Stealth Startup | ONSITE NYC | Full-time
This startup is building the AI platform for corporate finance and starting in a clever niche. Its mission is to end-to-end automate key finance and accounting workflows. Corporate finance is one of the top 10 most common professions in the United State and plagued with error prone manual work. They believe that LLMs are going to transform professional services as we know it and corporate finance will be among the first professions to feel it. They raised a seed round earlier this year and are currently live with multiple large firms. They’re progressing rapidly and plan to raise a Series A in the next year. All positions are 5 days in office in Manhattan NYC.
To apply, send your resume to Email is hidden
Staff / Principal Engineer - $170k - $200k + meaningful equity
Seeking Staff+ level engineers to help them design and lead implementation of new modules. The abstractions for these new modules will form the foundation for the product’s future as they expand beyond their current core functionality.
This could be a good fit if:
- You’re an expert in designing powerful, extensible business logic
- You believe that LLMs are a leap forward in what’s possible with software and want to work with ML researchers on cutting edge applications of them
- You want to work at an ambitious, fast paced startup with high standards
- You enjoy building products from 0 to 1
Head of Engineering - $190k - $220k + meaningful equity
Seeking an engineering leader who can become an expert in the product by contributing as an individual contributor while taking on managerial duties and eventually scaling the team during the next funding round.
This could be a good fit if:
- You’re strong as a high level IC or very experienced in leading development of complex data-powered products
- You have experience managing engineering teams and want to build out a team from an early-stage
- You crave working with a high-caliber team and enjoy helping each person achieve their full potential
- You want to work on cutting-edge ML products (ML experience not required)