HockeyStack is hiring an AI Engineer to build and improve the backend systems powering agentic AI across its enterprise GTM platform. The role involves designing and maintaining autonomous agents, Node.js backend services, context-management pipelines, and stateful multi-agent workflows; deploying frequently to production while maintaining quality. Candidates need production experience with LLM-powered applications or agentic AI systems, Node.js and modern JavaScript/TypeScript, multi-agent orchestration, AI framework familiarity, and multi-model routing knowledge. The position is fully in-person at the San Francisco headquarters and offers $180,000–$220,000 USD in base annual pay.
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HockeyStack is an AI go-to-market B2B Revenue data platform that unifies marketing, product, and sales data across the entire customer lifecycle to serve as the Single Source of Truth (SSoT) for Go-To-Market (GTM) and Revenue Operations (RevOps) teams. The platform connects in-product behavior directly to commercial outcomes, attributing upsells, churn, and expansion to specific user behaviors, bridging Product-Led Growth (PLG) and sales-led motions. It provides full lifecycle, multi-touch attribution, advanced identity and account intelligence, and AI-powered cross-domain analytics. HockeyStack’s warehouse-native, composable architecture integrates seamlessly with CRMs, data warehouses, and ad platforms through APIs, SDKs, reverse ETL, and real-time data syncs. The platform features a governed semantic layer that standardizes business metrics, enabling consistent and trusted performance measurement across all channels and teams. Its predictive capabilities uncover non-obvious correlations between marketing activity, product usage, and revenue to drive behavior-based forecasting, expansion pipeline growth, and Net Revenue Retention (NRR) improvements. Designed with first-party data collection and enterprise-grade privacy, compliance, and governance, HockeyStack offers automated onboarding, strategic RevOps partnership, and transparent data control.
