This is for a client of Recruiting from Scratch.

Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

https://www.recruitingfromscratch.com/

About Our Client

Our Client is an AI platform solving a unique finance use case.

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

Your role

Build

Engineer software systems around sophisticated ML models

Take ownership

Report directly to 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 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

What you have:

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

Salary Range: $100,000-$200,000 base.Equity. Medical, Dental, Vision.

https://www.recruitingfromscratch.com/