Gong.io·4 days ago
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 Senior Data Scientist (NLP & LLMs) at Gong, you will combine strong hands-on machine learning, deep understanding in LLMs, and sharp product thinking to build the next generation of Gong AI. You’ll work with real customer interaction data, design and run large-scale experiments, and partner closely with Product and Engineering to turn cutting-edge LLM capabilities into impactful features that our customers love.
You’ll collaborate with a team of exceptional data scientists, data analysts, and prompt engineers, and you’ll be a key driver in shaping how Gong uses LLMs, NLP practices, and data to power our product.
Education & experience
5+ years of industry experience in data science / machine learning, including hands-on work with deep learning or large language models in real products.LLM / NLP expertisePractical experience building agentic workflows and NLP features end-to-end: from problem framing and data preparation to prompt/model design and production deployment. Deep familiarity with modern techniques including RAG, fine-tuning, LLMs, as well as the evaluation frameworks required to benchmark them.Python & experimentation at scaleExpert-level Python skills, including working with common data and ML libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, Transformers, LangChain, or similar).Proven track record designing and running large-scale experiments (e.g., offline benchmarks, prompt/model pipelines), and turning results into concrete decisions.Strong analytical skillsDeep expertise in statistics and data analysis. Demonstrated skill in parsing unstructured, real-world data to uncover patterns and drive research strategyProduct mindsetExperience working with product managers and other stakeholders, with a strong sense for customer needs and value.
Collaboration
What makes Engineering 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.”
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
Gong transforms revenue organizations by driving business efficiency, revenue growth, and improved decision-making. The Revenue Intelligence Platform uses proprietary artificial intelligence technology to enable teams to capture, understand, and act on all customer interactions in a single, integrated platform. Thousands of companies around the world rely on Gong to support their go-to-market strategies and grow revenue efficiently.
Here at Gong, 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 work place, we'd love to see you with us.
To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.