Remote Senior Engineering Manager, AI Coaching

JoinStartup

United States

Remoto

USD 180.000 - 240.000

Tempo pieno

7 giorni fa
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Descrizione del lavoro

Omada Health seeks a Senior Engineering Manager to lead AI-powered coaching squads, guiding architecture and delivery from prototype to production. The role emphasizes hands-on work with AI agents and agent workflows, while mentoring managers and coordinating across squads.

You will partner with Product Strategists to define scope, drive performance metrics, and improve cycle times, ensuring reliable, scalable coaching experiences for users across the platform.

Competenze

  • Experience leading multi-disciplinary software teams.
  • Strong background in AI agent design and evaluation.
  • Proven ability to ship reliable production code for coaching/agent workflows.

Mansioni

  • Own member experience for AI-driven coaching (goal setting, food guidance, reflection) running 24/7
  • Manage multiple engineering squads from prototype to production including on-call rotation
  • Make prioritization and capacity allocation decisions across squads
  • Ship production code off critical path in agent workflows alongside direct reports
  • Review architecture and provide technical guidance on AI agent design and LLM evaluation
  • Grow and develop engineering managers and tech leads reporting to you
  • Partner with Product Strategists on scope and delivery accountability
  • Improve cycle time and measure squad health and performance

Conoscenze

Ruby on Rails
Python
React
Swift
Kotlin
PostgreSQL
GraphQL
AWS
Docker
Kubernetes
AI agents
LLM evaluation
CI/CD
Datadog

Strumenti

AWS
Docker
Kubernetes
PostgreSQL
GraphQL

Descrizione del lavoro

Omada Health seeks a Senior Engineering Manager to lead AI-powered coaching squads, guiding architecture and delivery from prototype to production. The role emphasizes hands-on work with AI agents and agent workflows, while mentoring managers and coordinating across squads.

You will partner with Product Strategists to define scope, drive performance metrics, and improve cycle times, ensuring reliable, scalable coaching experiences for users across the platform.

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