Recruiting from Scratch
Senior Software Engineer, Seed
Recruiting from Scratch, Redwood City, California, United States, 94061
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.
Our Client:
Our client is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate our client as part of their team, delegating core workflows and automating time-consuming, manual work. We recently closed a multi-fold oversubscribed - and yet unannounced - seed round backed by top VCs. Our client is 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 modelsAdvance data architecture for accounting-related objects/concepts
Take Ownership:
Report directly to co-foundersOversee significant parts of our tech and productLead 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 processesServe as source of subject matter expertise for rest of engineering teamEvolve 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 responsibilityBalance 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/softwareExperience: 5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experienceAutonomy: Exercise a high-degree of autonomy and technical authorityFlexibility: Willing and interested to jump across multiple disciplinesTeam-first mentality: you are interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentoredPassion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious about latest AI: Experimented with ChatGPT, etc.NYC-based: Seeking in-person environment; working from office most days of weekAll-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 generouslyA little something extra: You know it when you see itBonus Points:Hiring: A knack for spotting and recruiting engineering talentData Science: Hands-on experience with data science projectsMachine Learning: Experience training models or building ML-ops systemsFintech APIs: Experience with foundational fintech APIs e.g., Quickbooks, Plaid, etc.Product Ownership: Experience owning a product end-to-endWe 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.
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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.
Our Client:
Our client is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate our client as part of their team, delegating core workflows and automating time-consuming, manual work. We recently closed a multi-fold oversubscribed - and yet unannounced - seed round backed by top VCs. Our client is 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 modelsAdvance data architecture for accounting-related objects/concepts
Take Ownership:
Report directly to co-foundersOversee significant parts of our tech and productLead 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 processesServe as source of subject matter expertise for rest of engineering teamEvolve 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 responsibilityBalance 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/softwareExperience: 5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experienceAutonomy: Exercise a high-degree of autonomy and technical authorityFlexibility: Willing and interested to jump across multiple disciplinesTeam-first mentality: you are interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentoredPassion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious about latest AI: Experimented with ChatGPT, etc.NYC-based: Seeking in-person environment; working from office most days of weekAll-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 generouslyA little something extra: You know it when you see itBonus Points:Hiring: A knack for spotting and recruiting engineering talentData Science: Hands-on experience with data science projectsMachine Learning: Experience training models or building ML-ops systemsFintech APIs: Experience with foundational fintech APIs e.g., Quickbooks, Plaid, etc.Product Ownership: Experience owning a product end-to-endWe 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.
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