Member of Technical Staff - Agent Management

New York Office

Basis

AI agents built specifically for accountants

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About Basis

Basis equips accountants with a team of AI agents to take on real workflows.

We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.

Built in New York City. Read more about Basis here.

Why join
  • World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive list

  • Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months

  • Be part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1

  • In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems

  • High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun

  • Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too

📍 Location: NYC, Flatiron office. In-person team.

About the role

Natural language is the new code. You will be responsible for architecting the system that underpins the prompts we use to program LMs.

You will work closely with our research team to determine ideal prompt structures, iterate on tools to automatically improve context & instructions, and build internal evaluation systems to constantly monitor performance. Your systems will directly power our agents to complete complex accounting workflows, and the tooling you build will allow us to tackle ever-increasing complexity. If building the core language of our AI agents excites you, apply to join us.

An engineering background is a plus, but not required. We look for exceptional reasoners, strong writers, and systematic thinkers. Experience with LLMs, or an interest in information theory is a requirement.

Read more about agent management here

What we look for
  • Strong logical reasoner: Able to break complex concepts down to their fundamental elements and reason from there

  • Facility with language: Clear and precise written communicator

  • Interdisciplinary: Willing and interested to jump across multiple disciplines

  • Company-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scale

  • Passionate: Genuinely excited about our tech and its impact on accounting, finance, and economy

  • Curious: Loves to play with new ideas/tech

  • Office lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC

  • All-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously

In accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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Category: Leadership Jobs

Tags: Engineering Finance FinTech LLMs Machine Learning Research

Perks/benefits: Competitive pay Equity / stock options Startup environment

Region: North America
Country: United States

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