Manager, Engineering (Nova)

About the role

We are seeking an experienced Engineering Manager to lead a team focused on building agency experiences and integrating AI-powered capabilities into the core Iterable application. This role is part of the broader Nova initiative and plays a key part in shaping intelligent experiences across the Iterable platform.

Responsibilities

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Create and manage hiring and onboarding processes as the team grows.

Requirements

• At least 5 years of hands-on software development experience.
• At least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven track record of successful team management and leadership.
• Experience with agile methodologies and continuous integration/continuous deployment (CI/CD).
• Knowledge of cloud platforms and infrastructure (AWS, GCP, Azure).
• Experience with version control systems (Git).
• Experience with DevOps practices and tools (Docker, Kubernetes).
• Experience with CI/CD pipelines and automated testing.

Skills

• Experience with AI and machine learning technologies.
• Experience with natural language processing (NLP) and conversational AI.
• Experience with agent frameworks such as Mastra or similar orchestration tools.
• Experience with decisioning engines, rules engines, or real-time personalization systems.
• Experience with data modeling and database design.
• Experience with API design and RESTful services.
• Experience with front-end web development using JavaScript, React, or Angular.
• Experience with back-end web development using Node.js, Python, or Ruby.
• Experience with containerization and orchestration tools (Kubernetes, Docker Swarm).
• Experience with monitoring and logging tools (Prometheus, ELK Stack).
• Experience with observability and APM tools (Datadog, New Relic).

Benefits

Competitive salaries, meaningful equity, and a 401(k) plan. Medical, dental, vision, and life insurance. Balance 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 $156,000 - $242,000. 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.

Schedule

Full-time, remote position.