Hybrid Staff Software Engineer, Funds

at AngelList

• Job title: Staff Software Engineer, Funds
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, San Francisco, United States

About the role

• Staff Software Engineer at AngelList defining the architecture of the new GP dashboard and product decisions. Working closely with customers and PMs, focusing on eliminating operational friction using AI.

Responsibilities

• 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