Manager, Engineering (Nova)

About the role

We are seeking an experienced Engineering Manager to lead the team responsible for building agency experiences and integrating AI-powered capabilities into the core Iterable application. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear 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 maintain a positive and inclusive work environment.

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

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Skills

• Strong leadership and management skills.
• Experience with Agile methodologies and DevOps practices.
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Experience with CI/CD pipelines and automation tools.
• Understanding of data privacy and security standards.

Benefits

• Competitive salaries, meaningful equity, and 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

This role is based in the United States and is full-time.