Jobs at PandaDoc

Manage a portfolio of Commercial customers, driving revenue growth, renewals, retention, and expansion. Build strategic client relationships, conduct account health reviews, forecast revenue, maintain CRM data, demonstrate PandaDoc’s value, and communicate customer feedback to Product. Collaborate with Customer Success, Legal, Accounting, Marketing, and Product while consistently achieving account growth and retention targets.

Own and grow a portfolio of solutions partners, managing strategic relationships, recruitment, onboarding, co-selling, partner-sourced revenue, account mapping, deal reviews, and enablement. Build joint partner plans, drive pipeline and quota attainment, coordinate with sales and customer success teams, and create scalable playbooks and training programs using AI. The role requires strong commercial judgment, relationship management, partner development, and experience in SaaS partnerships or channel sales.

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.

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.

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 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.

Lead design and engineering for PandaDoc's API and integrations, designing developer- and AI-native experiences. Partner with product and research, prototype production-grade React components, shape integration strategy (Salesforce/HubSpot, MCP), and establish the Design Engineer function while working end-to-end from concept to launch.

Lead design and front-end engineering for PandaDoc's API and integrations. Partner with product and research to define strategy, prototype AI-native patterns, build production-grade React components, and shape the Design Engineer function while improving designers' technical skills and shipping end-to-end solutions.

The Senior Site Reliability Engineer will manage incident processes, maintain observability stacks, develop reliability tools, and mentor engineers while ensuring smooth production operations.

The Senior Site Reliability Engineer is responsible for incident management, observability, automation, and collaboration with product engineers to maintain resilient production services.

As a Senior Site Reliability Engineer at PandaDoc, you'll manage incident processes, maintain observability stacks, and ensure production reliability while mentoring team members.