Senior Software Engineer, Seed

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. They are seeking a Senior Software Engineer for an AI platform that provides accounting firms with a team of AI assistants, where the engineer will build software systems, lead technical decisions, and shape the early engineering culture. The role involves significant ownership and collaboration with co-founders and the engineering team.

Responsibilities:

• Engineer software systems around sophisticated ML models
• Advance data architecture for accounting-related objects/concepts
• 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
• 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
• 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

Requirements:

• 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
• 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