Prompt Engineer - Deals & Forecast
Gong.io
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What forecast roles keep asking for: Supply chain (41%), Excel (35%), Accounting (29%), Python (29%), Stakeholder management (29%), SQL (24%), AWS (18%), Agile (18%) — counted across their open postings here.
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Practise the Prompt Engineer - Deals & Forecast at Gong.io interview free →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 a critical role in shaping the behavior and capabilities of Gong's AI. You will move beyond basic prompt design to architect advanced, multi-agent systems, collaborating closely with product teams, data scientists, and engineers to understand user needs and translate them into effective, scalable AI workflows.
You'll Own
- Advanced Prompt Engineering: Design and develop highly optimized prompts for a wide range of applications, including text generation, question answering, rating, sentiment analysis, and summarization.
- Performance Analysis & Iteration: Continuously analyze and iterate on prompts and agent behaviors based on performance metrics, evaluation frameworks, and user feedback to ensure high-quality, reliable outputs.
- Experimentation & Research: Conduct systematic experiments to test new prompting techniques, benchmark agentic workflows, and integrate updates based on the latest advancements in NLP and Generative AI.
- Technical Documentation: Create clear, concise, and structured documentation of prompt architectures, system behaviors, and testing methodologies, effectively communicating your work to both technical and non-technical audiences.
You'll Solve
- Building Intelligent Agent Experiences: Solving complex challenges around LLM reasoning and agent logic to enable Gong AI to answer complex questions and deliver accurate, context-aware assistance.
- Translating User Needs into AI Workflows: Bridging the gap between user requirements and technical execution by designing prompts and agent architectures that directly improve the end-user experience.
- Optimizing Reliability at Scale: Reducing hallucinations, improving output consistency, and ensuring that agentic systems perform reliably across millions of dynamic customer interactions.
- Staying Ahead of the Curve: Continuously adapting internal systems to leverage the rapidly evolving landscape of LLMs and AI research.
You'll Impact
- Global Sales Transformation: The agents and prompts you build will directly empower thousands of companies, changing how they interact with customers and automate critical workflows.
- The Future of Agentic AI: You will help shape how the Gong AI Assistant navigates human dynamics, helping agents interpret complex intents and execute autonomous tasks effectively.
- Product Excellence: Your rigorous testing, prompt optimization, and architectural designs will be the driving force behind the quality and intelligence of Gong's core AI features.
How You'll Succeed Here
- Proven experience as a Prompt Engineer, AI Engineer, or in a similar role focused on LLMs and Generative AI.
- Hands-on experience designing and building architectures for AI agents and multi-agent workflows (e.g., using frameworks like LangChain, AutoGen, or similar).
- Deep understanding of modern AI approaches, including Retrieval-Augmented Generation (RAG), few-shot prompting, chain-of-thought, and LLM evaluation methods.
- Familiarity with natural language processing (NLP) concepts and the ability to stay up to date with the latest AI research.
- Strong analytical skills with a proven track record of designing experiments, analyzing prompt performance, and iterating based on data.
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams (Product, Data Science, Engineering) and explain complex concepts simply.
*We operate in a flexible hybrid work model.
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 entire process to create the best product. 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.
If these considerations are important to you when choosing a workplace, we'd love to see you with us.
To review Gong's privacy policy, visit http://www.gong.io/privacy-policy/ for more details.
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Listed on greenhouse · posted 2026-10-04. ApplySarthi collects openings and links to application pages; the role is advertised by Gong.io, not by us.