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Scale AIScale AI

Engineering Manager, AgentOps

Leads engineering team building AgentOps platform for agent lifecycle management, deployment, monitoring, and improvement using RL workflows. Requires 5+ years experience, 2+ years managing engineers, and expertise in high-scale product delivery.

About the job

Responsibilities

  • Manage the engineering team and drive technical delivery
  • Comfortable working cross functionally, whether that be internal or external customers
  • Work across the entire product lifecycle from conceptualization through production
  • Build features end-to-end: back-end, system design, debugging and testing
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor engineers
  • Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Requirements

  • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
  • Proven success in leading, managing, and developing high-performing Engineering teams
  • Expertise in identifying product engagement patterns and trends for large scale consumer products
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and be able to work independently or as part of a team
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City

Skills

System Design, Backend Development, Debugging, Testing, Product Development, Team Management, Mentoring, Cross-Functional Collaboration, RLHF, LLMs

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