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Iterable

Senior Manager, Engineering – Nova

Iterable

Senior Engineering Manager leading teams that build agentic AI experiences for Iterable’s customer engagement platform. Defining architecture, roadmaps, and enterprise-scale engineering practices.

Posted 8/5/2026full-timeRemote • California, Colorado, Illinois, Massachusetts, New York • 🇺🇸 United StatesSenior💰 $189,500 - $290,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading and scaling engineering teams while driving the technical architecture of AI-enabled products. Proficient in integrating complex AI capabilities into production systems and aligning cross-functional teams to deliver scalable user experiences.

Highest-signal resume keywords
8+ Years Software Development Experience5+ Years Engineering Team ManagementSaaS System ScalingAI/ML Integration ExperienceExecutive Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Application EngineeringPlatform EngineeringSystem DesignAPI DevelopmentDistributed SystemsBackend DevelopmentFrontend DevelopmentTechnical ArchitectureCode Quality StandardsIterative Delivery
Soft Skills
LeadershipMentoringCollaborationStrategic DirectionCommunication
Tools & Technologies
MastraLangChainAI Product ExperiencesDecisioning EnginesRules EnginesReal-Time Personalization Systems
Industry Keywords
AI-Enabled ProductsSaaS EnvironmentEngineering PracticesCross-Functional InitiativesRemote-First Environments

Tech Stack

Tools & technologies
Distributed Systems

About the role

Key responsibilities & impact
  • Lead and scale multiple engineering teams or a large, multi-disciplinary pod building agentic and AI-enabled product experiences
  • Partner with Product, Design, and Data Science leadership to define the technical roadmap and prioritize initiatives
  • Translate AI capabilities into scalable, user-facing experiences
  • Drive the technical architecture and design of agent workflows, orchestration logic, and application integrations
  • Establish standards for reliable, observable, secure, enterprise-scale AI-powered features
  • Lead complex cross-functional initiatives while balancing product delivery with long-term technical direction
  • Champion engineering practices for code quality, system resilience, testing, and iterative delivery
  • Coach, mentor, and sponsor senior engineers, technical leads, and potentially engineering managers
  • Collaborate with principal engineers, data teams, and platform architecture groups on interfaces and dependencies
  • Drive hiring, headcount planning, and onboarding strategies as the AI engineering organization scales

Requirements

What you’ll need
  • At least 8+ years of hands-on software development experience
  • At least 5+ years of experience managing, scaling, and leading software engineering teams
  • Strong application or platform engineering background
  • Proven track record scaling systems in a SaaS environment
  • Experience integrating complex AI or ML capabilities into production systems
  • Expertise aligning product, platform, and data science teams
  • Technical judgment across system design, APIs, distributed systems, and developer workflows
  • Experience overseeing engineering work across modern backend and frontend stacks
  • Ability to define strategic direction, make pragmatic trade-offs, and drive execution across concurrent initiatives
  • Excellent executive communication skills
  • Bonus: experience managing engineering managers or multiple autonomous squads
  • Bonus: experience with agentic, LLM-powered, or generative AI product experiences
  • Bonus: familiarity with Mastra, LangChain, or similar orchestration tools
  • Bonus: leadership experience with decisioning engines, rules engines, or real-time personalization systems
  • Bonus: collaboration with Data Science and ML teams on production integrations and model deployment pipelines
  • Bonus: marketing technology or customer engagement platform background
  • Bonus: experience scaling engineering teams and systems in remote-first or distributed environments

Benefits

Comp & perks
  • Competitive salaries
  • Meaningful equity
  • 401(k) plan
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Community Impact Days (additional paid holidays)
  • Fertility & Adoption Assistance
  • Paid Sabbatical
  • Flexible PTO
  • Monthly Employee Wellness allowance
  • Monthly Professional Development allowance
  • Pre-tax commuter benefits
  • Complete laptop workstation
  • Variable pay (where applicable)
  • Health & fitness stipends
  • Learning & development stipends