Senior Marketing Operations Manager

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely worldwide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a Senior Marketing Operations Manager who will play a pivotal role in our evolving marketing function. This opportunity involves contributing to strategic projects, and identifying areas for future innovation and growth. This role is instrumental in optimizing our lead management, ensuring data integrity, and empowering our marketing and sales teams with seamless processes and actionable insights to enhance our account-centric lead-to-revenue funnel. This is a full-time, hybrid position based in San Francisco or Washington, D.C. metro which will require you to work from one of these offices 3 days per week. Impact You'll Own: Contribute to the strategic roadmap for future MarTech innovation, including recommendations for tool replacement, addition, and leveraging AI to further streamline efficiencies and enhance personalization. Leverage MarTech data and analytics to proactively identify buying signals, and enable timely, personalized customer engagements. Lead the setup and optimization of new marketing automation tools and other critical integrations (e.g., Qualified, conversational AI platforms) to enhance real-time engagement and lead qualification. Develop and maintain scalable, next-generation account-based engagement processes, focusing on smooth progression and conversion for high-value accounts. Collaborate with marketing stakeholders to engineer a robust top-of-funnel customer/user engagement model, leveraging our full marketing and automation tool suite. Identify and implement solutions to address continuous database growth challenges, ensuring optimal data health and performance. Design and implement data flows and automation to eliminate friction, duplication, and lags throughout the sales process caused by inefficient or poorly integrated systems. Develop and deliver comprehensive training materials and sessions to ensure seamless user adoption of new tools, and processes for marketing, sales, and RevOps teams. Create essential MOPs playbook and customer journey documentation. Provide ongoing support and expertise to users across the organization. Collaborate closely with Revenue Operations, Sales, Product, Engineering, and Design teams to ensure consistent data flow, accurate reporting, and efficient, scalable processes across the entire revenue engine. What You Bring: 10+ years in Marketing Operations within a B2B SaaS or technology environment. Direct experience with at least one major Marketing Automation Platform (MAP) such as Marketo, HubSpot, or Pardot and integrated tools that exist within a MarTech ecosystem. Expertise with Salesforce CRM is required, including experience with custom objects, reports, dashboards, lead/contact management. Advanced analytical skills with a proven ability to interpret data, identify trends, and translate insights into actionable recommendations. Solid understanding of lead scoring, lead routing, and lead lifecycle management. Familiarity with data management concepts; exposure to data warehousing (e.g., BigQuery) or large dataset handling. Experience in leveraging AI/ML concepts for marketing operations (e.g., for lead scoring, personalization, or automation). Hands-on experience managing and prioritizing multiple, and sometimes conflicting initiatives simultaneously in a fast-paced, evolving environment. Experience in contributing to strategic roadmaps for MarTech innovation, including recommendations for tool replacement/addition, workflow optimization, and AI/automation readiness. Ability to develop and implement streamlined funnel models for both traditional and ABM strategies, translating strategic goals into operational processes. Benefits While Working at Planet: Comprehensive Medical, Dental, and Vision plans. Health Savings Account (HSA) with a company contribution. Generous Paid Time Off in addition to holidays and company-wide days off. 16 Weeks of Paid Parental Leave. Wellness Program and Employee Assistance Program (EAP). Home Office Reimbursement. Monthly Phone and Internet Reimbursement. Tuition Reimbursement and access to LinkedIn Learning. Equity. Commuter Benefits (if local to an office). Compensation: The US base salary range for this full-time position at the commencement of employment is $144,500 - $180,600 USD for San Francisco and $127,000 - $158,700 USD for US National. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

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