Skip to content
Senior Manager – Marketing Operations
| Company | Uber Freight |
|---|
| Location | United States |
|---|
| Salary | $113715 – $169455 |
|---|
| Type | Full-Time |
|---|
| Degrees | |
|---|
| Experience Level | Senior |
|---|
Requirements
- Minimum of 5+ years of direct experience managing a Marketing Automation Platform, including system architecture design, administration, and deployment
- Basic knowledge of HTML, HTML5, CSS for web development
- Proficiency in SQL
- Experience with Salesforce
Responsibilities
- Become the go-to authority for all technologies related to acquiring prospects and engaging customers, including but not limited to marketing automation, CRM lead management, ABM platforms, web platforms, and data analysis tools
- Take charge of the marketing technology portfolio, including tools like HubSpot, and ensure seamless integration with the broader organizational tech ecosystem in collaboration with IT
- Craft and refine core operational processes to enhance teamwork and communication between marketing and sales
- Ensure the marketing database and lead management systems are flawlessly maintained, with a keen eye on data integrity and workflow efficiency
- Proactively monitor and manage database quality, spearheading data segmentation, analysis, and enhancement initiatives to improve marketing precision and effectiveness
- Serve as a mentor and educator for the marketing team, promoting alignment, consistency, and adherence to best practices across the board. This includes collaborating with sales to enhance technology use and reporting
- Lead the charge in identifying and implementing process improvements within the global marketing team to boost operational efficiency and effectiveness
Preferred Qualifications
- Hubspot certification
- Extensive experience in data modeling and visualization, ideally within a CRM Analytics framework
- Experience with 6sense or other ABM platforms
- Experience with CMS, including headless CMS
- Experience with building API integrations
- Deep understanding of database architecture, along with data modeling and attribution principles
- Exceptional analytical skills, capable of turning complex data sets into actionable insights
- Excellent communication and team collaboration abilities, geared towards effective cross-functional teamwork
