About Basis

Basis is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate Basis as part of their team, delegating core workflows and automating time-consuming, manual work.

We closed a multi-fold oversubscribed seed round backed by top VCs last summer and are already in use at several leading, large accounting firms in the US.

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

Your role

Build

• Engineer software systems around sophisticated ML models

Take ownership

• Work directly with the co-founders

• Oversee significant parts of our tech and product

Set culture and practice

• Shape our early engineering culture and processes

• Evolve our approach on backend infrastructure, web server design, core abstractions, etc.

Wear multiple hats

• Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility

• Balance long-term thinking and smart abstractions with shipping fast and iteratively

Are you the one?

Essentials

• Experience: 5-10 years of experience in the field; open to exceptional candidates with fewer years and evidence of exceptional ability

• First principles reasoner: Ability to break complex concepts down to their fundamental elements and then build from there

• Autonomy: Exercise a high-degree of autonomy and technical authority

• Flexibility: Willing and interested to jump across multiple disciplines

• Team-first mentality: you are interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentored

• Passion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economy

• Curious about latest AI: Experimented with ChatGPT, etc.

• Experience with financial workflows: Worked with corporate financial data/products geared to finance professionals

• NYC-based: Seeking in-person environment; working from office most days of week

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

• A little something extra: You know it when you see it

Bonus points

• Hiring: A knack for spotting and recruiting engineering talent

• Data science: Hands-on experience with data science projects

• Machine learning: Experience training models or building ML-ops systems

• Fintech APIs: Experience with foundational fintech APIs e.g., Quickbooks, Plaid, etc.

• Accounting: Practical knowledge of accounting principles.

• Product ownership: Experience owning a product end-to-end