Currently tracking 4 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Agent · Engineering.
| Title | Stage | AI score |
|---|---|---|
| R&D, Manager - AI Python Frameworks Engineering Manager to lead a team building the foundational agentic framework, including architecture, evaluation systems, observability, guardrails, and developer enablement, for AI agents at Gong. The role involves hands-on coding, system design, and team leadership, focusing on enabling other engineering teams to build and operate AI agents safely and reliably in production. | AgentEval Gate | 8 |
| Senior Product Security Architect Senior Product Security Architect role at Gong, an AI-powered revenue intelligence company. The role focuses on embedding security into the architecture and design of AI-driven features and cloud-native systems, working closely with engineering teams to address complex security challenges related to data protection, privacy, and trust in AI systems. Responsibilities include threat modeling, secure design, securing AI/ML features, and strengthening the software supply chain. | Agent | 7 |
| Director, GTM Automations & Data Gong is seeking a Director, GTM Systems & Infrastructure to build and lead the systems, automations, and data infrastructure for their Go-To-Market organization. This role focuses on AI, automation, internal tooling, and data orchestration to accelerate revenue by transforming GTM operations. The Director will design and scale the technical backbone connecting GTM systems, workflows, and data to create intelligent, automated processes. Responsibilities include building the Revenue Engineering Function, designing and deploying AI-powered workflows, owning automation and workflow orchestration, creating internal tools, managing revenue data infrastructure, and leading internal innovation initiatives using Gong's own products. | Agent | 7 |
| Senior Analyst, Analytics Engineering This role focuses on building and maintaining data models and a self-service analytics AI framework, including semantic modeling and tooling architecture, to enable the analytics community. It involves partnering with Data Ops to develop a semantic layer and agents for faster, more interpretable insights, and optimizing data staging. | Agent | 5 |