Engineering Manager, Iterable

• One of our core values is a growth mindset and Iterable is a company where everyone can grow
• If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description
• Have at least 5 years of hands-on software development experience
• Have at least 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

Desirable

• We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application
• This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features
• In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces
• You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area
• This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform
• Lead and support a team of engineers building agentic and AI-enabled product experiences
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations
• Ensure AI-powered features are reliable, observable, secure, and ready for production use
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery
• Coach and mentor engineers, supporting career growth and healthy team dynamics
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals
• Contribute to hiring and onboarding as the team grows