Staff Software Engineer, Funds

🕒 March 31

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AngelList

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💸 Finance

💳 Fintech

☁️ SaaS

💰 $44M Series B on 2022-04

Finance • Fintech • SaaS

AngelList is a platform that caters to the needs of startups, venture capitalists, and private equity investors. It provides a comprehensive suite of software solutions for venture fund management, including rolling funds, syndicates, and full-service fund management options. AngelList aims to streamline operations by offering tools for equity management, investor relations, and financial services. Additionally, it facilitates capital management, seamless onboarding, and cap table management for high-growth companies. Through its partnerships with industry leaders, AngelList delivers high-quality services and insights into the venture capital market, driving innovation and bridging market gaps.

📋 Description

• Define the architecture of the new GP dashboard as we rebuild it from the ground up - setting the foundational patterns the team reaches for as the experience scales to institutional funds. • Own the product-level decisions that determine what self-serve looks like for institutional GPs, working closely with PMs and customers to shape **what** gets built, not just **how**. • Identify where AI can eliminate operational friction in fund management workflows. Turn multi-step processes that currently require an operator into something a GP can do in seconds. • Drive technical direction across the boundaries between Funds and adjacent systems (LP onboarding, subscriptions, treasury) so that the GP experience is coherent end-to-end. • Raise the ceiling of a small, high-ownership team through design reviews, architectural patterns, and the kind of judgment that makes senior engineers around you better.

🎯 Requirements

• Have operated at staff level or equivalent. You are highly autonomous, have had impact beyond your immediate team, and have a track record of architectural decisions that held up as systems scaled. • Are as comfortable on a customer call as in a systems design review, able to understand what a GP actually needs and ship it without a lengthy handoff chain. • Have demonstrated a multiplier effect on engineering teams. You’ve been the person who defined the patterns a team reached for—and the team was measurably better for it. • Have a deep love of startups, having worked at one (or potentially started one). The domain is part of the job. • Have strong hands-on coding ability. You write production code regularly, review others’ work rigorously, and have no interest in becoming a purely advisory engineer. • Are curious about AI as applied infrastructure—not hype, but genuine interest in where it can make financial workflows more accurate, more automated, and more trustworthy.

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development