Note: The job is a remote job and is open to candidates in USA. Iterable is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale. They are seeking a Senior Engineering Manager to lead engineering groups responsible for integrating AI capabilities into their core application, providing strategic direction and leadership while balancing organizational leadership with high-level technical vision.
Responsibilities
- Lead and scale multiple engineering teams (or a large, multi-disciplinary pod) building agentic and AI-enabled product experiences
- Act as a strategic partner to Product, Design, and Data Science leadership to define the technical roadmap, prioritize initiatives, and translate AI capabilities into scalable, user-facing experiences
- Drive the overarching technical architecture and design of agent workflows, orchestration logic, and application integrations
- Establish the standards to ensure AI-powered features are reliable, observable, secure, and ready for enterprise-scale production use
- Spearhead execution across complex, cross-functional initiatives, balancing short-term product delivery with sustainable, long-term technical direction
- Champion and elevate strong engineering practices around code quality, system resilience, testing, and iterative delivery across the broader engineering organization
- Coach, mentor, and sponsor senior engineers, technical leads, and potentially other engineering managers, actively supporting their career growth and ensuring a healthy, inclusive team culture
- Collaborate strategically with principal engineers, data teams, and platform architecture groups to align on system interfaces, resolve organizational dependencies, and achieve shared business goals
- Drive hiring, headcount planning, and onboarding strategies as the AI engineering organization scales
Skills
- Have at least 8+ years of hands-on software development experience
- Have at least 5+ years of experience managing, scaling, and leading software engineering teams
- Strong background in application or platform engineering, with a proven track record of scaling systems in a SaaS environment
- Experience leading teams that integrate complex AI or ML-powered capabilities into production systems
- Demonstrated expertise in building alignment and operating seamlessly at the intersection of product, platform, and data science teams
- Exceptional technical judgment across system design, APIs, distributed systems, and developer workflows, with the ability to guide teams through complex technical decisions
- Experience overseeing engineering work across modern backend and frontend stacks
- Ability to thrive in ambiguity, define strategic direction, make pragmatic trade-offs, and drive execution across multiple concurrent initiatives
- Excellent executive communication skills and the ability to articulate how technical work maps to overarching business and product goals
- Experience managing engineering managers or leading multiple autonomous squads
- Experience leading teams building agentic, LLM-powered, or generative AI product experiences
- Familiarity with agent frameworks such as Mastra, LangChain, or similar orchestration tools
- Prior leadership work on decisioning engines, rules engines, or real-time personalization systems at scale
- Experience collaborating closely with Data Science and ML teams on complex production integrations and model deployment pipelines
- Background in marketing technology or customer engagement platforms
- Experience successfully scaling engineering teams and systems in a remote-first or distributed environment
Benefits
- Meaningful equity
- 401(k) plan
- Medical, dental, vision, & 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)
- Equity
Company Overview
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