Marketing Operations and Analytics Program Manager
Mapbox
| Company | Mapbox |
| Category | Data & Analytics |
| Location | Mapbox US |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (ashby) |
Description
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Marketing and Communications team at Mapbox is responsible for shaping the company's public image and promoting its cutting-edge location technology solutions. Through building strategic campaigns, high-quality content, and excellent documentation, the team effectively communicates Mapbox value to customers, prospects, developers, partners, and stakeholders. Our goal is to highlight product features, share customer success stories, and build brand awareness, showcasing Mapbox as the leading location technology company.
WHAT YOU'LL DO
As the Marketing Operations and Analytics Program Manager, you’ll work closely with the Customer Engagement, GTM Systems, and wider Marketing team. You will own the analysis that informs how Marketing builds, measures, optimizes and scales marketing programs to drive growth. You’ll be responsible for measuring and evaluating marketing performance, supporting demand generation and integrated marketing campaigns, informing strategic planning and budgeting, and enhancing overall marketing process, technology, and workflow.
We are seeking a forward-thinking Marketing Operations professional who can apply AI and machine learning to automate marketing workflows, optimize lead targeting and routing engines, and transform complex system data into predictive pipeline insights.
- Campaign Operations; Build, launch, QA, and measure campaigns across marketing automation and CRM systems, ensuring consistent campaign taxonomy, tracking, and reporting.
- Goal Setting and Reporting; develop and maintain measurement plans that contain benchmarks and goals for each upcoming program or campaign.
- Performance Measurement; monitor performance and marketing attribution of content, channels, and campaigns. Develop insights, make recommendations and implement continuous optimizations across funnel and lifecycle (MQLs, SQLs, pipeline).
- Data Infrastructure; own, maintain and improve our marketing data systems and reporting. Work with internal teams to manage the health of our database, automatic reports, and dashboards.
- Segmentation; manage list segmentation and scoring to deliver more targeted and relevant messaging to improve engagement and ultimately conversion of prospects.
- Lead Management; own the marketing side of lead management processes, including lead scoring and routing into sales systems.
- Data Management; work closely with internal teams to ensure data is syncing seamlessly across systems for accurate and up-to-date attribution, lead management, and reporting.
- Process Management; identify, design, and document scalable processes that enable the marketing team to be more effective and data-driven in daily work and drive alignment within the department and across teams.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- B2B Tech marketing experience with at least 5+ years of advanced experience with Hubspot, Google Analytics, and Salesforce.
- Strong analytical skills, able to draw insights and intelligence from marketing data.
- Demonstrated experience and comfort with web analytics, CRM tools, SQL, Google Sheets/Excel, and go-to-market systems.
- Proven experience leveraging AI tools and machine learning algorithms to automate complex workflows, optimize lead routing, and build predictive model frameworks.
- Ability to understand, assess, and implement lead scoring, lead nurturing, segmentation, personalization, and other
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