Search the 49 jobs at PandaDoc

The Principal Product Manager at PandaDoc will lead the strategic direction of the Document Domain, focusing on the Editor. Responsibilities include defining product vision, collaborating with cross-functional teams, conducting user research, driving product roadmaps, and leveraging data for decision-making to enhance user experience and business outcomes.

As a Staff Frontend Engineer, you will lead the development of the document editor, manage stakeholder communications, mentor other engineers, and push for excellence in coding practices while building scalable web applications using modern front-end technologies.

As a Senior Python Engineer at PandaDoc, you will enhance the reliability of the document domain, contribute to agile development processes, and take ownership of application architecture features. Collaboration with other teams and delivering high-quality scalable solutions are key responsibilities.

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 Product Marketing Manager at PandaDoc will define and execute product and go-to-market strategies, develop customer audiences, collaborate across teams, create engaging content, and analyze data to improve product adoption and market success.

As a QA Team Lead, you will manage and mentor a team of Web QA engineers, lead technical agendas for automation testing, develop test plans, and align QA strategies with the Web Engineering leadership. Responsibilities include overseeing test coverage, guiding release planning, and engaging in performance and reliability testing.

As a QA Team Lead, you will lead the QA team in web engineering, managing automation testing, developing test plans, and collaborating on quality strategies. You will mentor QA engineers, oversee test coverage and execution, and improve bug flow processes while ensuring quality in various projects.

As a Senior Frontend Engineer, you will develop product solutions within the Revenue Solutions track, collaborating with team members to write and maintain code. Your role includes participating in the full application lifecycle and understanding product requirements, while advocating for best practices and improved features.

The Frontend Engineer will collaborate with teammates to write and maintain code, contribute to the application lifecycle from concept to release, and support the product vision, driving customer engagement and optimizing user experiences.

The Global Compensation Analyst will engage in market pricing analysis, compensation strategy development, and administration of pay procedures. Responsibilities include conducting internal compensation analysis, supporting salary review processes, and developing HR data analytics dashboards using tools like Google Sheets and Tableau.

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.

The Principal Product Manager (AI) will lead AI initiatives at PandaDoc, developing strategies for AI features that improve workflow and customer experience. This role involves collaborating with engineering and data science teams, conducting user research, defining KPIs, and mentoring product teams to drive the adoption of AI solutions.

The Principal Product Manager (AI) at PandaDoc will lead AI initiatives, defining strategies for AI-driven features, collaborating across teams, managing the end-to-end development process, and optimizing AI solutions. This role focuses on enhancing customer experience, simplifying workflows, and delivering measurable business value through innovative AI capabilities.

As a Principal Product Manager (AI) at PandaDoc, you will lead AI initiatives to enhance the platform through innovative solutions. Your responsibilities include developing a roadmap for AI features, collaborating with engineering teams, conducting user research, and driving product adoption with data-driven insights.

As a Senior Python Engineer at PandaDoc, you will take technical ownership of features, build application architecture, and drive collaboration with product managers and engineers. You will utilize a tech stack including Python, Microservices, and AWS to create scalable and high-quality solutions.

The Senior Python Engineer will take ownership of application features, building and maintaining architecture, and collaborates with product managers and engineers to drive domain excellence in the Monetization area at PandaDoc.

As a Lead Platform Engineer at PandaDoc, you will define and implement automation strategies, optimizing workflows and reducing manual efforts for product teams. Your responsibilities include leading a team, enhancing CI/CD pipelines, and ensuring the infrastructure supports the entire software development lifecycle effectively. You'll work closely with various teams to identify bottlenecks and improve development environments.

As a Senior Python Engineer at PandaDoc, you will participate in the full development process, build and maintain application architecture, and collaborate with product managers. The role involves working with both monolithic and service-oriented architectures, primarily using Python and Java, while ensuring high-quality code delivery.

As a Senior Python Engineer at PandaDoc, you will develop tools and frameworks to optimize service operations and communication, enhance deployment processes, and promote engineering best practices. You'll work with a tech stack including Python and Java and collaborate closely with product teams to drive innovation and quality.