Sphinx Defense

Sphinx Defense

Chief of Staff

San Francisco · Exec · Contract

Sponsorship not specified$20k-$100kDetected 63 days ago
RESTMachine LearningAgentic AICustomer Success

About the role

  • tl;dr: We're automating compliance for banks and fintechs with AI agents that work like human analysts.
  • If you're the person who makes everything around them run better, we should talk.
  • BACKGROUND Before you can move money or open an account, someone has to make sure you're not a criminal.

Responsibilities

  • Your job is to take what's on the founder's plate and either own it outright or drive it far enough that the final decision is the only thing left.
  • You might be preparing materials for a bank deal, building out a hiring process, coordinating a product launch, running a partnership evaluation, or tightening internal operations.
  • You'll shape the roles, set the bar, and create the processes that let Sphinx scale without losing quality.
  • You identify what matters, break it down, and drive it to completion seamlessly.

Compensation

  • 🗺️ Annual offsite

Benefits

  • 🏥 Comprehensive healthcare
  • 🏝️ Unlimited PTO (last one in Mexico)!

Company info

  • Banks spend $50B a year hiring thousands of analysts to review alerts and fill out reports by hand.
  • The space has seen very little innovation, and customers complain about our most well-funded competitors weekly.
  • It's not glamorous - until you realize you're building the intelligence layer that protects the entire financial system.
  • You'll learn how a hyper-technical company scales from 2 to 20 to 100 people, sitting at the intersection of AI, fintech, and enterprise operations.
  • Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks.
  • The rest of our team in SF includes PhDs, industry experts, and competitive coders.
  • You want to see your work move the company forward - every day.

This listing is sourced directly from Sphinx Defense's careers page and normalized into a canonical job model.