Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as 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.
Job Overview
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.
Qualifications

• Enjoy defining processes and operation across a wide customer base utilizing the same tools and data
• You have a strong understanding of Cloud Data Infrastructure (Google Cloud Platform / AWS)
• You're a strong written and verbal communicator, able to distill and convey complex ideas to audiences with varying levels of technical depth
• Experience working with cross functional teams
• Desire to work in a highly-collaborative environment, and actively contribute requirement definition, roadmap planning, team-level office hours, etc.

Mailchimp leaders are empathetic and drive equity and inclusivity in our space. The focus of this team will stretch across multiple languages and tools, but we're looking for leaders who will foster open communication between team members and our customers. We seek leaders skilled in collaboration, persuasion, and mentorship and who rarely resort to authority. We are also interested in candidates who may be looking for their first leadership role within an engineering organization.
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.