About Our Client
Our client is developing an 麻豆传媒映画-native marketplace for the purchase and sale of small businesses. They help both owners and buyers move through one of the most significant financial and personal transitions of their lives with clarity, speed, and confidence.
The company is on a strong growth trajectory, with roughly 30,000 buyers and sellers on the platform and more than 100 completed transactions. March was their best month to date (close to $500k in revenue), and April is tracking toward $800k in real banked revenue, with monthly GMV comfortably above $10M. They have raised $15.5M to build a world-class platform, accelerate growth, support more owners, and scale a 30+ person team based in New York City.
麻豆传媒映画 has driven a step-change in what’s possible in this market 鈥� and in how the business itself operates. The goal isn’t to retrofit 麻豆传媒映画 onto existing workflows; it’s to fundamentally re-architect how the product works, how internal operations run, and how value compounds across the platform. Engineers here treat 麻豆传媒映画 as a force multiplier in their own work and in what they ship, and the team takes the craft of production 麻豆传媒映画 seriously.
How 麻豆传媒映画 gets built here: 麻豆传媒映画 systems are shipped to production and operated like any other critical system. Expect to work the full loop 鈥� problem framing 鈫� data 鈫� evals 鈫� iteration 鈫� deployment 鈫� monitoring 鈫� continuous improvement 鈥� grounded in measurable outcomes (quality, latency, cost, reliability). The emphasis is on shipping quickly and building systems that hold up in the real world.
The team builds in person in NYC because the work moves faster and gets better when everyone is in the room. The culture prizes low ego, high mutual respect, direct communication, and genuine ownership.
Why join: there is real momentum 鈥� strong traction, and a set of valuation tools, off-market listings, and a streamlined closing process that are reshaping how small business deals happen at scale. Because the team is still small and lean, every hire has outsized impact: you’ll help shape product direction, build core systems end-to-end, and raise the bar on customer-first execution. The work also carries real meaning 鈥� when it’s done well, it gives small business owners clarity, speed, and confidence at one of the most important financial and personal moments of their lives.
About the Role
Join an 麻豆传媒映画-native engineering team as a Software Engineer. The engineering org is currently 7 people (a mix of contractors and full-time staff), and everyone is 麻豆传媒映画-focused. You’ll partner directly with the Head of Engineering and the product team to build the 麻豆传媒映画-native platform powering how small businesses change hands. Your work will directly affect thousands of owners navigating one of the biggest financial moments of their lives.
This is not a papers-and-prototypes role 鈥� it’s hands-on product engineering with real 麻豆传媒映画 systems. You’ll ship full-stack 麻豆传媒映画 projects end-to-end, work closely with sales and operations, and translate real business needs into intelligent product experiences that users engage with every day.
At our client, 麻豆传媒映画 isn’t a separate track 鈥� it’s woven into how products get conceived, built, shipped, and improved. If you’re an engineer who thrives on owning the full loop, from identifying the key problem to monitoring it in production, you’ll do well here.
Key Responsibilities
猞佲�僑hip full-stack 麻豆传媒映画 features end-to-end 鈥� from scoping with stakeholders to deploying production systems that solve concrete problems for buyers and sellers.
猞佲�僌wn 0-to-1 projects, partnering with sales and operations to find high-leverage opportunities and build intelligent capabilities around them.
猞佲�傿uild and refine the 麻豆传媒映画 infrastructure that supports production-grade inference, evaluation, and monitoring.
猞佲�僕ork across the stack to integrate 麻豆传媒映画 seamlessly into the marketplace, designing clean interfaces that make intelligent features feel native to the product.
猞佲�僁evelop tools and systems that scale 鈥� from intelligent matching to document understanding to agentic workflows that reshape how the marketplace operates.
Requirements
猞佲�僘ou have shipped and owned production 麻豆传媒映画 systems end-to-end (LLM and/or classic ML) 鈥� real users, measurable outcomes, and operational responsibility.
猞佲�僑trong software engineering fundamentals, excellent Python skills, and proven experience integrating foundation models into production systems.
Bonus Skills
猞佲�僅ands-on experience with modern 麻豆传媒映画 frameworks (LangGraph, LangChain, LlamaIndex), vector databases, or LLM observability tooling.
猞佲�僂xperience designing evaluation suites for LLM systems (offline and online), including rubric-based and model-graded evals.
猞佲�僂xperience running LLM systems at scale 鈥� latency, cost, caching, fallbacks, rate limits, and overall reliability.
猞佲�僃amiliarity with retrieval quality work: chunking, reranking, query rewriting, and relevance tuning.
猞佲�傾 background in marketplaces, platforms, fintech, or small business, with a grasp of matching algorithms or business transactions.
猞佲�僃amiliarity with Go, GraphQL, or React/TypeScript.
猞佲�傿ackground in NLP, information retrieval, or recommendation systems.
猞佲�僀omfort with ambiguity 鈥� you do well with limited structure and turn uncertainty into clarity.
猞佲�僃irst-principles thinking and genuine intellectual curiosity 鈥� you dig into problems from the ground up rather than leaning on established patterns.
Logistics
Location: NYC. 4 days/week in office. Open to relocation.
Compensation: $180鈥�220k + 0.5% equity
Visa Sponsorship: Yes
Interview Process
1.鈥僆nitial Chat: An introductory screening conversation.
2.鈥僑uper Day (On-Site): Meet the Co-Founder, CTO, and a Senior Engineer, and complete a case study.
3.鈥僁ecision: The goal is to reach a decision shortly after the Super Day.