Pendo
Pendo builds a product experience platform that combines product analytics, in‑app guides and messaging, surveys, and feedback to help software companies onboard users and drive adoption. It sells subscriptions to product, growth, and customer-success teams, with options for employee software enablement and AI-assisted support workflows. Founded in 2013 and headquartered in Raleigh, North Carolina, Pendo is privately held and operates globally, including stewardship of the Mind the Product community acquired in 2022.
Open Positions at Pendo
8 open positions
Pendo is seeking a Senior Customer Engineer to own complex enterprise accounts across pre-sales, implementation, adoption, expansion, and technical escalation. The role combines customer-facing technical strategy, hands-on web implementation expertise, and team capability building in a hybrid London environment.
Senior Customer Engineer owning the full technical customer lifecycle for strategic Enterprise accounts, from pre-sales and implementation through adoption, expansion, and escalation. This remote West Coast role combines hands-on web implementation expertise, executive advisory work, and team capability building.
Build full-stack product features that help customers understand and debug the behavior of AI agents, working across Go services, Vue interfaces, instrumentation, telemetry, and LLM-backed capabilities. This New York City role combines hands-on product development with production ownership and customer-facing agent observability.
Pendo is seeking a Sr. Professional Services Engineer Consultant to design and deliver complex customer-facing technical engagements involving custom integrations, APIs, data pipelines, and ETL. The role combines hands-on backend development with data and architecture consulting, technical project leadership, and reusable solution building.
Own complex backend product features and platform capabilities as a senior engineer on Pendo’s Core team. You’ll drive ambiguous work independently, build reliable production systems, and use AI tools extensively throughout your development workflow.
Build and own AI-native backend services, data pipelines, and production ML capabilities that power real-time decisions. This high-ownership senior role combines backend and data engineering with hands-on AI integration and end-to-end operational responsibility.
Build and lead production-grade AI products, from RAG pipelines and agentic workflows to complete user-facing experiences. This Staff-level role combines hands-on engineering with technical direction, product judgment, and cross-functional influence.
Build and ship AI-native product experiences from prototype through production, including RAG pipelines, agentic workflows, and LLM-powered features. This senior role combines hands-on AI engineering, full-stack product delivery, rigorous model evaluation, and strong product judgment.