Senior Software Engineer, Seed

Your Role

Engineer software systems around sophisticated ML models

Advance data architecture for accounting-related objects/concepts

Take ownership

Report directly to co-founders

Oversee significant parts of our tech and product

Lead technical decision making on accounting specific features and abstractions, as well as integrations with existing accounting tools

Set culture and practice

Shape our early engineering culture and processes

Serve as source of subject matter expertise for rest of engineering team

Evolve our approach on frontend infrastructure, web server design, 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?

We are in particular looking for engineers who either were accountants in their previous career and/or have experience working with accounting data. We are open to a variety of backgrounds.

Essentials

Accounting background: CPA in past life, or spent time working on accounting data/software

Experience: 5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experience

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.

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.

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

We expect the majority of the candidates who are offered roles to fall healthily within the range based on these factors: Salary range: $100,000 - $200,000 annually