Job ID
5
Pay ($/year)
N/A
Level
Senior
Employment
HQ Location
New York City, NY, USA
Good to know
High bounty
Probation period, days
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