Engineering Manager, AI (Mailchimp) Full-time

Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide with TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Intuit Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multi channel campaigns, CRM, and analytics tools.

We’re looking for an Engineering Manager to work with a high performing group of software engineers and analysts creating paved paths for both classical machine learning and interaction with large language models.

In this position we seek someone excited to work with a dynamic, diverse group of engineers and managers who are all used to wearing multiple hats to get the job done. We will work with teams throughout the organization including the Analytics & Data Science Product Domain, Legal and Compliance, Marketing Analytics, Strategy Operations, and more. We seek someone comfortable with supporting requirement definition, continual prioritization, and the development of the operational processes supporting emerging machine learning and product capabilities.

We seek someone with an understanding of why and how diverse teams build better software and create better cultures. Data Engineering – ML is a team with a vibrant, supportive, empowered, inclusive and positive culture. We like to get things done and feel strongly about customer service and the value we bring to Mailchimp. An ideal candidate will understand the importance of that culture to the team’s productivity and overall benefit this has to Mailchimp as a whole.

Responsibilities

• Participate in and cultivate a culture of direct, compassionate feedback. Engage in a results-oriented work style, and encourage transparent communication. Facilitate effective collaboration and teamwork
• Coach and mentor decision making and problem solving and identify and sponsor growth opportunities for your team
• Work with the engineering department leadership to iterate on the strategic Data Services Roadmap
• Continually prioritize and assess the value proposition for each deliverable we’re investing in
• Lead and mentor a team of engineers working with a wide number of stakeholders and collaborators. Foster candid conversations around process and solutioning with a growing internal customer base
• Work with data scientists and product teams to experiment and create highly innovative and revenue-driving product capabilities
• Work cross functionally with Legal, Compliance, Data Science, ML Engineering, Support, Marketing and people teams to help define and scope their objectives while ensuring our solutions remain robust and scalable
• “Find a way.” Through cross-functional collaboration, technology challenges, and navigating new patterns.