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Engineering Manager (Nova)

Iterable · San Francisco, United States

External listingfull-time22 days ago

About The Role

Join Iterable as an Engineering Manager to lead a team focused on building AI-powered experiences and integrating them into the core application. You will guide a group of engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. This role requires strong technical judgment, people leadership, and the ability to navigate ambiguity in a fast-moving product area. You will collaborate closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.

  • Lead and support a team of engineers in building agentic and AI-enabled product experiences, ensuring high-quality feature delivery.
  • Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
  • Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction, and fostering strong engineering practices.
  • If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description
  • One of our core values is a growth mindset and Iterable is a company where everyone can grow
  • Experience leading teams that integrate AI or ML-powered capabilities into production systems
  • Strong technical judgment across system design, APIs, distributed systems, and developer workflows
  • Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives
  • Have at least 5 years of hands-on software development experience
  • Have at least 3 years of experience managing and growing software engineering teams
  • Comfort operating at the intersection of product, platform, and data science teams
  • Experience working with modern backend and frontend stacks
  • Excellent communication skills and ability to align technical work with business and product goals
  • Strong background in application or platform engineering, ideally in a SaaS environment
  • 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

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