Engineering Manager, AI & App Experience

Chime Chime · Fintech · San Francisco, CA · AI & App Experience Engineering

Engineering Manager to lead a team building Jade, an AI-powered financial assistant, focusing on shipping LLM-powered capabilities, agent experiences, evals, guardrails, and observability for millions of members.

What you'd actually do

  1. Build, lead, and hire a high-caliber team of software engineers building Jade, while staying hands-on enough to guide technical direction
  2. Ensure technical decisions support our bar for quality, reliability, and safety, and map to team, organization, and company-level priorities
  3. Set team objectives in alignment with business goals, establish a sense of urgency and direction, and set clear expectations with the team and individuals
  4. Foster an AI-native engineering culture: champion AI-assisted development, set the quality gates that keep AI-generated output production-ready, and help the team turn one-off AI workflows into systems the whole team reuses
  5. Guide the team in shipping LLM-powered capabilities, from agent experiences and evals to the guardrails and observability that keep Jade reliable at the scale of millions of members

Skills

Required

  • 2+ years of people management experience
  • Experience as a software engineer
  • Python
  • Ruby
  • React Native
  • distributed systems
  • AWS services
  • service-oriented architectures

Nice to have

  • AI-native fluency
  • Experience shipping LLM-powered products (agents, evals, prompt strategies, or guardrails)

What the JD emphasized

  • AI-native fluency: you build with LLMs and AI tooling yourself, and you actively foster that practice across your team rather than treating it as someone else's job
  • Familiarity with the challenges of shipping LLM-powered products (agents, evals, prompt strategies, or guardrails)

Other signals

  • leading a team of engineers building AI-powered financial assistant
  • shipping member-facing AI capabilities at scale
  • setting the bar for how LLM-powered features get shipped safely
  • fostering an AI-native engineering culture