Senior Data Scientist - AI Research & Reliability

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As a Data Scientist on the AI Research & Reliability team, you'll help shape the future of Gong AI. You'll work with cutting-edge LLMs, NLP, and machine learning to solve real customer problems, turning research into intelligent product experiences used by thousands of customers. Working alongside the Product, Engineering, and Data Science team, you'll build, evaluate, and ship AI capabilities at scale.

You'll Own

• The AI Product Lifecycle: Partner with Product and Engineering to translate customer and business needs into scalable AI solutions. Define the right AI approach, agent architecture, success metrics, and technical strategy before implementation.

• Agentic Systems: Design, build, and evaluate the sub-agents, tools, retrieval, and memory systems that power the Gong AI Agents. Develop evaluation frameworks and benchmarks to measure workflow quality and continuously improve agent performance.

• Conversational Intelligence: Analyze large-scale conversation data to uncover insights and develop NLP- and LLM-based approaches that capture the intent and nuance of human interactions.

• Model & Pipeline Engineering: Build Python pipelines to create proprietary datasets, train and evaluate models, and integrate LLM-powered solutions into production systems serving millions of customer interactions.

You'll Solve

• Understanding Complex Business Context: Developing AI systems that can reason over large-scale, unstructured customer interaction data, combining conversations, CRM signals, and other data sources to uncover meaningful insights and support better decision-making.

• Building Intelligent Agent Experiences: Solving challenges around retrieval, memory, reasoning, and evaluation to enable Gong AI Agents to answer complex questions, perform multi-step research, and deliver accurate, context-aware assistance.

• Extracting Insights from Conversations at Scale: Applying NLP and LLM techniques to understand customer interactions, identify intent and trends, and transform raw conversations into actionable intelligence across the customer lifecycle.

• Advancing Applied AI Capabilities: Experimenting with and applying modern AI approaches, including RAG, fine-tuning, clustering, and agentic workflows, to solve real product challenges and improve AI quality, reliability, and user impact.

You'll Impact

• Global Sales Transformation: The features you help build will directly empower thousands of companies and their sales teams, changing how they