Staff Software Engineer, Accounting

AngelListSan Francisco, CA
$240,000Hybrid

About The Position

$15.4 billion. 20,000 startups. That's the capital our platform has put to work — and every dollar of it runs through the Accounting team’s infrastructure. We’re the engine that keeps our entire financial platform clean, accurate, and battle-tested. This isn't a maintenance role. It's a builder role — one where AI-first thinking, financial rigor, and technical leadership converge to reshape how venture capital actually moves. This is a founding Staff Engineer opportunity. You will work closely with engineering leadership and cross-functional partners to drive technical excellence across teams. You’ll shape the architecture, define the standards, and push the platform toward a first-principles accounting system designed for self-serve configurability.

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.
  • 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.
  • Are comfortable in high-stakes, domain-rich systems. You may not know fund accounting today, but you’ve built systems where correctness is non-negotiable—financial, healthcare, infrastructure, or similar. You build deep domain expertise quickly by working closely with subject-matter experts.
  • 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.

Responsibilities

  • Transform our home-grown accounting system into a foundational primitive, defining the interfaces that other teams consume.
  • Define scalable accounting infrastructure, owning architectural decisions end to end and ensuring execution follow-through across the company.
  • Apply AI to address the long-tail of data integrity challenges; create reusable patterns for reconciling increasingly complex money movement.
  • Partner with engineering leadership to shape roadmaps, surface technical risk early, and ensure we are building the right things the right way.
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