Manager, Engineering (nova)

Iterable Iterable · Enterprise · Atlanta, GA +6 · Engineering

Engineering Manager to lead a team building agentic experiences and integrating AI-powered capabilities into a customer engagement platform. The role involves guiding frontend, backend, and applied engineers on conversational workflows, orchestration layers, and AI-enabled product surfaces, balancing people leadership with technical judgment to deliver high-quality features.

What you'd actually do

  1. Lead and support a team of engineers building agentic and AI-enabled product experiences.
  2. Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
  3. Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
  4. Ensure AI-powered features are reliable, observable, secure, and ready for production use.
  5. Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.

Skills

Required

  • 5 years of hands-on software development experience
  • 3 years of experience managing and growing software engineering teams
  • Strong background in application or platform engineering, ideally in a SaaS environment
  • Experience leading teams that integrate AI or ML-powered capabilities into production systems
  • Comfort operating at the intersection of product, platform, and data science teams
  • Strong technical judgment across system design, APIs, distributed systems, and developer workflows
  • Experience working with modern backend and frontend stacks
  • Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives
  • Excellent communication skills and ability to align technical work with business and product goals

Nice to have

  • Experience leading teams building agentic or LLM-powered product experiences
  • Familiarity with agent frameworks such as Mastra or similar orchestration tools
  • Prior work on decisioning engines, rules engines, or real-time personalization systems
  • Experience collaborating closely with Data Science and ML teams on production integrations
  • Background in marketing technology or customer engagement platforms
  • Experience scaling teams and systems in a remote-first environment

What the JD emphasized

  • building agentic experiences
  • integrating AI-powered capabilities
  • agent workflows
  • orchestration logic
  • AI-powered features
  • leading teams building agentic or LLM-powered product experiences

Other signals

  • building agentic experiences
  • integrating AI-powered capabilities
  • translating AI capabilities into scalable, user-facing experiences
  • leading teams building agentic or LLM-powered product experiences