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The Principal Product Designer will define the design direction and strategy for the Document Domain at PandaDoc, focusing on enhancing user experiences, mentoring design team members, and promoting user-centered design principles. This role involves hands-on design execution and collaboration across teams to ensure usability and innovation.

As a Senior Python Engineer at PandaDoc, you will be responsible for managing features and improvements, maintaining application architecture, collaborating with engineering and other teams, and contributing to agile development processes using the company’s tech stack.

As a Staff Frontend Engineer, you will lead the development of the product editor, focusing on architecture, design, and implementation. You will enhance the front-end codebase's quality and performance while mentoring engineers and managing stakeholder communications. Your role emphasizes clean code practices, technical excellence, and participation in knowledge-sharing events.

The Senior Python Engineer will join the AI feature team at PandaDoc to develop AI-driven solutions. Responsibilities include leading full solutions lifecycle, owning infrastructure and services, maintaining code quality, and collaborating with other engineering teams.

As a Python Engineer at PandaDoc, you'll take ownership of features and improvements, collaborate with product teams, and help maintain application architecture using a tech stack that includes Python and AWS. You'll focus on delivering scalable, secure, and reliable product solutions in a collaborative environment.

The role involves designing and implementing solutions focused on growth monetization and expansion, collaborating with product managers and engineers, conducting research and data analysis, and developing designs and prototypes to enhance user experience and drive measurable business outcomes.

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.