Senior Manager of Engineering

Who you are

• 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

What the job involves

• We are looking for a Senior Engineering Manager to lead the engineering groups responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This organization owns the critical application-facing development that turns emerging AI capabilities into reliable, highly scalable, and usable product features
• In this role, you will provide strategic direction and leadership to a growing organization of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces
• You will balance organizational leadership with high-level technical vision, helping teams deliver complex, high-impact features while defining roadmaps, navigating ambiguity, and driving architectural standards in a fast-moving product area
• This role sits within the broader Nova initiative and plays a strategic part in shaping the future of how intelligent experiences appear across the Iterable platform
• 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

Benefits

• Medical, Dental & Vision Insurance
• Life & Disability Benefits
• Flexible Spending Accounts
• Health Savings Accounts with Employer Contributions
• Premium Calm Membership
• Health and Fitness Stipend
• Paid Parental Bonding Leave
• Paid Sabbatical
• Internet and Mobile Phone Reimbursement
• Learning and Development Stipend
• Family Forming Benefits
• Paid Holidays
• Flexible Time Off
• Balance Days
• Private Medical Insurance
• Group Life Assurance & Income Protection
• Health and Fitness Stipend
• Premium Calm Membership
• Paid Parental Bonding Leave
• Paid Sabbatical
• Internet and Mobile Phone Reimbursement
• Learning and Development Stipend
• Family Forming Benefits
• Flexible Time Off
• Paid Holidays
• Balance Days
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance
• Balance Days
• Paid Annual Leave
• Paid Holidays
• Paid Sabbatical
• Teleworking Reimbursement