What the role involves
About Accend
Accend is pioneering the next generation of AI-powered risk, compliance and underwriting automation tools for fintechs and banks. Our platform streamlines complex KYB (Know Your Business) processes using AI, allowing risk experts at fintechs to focus on excelling at compliance and acquiring new customers. Our KYB solution is trusted by industry leaders such as Pleo, Slope, and Rho. We graduated from the Y Combinator S23 batch and recently announced our $3.2M seed round led by Adverb Ventures with participation from Y Combinator, General Catalyst, 645 Ventures, and angels from Brex, Stripe, and Carta. Our founders, former leaders of Product & Engineering teams at Brex, unite over 25 years of experience from industry leaders such as Brex, Uber, Cisco, Deutsche Bank, Credit Suisse, and 500 dot com.
About the Role
Accend is seeking for a Full Stack Engineer who embodies a startup spirit and a growth mindset to join our team. In this role, you will collaborate closely with the founders and take ownership of our product from ideation to deployment. You will be responsible for building features that directly address customer needs, driving the development of our AI-driven compliance and underwriting solutions. This role offers an unparalleled opportunity to foster innovation in a dynamic Y Combinator backed company, significantly influence the application of AI technologies, and continually enhance your expertise in software engineering.
What You'll Do
Develop our web application to streamline customers’ back-office operations, customize KYB workflows and financial spreading.
Shape the user experience for our customer-facing LLM application.
Construct the backend service, public APIs, and 3rd party integrations for LLM based KYB workflow management system.
Build and enhance our LLM application, establishing a robust framework for observability, evaluation, and monitoring to ensure optimal production standards.
Basic Qualifications
A minimum of 2 years of experience in software engineering, including a background in designing, developing, and testing both client-side and backend code, coupled with a proven ability to work effectively within a team.
Proficiency in Software Design and Architecture, Data Engineering, and Modeling, ideally with experience in scaled Distributed systems.
Familiarity with modern web tools and frameworks (e.g., TypeScript, React) and backend programming languages such as Python, Java, and Golang.
A solid understanding of computer architecture and core CS principles, with an ability to uphold high standards for both yourself and your team.
Excellent communication and collaboration skills, with a knack for advocating for your ideas while remaining open to feedback and differing perspectives.
Comfort and adaptability in a fast-paced, early-stage startup environment.
Preferred Qualifications
A history of successful collaborations with experts in product, design, and operations.
Basic experience utilizing design tools.
Strong problem-solving and analytical abilities, with a deep understanding of algorithms, data structures, and complexity analysis.
Experience in developing machine learning models or infrastructures and familiarity with machine learning tools like pytorch or tensorflow.
At Accend, we welcome people from all backgrounds who seek the opportunity to help build a future where businesses can effortlessly scale their operations through intelligent, AI-powered workflow management solutions. We take pride in our diverse team and are dedicated to establishing a fair and inclusive work environment that mirrors the diverse population of the US. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward together.
What they ask for
About Accend
Accend helps commercial banks and fintechs underwrite business customers faster, win more deals and increase revenue. We provide an end-to-end platform to automate document intake, financial statement / tax spreading, cash flow modeling, credit memos and portfolio management, with audit-ready AI and human-in-the-loop accuracy. Companies like Corpay, Brex, Rippling, Rho, Column, Settle, and many others have reduced application processing time by 80% with Accend, significantly enhancing their credit underwriting efficiency Before starting Accend, the founders led Product & Engineering on the Risk team at Brex as well as at Deutsche Bank and Credit Suisse so they have firsthand experienced issues with operational efficiency in credit/underwriting teams. Accend has raised a $3.2M seed round from Y Combinator, Adverb Ventures, General Catalyst and 645 Ventures.
Full Accend profile