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 ClientOur Client is an AI platform solving a unique finance use case.Location: NYC, Flatiron office. In-person team.Your roleBuildEngineer software systems around sophisticated ML modelsTake ownershipReport directly to co-foundersOversee significant parts of our tech and productSet culture and practiceShape our early engineering culture and processesEvolve our approach on frontend infrastructure, web server design, abstractions, etc.Wear multiple hatsHelp 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 iterativelyWhat you have:Experience: 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.Experience with financial workflows: Worked with corporate financial data/products geared to finance professionalsNYC-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 pointsHiring: 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-endSalary and BenefitsSalary Range: $100,000-$200,000 base. Equity. Medical, Dental, Vision.
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