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ChimeChimeNew York, NY

Engineering Manager, AI & App Experience

Lead and grow a team of engineers building Jade, Chime's AI-powered financial assistant. Guide development of LLM-powered member-facing features while fostering an AI-native engineering culture. Requires software engineering background, 2+ years people management, and hands-on AI/LLM experience.

199k – 275k
Hybrid5+ YOEEngineering Management

About the role

Responsibilities

  • Build, lead, and hire a high-caliber team of software engineers building Jade, while staying hands-on enough to guide technical direction.
  • Ensure technical decisions support our bar for quality, reliability, and safety, and map to team, organization, and company-level priorities.
  • Set team objectives in alignment with business goals, establish a sense of urgency and direction, and set clear expectations with the team and individuals.
  • 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.
  • 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.
  • Work closely with Product, Design, Data Science, and Risk to launch precise, member-first solutions.
  • Coach and grow engineers around project execution, skill development, and career progression.
  • Encourage innovation and foster an environment of continuous improvement, where the team takes smart risks.
  • Ensure the team maintains strong on-call, monitoring, and incident-response practices for the systems it owns.
  • Contribute to overall engineering initiatives as a member of Chime's engineering leadership community.

Requirements

  • Experience as a software engineer, with depth in relevant tech (e.g., Python, Ruby, React Native, distributed systems, AWS services, and service-oriented architectures) and a deep empathy toward engineering happiness.
  • 2+ years of people management experience, including coaching engineers on project execution, skill development, and career progression.
  • 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), or a strong drive to come up to speed quickly.
  • Experience ensuring technical decisions support quality, performance, scalability, reliability, and security.
  • Interest in pushing the technology, people, and organization envelope to find new ways to deliver for our members.
  • A fascination with how to make teams and people thrive, and the ability to motivate a team through delivery on aggressive schedules and goals.
  • Enjoyment in learning and diving into the deepest levels of how things work.

Compensation

  • Base salary: $199000 - $275000.
  • Eligible for bonus, competitive equity package, and benefits.

Skills

PythonRubyReact NativeAWSDistributed SystemsLLMsAI ToolsPrompt EngineeringEvalsGuardrailsObservability
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