Member of Technical Staff - Data + Evals (Staff)

About BasisBasis 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 joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We've partnered with some of the largest accounting firms in the world, withrevenue 10x-ing over the last 5 monthsBe 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 1In 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 systemsHigh 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 begunCompensation: 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 tooLocation: NYC, Flatiron office. In-person team.About the roleAI systems require data in order to be monitored and evaluated and to be improved. The more agentic the system, the more sophisticated the system required to guarantee performance and continuously improve.You will own these systems. You will own data and evaluations across the platform, including overseeing data labeling strategy, synthetic data generation, experiment generation, etc.You will work closely with our research team to measure performance and with engineering to build out automated systems.Your systems will directly power our agents to complete complex accounting workflows, and the systems you build will allow us to tackle ever-increasing complexity. If building the fueling system for our AI agents excites you, apply to join us.We look for strong ability to manipulate data and run experiments, along with exceptional ability to understand business context, own projects, and communicate across disciplines. Experience with ML is a plus. PM experience is a plus, but not required by any means. What we look forExperienced: 5-10 years of data-heavy workflows (e.g., data science), experiment design, and managing projects; open to exceptional candidates with fewer years and evidence of exceptional abilityBusiness context: Quickly pick up context of business use case and can hold this context in mind as working through systemProject owner: Own projects from start to finish, including managing many dependenciesClear communicator: Precise and thoughtful communicator who can break complex concepts down to their fundamental elementsSystems-thinker: See how all the pieces fit together and develop abstractions to scaleInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scalePassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious: Love to play with new ideastechOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-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 generouslyIn 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.

Created: 2025-02-15