Manager, Engineering (Nova)

Iterable•Boston, MA

2d•$156,000 - $242,000

About The Position

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! How you will make an impact: We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features. In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping 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, please do apply as we value applicants for the skills they bring beyond a job description.

Requirements

Have at least 5 years of hands-on software development experience.
Have 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.

Nice To Haves

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.

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.
Contribute to hiring and onboarding as the team grows.