Source-listed Job

Junior Prompt Engineer - 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 obs

Job Source description available
Gong.io Tel Aviv Source published Oct 8, 2026 Source retrieved Oct 8, 2026
Source: Gong (greenhouse) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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Overview

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 obs

Full job description

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  Prompt Engineer , you will play an essential role in testing, refining, and optimizing the behavior and capabilities of Gong's AI. Working under the guidance of senior prompt engineers and researchers, you will collaborate closely with product teams, data scientists, and engineers to translate user needs into accurate, scalable, and reliable AI workflows. You'll Own Prompt Optimization & Refinement: Craft, test, and fine-tune prompts designed for key Gong applications, including the Gong Assistant. Agentic System Support: Assist in building and maintaining multi-agent systems, helping configure tool-retrieval workflows, memory mechanisms, and execution paths for complex tasks. Performance Analysis & Evaluation: Conduct regular evaluations of prompt performance using test datasets, benchmarking frameworks, and user feedback to identify areas for accuracy and consistency improvements. Experiment Execution: Run systematic experiments to evaluate new prompting techniques and test updates stemming from the latest advancements in NLP and Generative AI. Technical Documentation: Maintain clear, organized documentation of prompt structures, evaluation results, and system behavior to keep cross-functional teams aligned. You'll Solve Improving AI Accuracy: Helping address challenges around LLM reasoning and edge cases so Gong AI delivers consistently precise, context-aware answers. Refining User-Facing Workflows: Assisting in bridging product requirements with AI execution to produce consistent and intuitive end-user experiences. Testing for Reliability: Rigorously testing prompts to minimize hallucinations and ensure consistent performance across diverse customer interactions. Learning & Adapting: Quickly acquiring new skills to stay aligned with the rapidly changing landscape of LLMs and generative AI tools. You'll Impact Global Sales Transformation: The prompts and workflows you refine will directly power tools used by thousands of sales teams every day. The Future of Agentic AI: You will contribute directly to building dependable AI assistants that seamlessly navigate dynamic human interactions. Product Excellence: Your thorough testing and data-driven prompt tweaks will form the foundation for reliable, high-performing AI features. How You'll Succeed Here Foundational AI/LLM Experience: Hands-on experience (through internships, academic projects, personal projects, or 1–2 years of professional experience) working with LLMs and prompt design techniques (e.g., few-shot prompting, chain-of-thought). Familiarity with AI Frameworks: Basic working knowledge of modern AI development frameworks or agentic concepts (e.g., LangChain, LlamaIndex, or building with LLM APIs/RAG pipelines). Analytical Mindset: A methodical approach to problem-solving with a track record of running experiments, measuring results, and iterating based on data. Coding Proficiency: Proficiency in Python or a similar language to write scripts for automated prompt testing, evaluation, and data processing. Strong Collaboration & Curiosity: Excellent communication skills, a quick-learning mindset, and an eagerness to collaborate across engineering, product, and data science teams. What makes Research at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this "Own. Solve. Impact." For our researchers and engineers, it means being involved and able to influence the process to create the best product from day one. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don't delay – fill in your application details. Who knows, maybe there's a Gongster in you! About Us We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us flexibility, autonomy, positive work relationships, and effective work habits. To review Gong's privacy policy, visit http://www.gong.io/privacy-policy/ for more details. #LI-MW1

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