Marketing Technology Manager, Lead Operations at Box in New York, NY
- Company: Box
- Location: New York, NY, United States
- Salary: $115K – $172K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-13
Job description
WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU We're looking for a Marketing Technology Manager to shape the strategy and day-to-day execution of how leads move from Marketing to Sales Development. You’ll own the systems and processes that support lead qualification, routing, and follow-up, while using performance data to identify gaps and guide improvements. You’ll administer LeanData and Outreach, partnering with Lead Generation and teams across Marketing, Sales, and Operations to build a scalable lead operations model. You’ll define and set priorities and operating standards, while managing MQL processing and lead routing to support accurate, timely handoffs and consistent follow-up. WHAT YOU'LL DO Set and evolve the strategy for Lead Operations, aligning lead lifecycle processes and technology with Marketing and Lead Generation priorities. Own the roadmap and day-to-day administration of LeanData and Outreach, including workflow configuration, troubleshooting, and ongoing optimization. Oversee MQL processing and lead routing, ensuring leads are handled accurately, assigned appropriately, and delivered to the right teams. Monitor MQL volume, processing, routing, and follow-up; investigate delays or errors quickly and coordinate resolution with the teams involved. Establish routing and follow-up standards that support timely, consistent lead engagement. Guide Outreach best practices, supporting consistent and effective use of sequences by the Lead Generation team. Track lead performance, routing accuracy, follow-up, and data quality; turn findings into recommendations and concrete improvements. Be a strategic partner with Lead Generation to define shared goals, resolve process friction, and improve accountability. Gather requirements, implement system and process changes, document updates, and support their adoption. Identify opportunities to simplify workflows, improve data quality, and scale Lead Operations as business needs evolve. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 7+ years of experience in marketing operations, revenue operations, or a related field, with hands-on expertise in marketing automation platforms (Marketo certification preferred). You bring 3+ years of experience managing lead management processes, including lead scoring, routing, and lifecycle programs in a B2B SaaS environment. You have deep experience with Salesforce CRM and a strong understanding of how marketing and sales systems integrate to support pipeline generation. You are proficient in data analysis and reporting, with the ability to translate complex data sets into clear, actionable insights for stakehol
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