Senior Manager, Engineering (Nova)

About the role

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.

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, we value applicants for the skills they bring beyond a job description.

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.

Requirements

• At least 8+ years of hands-on software development experience.
• 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.

Nice to have

• 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

• Competitive salaries, 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

Pay

The US base salary range for this position at the start of employment is $189,500 - $290,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial.