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The Localization Project Manager will oversee localization projects across Marketing and Product, working with cross-functional teams to build processes and manage resources. Responsibilities include driving localization for international product launches and marketing initiatives, optimizing budget, and coordinating with vendors and internal stakeholders.

As a Senior Marketing Data Analyst at PandaDoc, you will analyze marketing campaigns, provide insights for improvement, create marketing data models in collaboration with Data Engineering, and develop reporting structures in Tableau. You'll partner with stakeholders to identify growth opportunities and design attribution models for B2B.

The Developer Marketing Manager will build and lead the developer marketing program at PandaDoc, focusing on driving API usage and retention through strategic campaigns. Responsibilities include crafting developer strategies, launching communities, managing end-to-end marketing campaigns, optimizing content, and advocating for the developer experience.

The CPQ Solutions Engineer at PandaDoc acts as a technical resource to bridge sales and technology, supporting revenue teams by providing technical advice, delivering demos, documenting client use cases, and resolving customer issues. They collaborate with various departments to enhance customer experience and drive long-term success.

As an Enterprise Account Manager at PandaDoc, you will manage expansion sales and customer retention within a designated book of business. Responsibilities include identifying upsell opportunities, negotiating renewals, maintaining relationships with clients, and collaborating cross-functionally. You will also utilize CRM tools for forecasting and planning, and conduct product demonstrations to drive customer engagement and retention.

The Senior Product Marketing Manager at PandaDoc will define go-to-market strategies, engage with various teams across Product, Marketing, and Sales, develop insights, create marketing content, and manage complex projects to ensure successful product launches and customer engagement.

The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.