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Engineering Manager (Nova)
Iterable · San Francisco, United States
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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