Senior Engineering Manager, AI-Powered Platform

Iterable

New York (NY)

On-site

USD 190,000 - 290,000

Full time

14 days+

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Benefits offered by this job

Competitive salaries
401(k) plan
Medical, dental, vision
Flexible PTO
Paid Sabbatical
Professional development allowance

Job summary

Iterable is seeking a Senior Engineering Manager to lead frontend, backend, and applied engineers building agentic AI-enabled experiences within the Nova initiative. You will set technical roadmaps, drive architectural standards, and ensure reliability at scale in a fast-moving SaaS environment.

You'll partner with Product, Design, and Data Science to translate AI capabilities into scalable, user-facing features while guiding multi-disciplinary teams to success.

Qualifications

  • At least 8+ years of hands-on software development experience.
  • At least 5+ years of experience managing, scaling, and leading software engineering teams.
  • Experience leading teams that integrate AI or ML capabilities into production systems.
  • Strong judgment across system design, APIs, and distributed systems.

Responsibilities

  • Lead and scale multiple engineering teams building agentic and AI-enabled product experiences.
  • Define the technical roadmap with Product, Design, and Data Science leadership.
  • Drive architecture for agent workflows and integrations.
  • Establish standards for reliable, observable, secure enterprise features.
  • Hire, mentor, and develop engineering managers and senior engineers.

Skills

Engineering leadership
8+ years software development
5+ years managing teams
SaaS architecture
AI/ML integration
APIs & distributed systems
Frontend & Backend stacks
Executive communication

Education

Bachelor's degree in CS or related

Tools

Mastra
LangChain

Job description

Iterable is seeking a Senior Engineering Manager to lead frontend, backend, and applied engineers building agentic AI-enabled experiences within the Nova initiative. You will set technical roadmaps, drive architectural standards, and ensure reliability at scale in a fast-moving SaaS environment.

You'll partner with Product, Design, and Data Science to translate AI capabilities into scalable, user-facing features while guiding multi-disciplinary teams to success.

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