathematical ideas into clean, reliable, well-tested code that can run in production.
Comfort working with real-world data (noisy, incomplete, biased) and building pipelines and checks around it.
Habit of staying current on advances in optimization, quantitative methods, and AI tools—and using those tools (Cursor, Copilot-style assistants, etc.) to increase velocity while keeping code quality high.
Why Join ATG
We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you.
Work on AI with a massive market opportunity
Early team of repeat founders backed by top investors
High agency, talent dense, zero bureaucracy
Autonomous is a superintelligent financial advisor at 0% advisory fees.
Today, managing your money means one of two bad options:
DIY your money: You end up with accounts everywhere (401k, IRAs, brokerage, crypto, savings, equity, secondaries). Your spreadsheet is always wrong. You make expensive mistakes because this isn't your full-time job.
Hire a financial advisor: They'll manage your money and charge 1-2% of assets annually. Run that math over multiple decades and you're handing over half your net worth to fees.
Neither path can economically deliver the sophisticated, personalized strategies the ultra-wealthy use to compound wealth: strategic tax-loss harvesting across individual securities, systematic risk management, portfolio-backed borrowing to defer capital gains, access to alternatives, etc.
These aren't secret – they're just economically impossible to deliver at scale through traditional human advisors.
Robos were supposed to fix this, but they were designed in a pre-AI world. In practice they just manage cookie-cutter portfolios. They don’t coordinate across your 401(k), taxable accounts, mortgage, equity, and cash flow, they don’t help with real decisions like job offers, windfalls, or concentrated stock, and they don’t deliver institutional strategies. That’s why, even after a decade plus, the biggest robos are still <$100B AUM while old-school advisors like Raymond James / Edward Jones sit on trillions.
We’re doing for financial advising what Robinhood did for brokerages. Think of it as a full-stack, AI-native wealth strategist that brings billionaire-style playbooks to ordinary investors.
Autonomous is built around a frontier-scale reasoning engine—an AI that perceives global events as they unfold, understanding their deeper implications for markets and and most importantly, how these events will impact your investments.
Salary
$200,000 - $300,000
Location
New York City / San Francisco, CA, US
Experience
3+ years
Total raised
$15.0M
Last stage
Pre-seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.