Staff Software Engineer, Frontend

F2 is the AI platform for private markets investors. Purpose-built for private credit, private equity, and commercial banks, F2 helps teams evaluate deals over 70% faster. Already trusted across thousands of deals, F2 makes collaboration easy and retains historical context, so past work compounds into future wins.

F2 accelerates private market investors’ workflows, streamlining the screening, underwriting and portfolio management processes. It connects data from financial models, data rooms, and 3rd party data to automate complex analysis, surface insights faster, and generate investor-grade, IC ready materials in minutes.

Headquartered in New York City, F2 is backed by leading investors including NFX, Left Lane Capital, and Y Combinator.

The Role:

We are seeking a hands‑on Frontend Tech Lead who thrives in building from 0‑1 and driving execution, directly contributing production‑level code while shaping our core technical foundation. You will collaborate closely with the founding team to architect, develop, and scale F2’s AI‑driven enterprise UI platform.

What you’ll do:

• Hands‑on UI system building. Architect and implement foundational frontend infrastructure and features, actively coding and delivering critical React/TypeScript components from scratch.
• Own the frontend architecture. Define and execute the technical vision and multi‑year roadmap for our React‑based UI platform, ensuring rapid iteration and effective scaling of user‑facing experiences.
• Design for performance, security, and accessibility. Build high‑performance, responsive interfaces that meet SOC 2 and accessibility requirements, with a focus on maintainability and cost‑efficiency.
• Integrate AI at the UI layer. Collaborate with our team to integrate intelligent agents, data visualizations, and interactive tools that surface AI‑driven insights within the application.
• Establish frontend engineering excellence. Set and uphold coding standards, component library conventions, and review processes; mentor engineers to foster a culture of reliable, test‑driven frontend development.
• Cross‑functional collaboration. Partner with product, design, backend, and enterprise customers to translate requirements into elegant UI solutions and deliverables.

What you bring:

• Hands‑on technical leadership. 7+ years building and scaling mission‑critical frontend systems in TypeScript and React, with demonstrated experience architecting from the ground up.
• Practical API design expertise. Deep experience designing and consuming RESTful and GraphQL APIs, including state management and efficient data‑fetching strategies.
• Execution‑driven mindset. You thrive in environments where you own features end‑to‑end, iterate rapidly, and deliver production‑ready UI solutions.
• Familiarity with CSS‑in‑JS (e.g. Styled Components, Emotion) or utility‑first frameworks (e.g. Tailwind), as well as Next.js, Webpack, and frontend performance profiling.
• Passionate builder who enjoys solving complex UI challenges and iterating toward clear, impactful goals.

F2 is an agentic AI platform, purpose-built for private markets investors, where the data is complex, unstructured, and high-stakes.

Our core challenges are transforming massive volumes of unstructured deal data (PDFs, spreadsheets, documents, emails) into structured, investment-grade analysis using modern AI systems. We combine deep domain-specific modeling with human-in-the-loop workflows that bring real interpretability and reliability to financial AI.

We’re tackling hard problems in:

-Building agents: context-engineering for a leading financial analysis agent -Document intelligence: text and table understanding, and multimodal retrieval -Contextual embeddings for finance-specific reasoning -LLM orchestration, evaluation, and safe generation -High-performance data pipelines for ingesting and structuring private-markets data

Stack: Next.js / React + Python and FastAPI, PostgreSQL for persistence, and a mix of vector and analytical stores for retrieval and aggregation. We deploy on AWS with containerized workloads, and our ML infrastructure integrates open-source LLMs and retrieval systems tuned for domain-specific accuracy and latency.

If you want to build AI that actually understands the messy real-world data that drives trillion-dollar markets, this is it.