Pendo
Enterprise · Product analytics
Enterprise · Product analytics
Pendo currently has 5 active AI-related job listings. All of these roles are focused on agents, representing 100% of their current AI hiring. The company is hiring for these positions exclusively in the United States. Pendo's active AI roles frequently mention technologies such as agent orchestration, LLM observability, and retrieval-augmented generation (RAG).
Currently tracking 4 active AI roles, down 55% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Pendo currently has 6 active AI-related roles in our index. The most common open titles are: Director, Data & AI Platform, Senior Customer Engineer, Novus — Emerging Business, Sr. AI Engineer, Sr. AI-First Backend & Data Engineer, Sr. Technical Enablement Architect. Most positions are in Engineering and Product.
Pendo's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Pendo is hiring AI talent in: United States (4 roles), Israel (1 role).
Job postings at Pendo most frequently reference: agent orchestration, llm observability, evals, model serving, rag.
In the past 30 days, Pendo has posted 1 new AI-related role. That is a -80% change versus the prior 30 days (5 → 1).
| Title | Stage | AI score |
|---|---|---|
| Staff AI Engineer Staff AI Engineer role focused on designing and building production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, for a new emergent AI products team. Responsibilities include model strategy, evaluation, guardrails, MLOps ownership, full-stack delivery, product partnership, and technical leadership. Requires deep hands-on experience with LLM systems, setting technical direction, owning outcomes, model evaluation, modern architectures, production MLOps, full-stack fundamentals, and communication skills. | Agent | 8 |
| Sr. AI Engineer The Sr. AI Engineer will design and ship applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, from prototype through production. This role involves technical decision-making, rigorous model evaluation, MLOps ownership, and full-stack product shipping within a new AI-native product team. | Agent | 8 |
| Director, Data & AI Platform Director to lead the Data & AI Platform team, responsible for building and maintaining the trusted data infrastructure, semantic layer, BI platform, and internal AI tooling. The role will own Pendo's internal AI platform, enabling Pendozers to find, use, and contribute AI skills and workflows, including skills flywheel, agent surfaces, and observability infrastructure. Focus on driving measurable business outcomes through AI and data. | AgentServe | 7 |
| Sr. AI-First Backend & Data Engineer This role focuses on building and shipping AI-integrated data systems and backend services for an AI-native predictive analytics platform. The engineer will own the full stack, integrating AI/ML components as first-class runtime dependencies and leveraging AI-assisted development tooling. The emphasis is on high-velocity ownership, daily shipping, and end-to-end responsibility for production systems. | Agent | 7 |