Jobs at PandaDoc

The Filmmaker at PandaDoc will manage all aspects of video production from concept to delivery, including shooting, editing, and collaborating with a team. They will also build AI-powered tools to enhance video production efficiency and manage a motion designer.

Lead PandaDoc’s content strategy and roadmap across formats (video, tools, webinars, customer stories). Partner with SEO, PMM, CX, and Brand Studio to produce and measure content that drives top-of-funnel attention and connects to pipeline and revenue. Set AI practices for content production, manage external contributors, and report performance to leadership.

Manages a mid-market and enterprise customer portfolio, building strategic relationships, guiding onboarding, driving product adoption, reducing churn, and supporting renewals and expansion. The role includes analyzing account metrics, leading escalations, developing success plans, collaborating cross-functionally, and using tools such as Salesforce, Planhat, Claude, Gong, and AI assistants to identify risks and opportunities.

Lead and scale PandaDoc's GTM technology stack and team, owning CRM architecture, integrations, workflow automation, data governance, change management, and roadmap to support Marketing, Sales, and CX.

Lead Support strategy and operations: provide data-driven insights, build 0-to-1 programs, own lifecycle intelligence, drive AI/automation adoption, plan capacity and budgets, create unified performance dashboards, and represent Support cross-functionally to execute OKRs and improve customer experience.

The Lifecycle Marketing Lead will oversee lifecycle campaigns, manage a team, drive strategy, use AI for efficiency, and build strong cross-functional partnerships to optimize customer engagement and retention.

Manage and develop a team of up to eight Account Managers across SMB and Commercial (EMEA), own forecasting, drive adoption, retention and growth, coach reps, collaborate cross-functionally, and lead sales initiatives with accountability, problem-solving, and value-based selling.

Own design and front-end implementation of PandaDoc's API and integrations, partner with product and research to set strategy, prototype AI-native patterns, build production-grade React components, and establish the Design Engineer function for the Embedded Agreements track.

Lead design-to-code efforts in the Growth track: rapidly prototype AI-native ideas into production-grade React surfaces, own layout/interaction/accessibility/performance, build reusable patterns and prompt libraries, and enable the team to ship faster.

Own conversion rate optimization and the web experimentation program for self-serve and sales journeys. Design, run, and analyze A/B, multivariate, and split-URL tests, drive personalization and agentic (AI) optimization, partner cross-functionally, and tie web conversion to pipeline and revenue.

Lead and develop an SMB sales team (up to 8 AEs): hire, coach, forecast, and drive revenue. Foster cross-functional problem solving, ownership, and value-based selling in a fast-growing B2B SaaS environment.

Build and maintain backend systems for real-time collaborative document editing: own content model and persistence, design event-driven pipelines, operate Python microservices at scale, improve reliability/observability, and ship end-to-end product features including AI-powered capabilities.

Build and maintain backend systems for real-time collaborative document editing. Own content model, data persistence, event-driven pipelines, and Python microservices. Improve reliability, observability, and performance; ship end-to-end features and support AI-powered document capabilities.

Design and operate backend systems powering real-time collaborative document editing. Own content model, data persistence, event-driven pipelines, and Python microservices. Build scalable, observable, and reliable infrastructure; ship end-to-end features; and contribute to AI-powered document workflows and operational excellence.

Design, build, and maintain backend systems for real-time collaborative document editing: own content model, persistence, event-driven pipelines, and Python microservices. Ensure reliability, observability, and ship end-to-end product features while supporting AI-powered capabilities.

Design and maintain backend systems for real-time collaborative document editing. Own content model and persistence, build event-driven pipelines, operate Python microservices at scale, ensure reliability and observability, ship end-to-end features, and contribute to AI-powered document workflow capabilities.

Lead design-engineering work on Growth: rapidly prototype AI-native interactions to production-grade React, own accessibility/performance/animation, create patterns and tools to enable designers, and measure impact by shipped outcomes and team velocity.

Lead design-engineering for Growth: rapidly prototype AI-native ideas into production-grade React, own layout/interaction/accessibility/performance, build patterns and tools to enable designers, and raise the quality bar for AI-assisted outputs.

Lead fast, production-grade prototyping from design to shipped React surfaces for Growth. Build reusable patterns, prompt libraries and AI-enabled tooling, own layout, interaction, motion, accessibility and performance, and enable the team to move faster with production-quality prototypes.

Lead design and front-end engineering for PandaDoc's API and integrations. Partner with product and research to set strategy, design AI-native patterns, prototype production-grade React components rapidly, and define the Design Engineer function while shaping developer and end-user experiences across integrations like Salesforce, HubSpot, ChatGPT, Claude, and MCP.