Frontend Engineer, Agent Collaboration Platform

Hebbia
New York City; San Francisco, CA$160k – $300kPosted 7 April 2026

Job Description

About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock , KKR , Carlyle , Centerview , and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. The Team The Agent Collaboration Platform team at Hebbia builds the interactive scratch-pad, analysis, and content creation tools for Agents. Our flagship product, Matrix, is a generative spreadsheet that leverages our ISD process to coordinate complex agentic workflows across thousands of documents. We pair a simple, elegant interface—where users can kick off complex multistep document workflows—with a real-time, high-throughput LLM execution engine capable of processing the equivalent of 100 Harry Potter novels per second. Together, we turn massive, unstructured document repositories into seamless, actionable intelligence. The Role As a Frontend Software Engineer on the Agent Collaboration Platform team, you’ll play a critical role in shaping the user experience of our core products. Our biggest challenge is building agentic interfaces that provide enterprise control with consumer simplicity. You’ll be responsible for owning major product features end-to-end: from early design collaboration through to implementation, testing, and launch. You’ll work closely with a tight-knit, cross-functional team of engineers, designers, product managers, and domain experts to architect and ship sleek, scalable interfaces that help our users solve incredibly complex workflows — without the complexity. Responsibilities Be an owner . We are a small and growing team relying on each and every engineer to provide significant coverage. Build without prior art. Agentic interfaces do not have templates or pre-existing guidelines to rinse and repeat - you will be setting the standard for an industry. Own critical system components. Take complex requirements and turn them into robust, scaled solutions that solve real customer needs. Unlock meaningful customer value. Our customers aren’t using Hebbia for the gimmick - they unlock market moving value. You will be responsible for unlocking this Alpha. Who You Are Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred. 5+ years software development experience at a venture-backed startup or top technology firm. Proficiency in React, Typescript, and popular frontend frameworks for component design and state management. Deep expertise in one or multiple: full-stack development, frontend engineering, web development, UX/UI engineering. Knowledge of cloud platforms and application deployment platforms (e.g., AWS, Vercel) Demonstrated awareness of best practices in UI architecture and development Problem-solving and analytical skills: Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders. Leadership and teamwork: Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a colla ... (truncated, view full listing at source)
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