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Gong io

Senior Data Scientist - AI Research & Reliability 

Gong io is hiring a Senior Data Scientist - AI Research & Reliability  in Tel Aviv, Israel. Level rates it ; you can apply on Gong io.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
  • The posting mentions LangChain, LlamaIndex and PyTorch among its tools and skills.
  • Level classes it as a senior role.
  • Gong io has 87 other open roles on Level.

AI in this role

Lead AI research and reliability, architecting advanced agentic systems and large language model applications.

langchainllamaindexpytorchscikit-learnllmsnlp
ragai-agentsfine-tuningai-evaluationnlpai-researchmachine-learningartificial-intelligencedata-scienceresearchagents

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 on the AI Research & Reliability team, you will be a driving force in shaping the future of Gong AI. You will act as a technical leader, working with cutting-edge LLMs, NLP, and machine learning to tackle our most ambiguous and complex customer problems. Working alongside Product, Engineering, and Data Scientist, you will spearhead the architecture, evaluation, and deployment of enterprise-grade AI capabilities at scale, while elevating the technical standards of the team.

You'll Own

  • The AI Technical Strategy: Lead the AI product lifecycle by partnering deeply with Product and Engineering to translate complex business needs into scalable, state-of-the-art AI solutions. Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation.
  • Advanced Agentic Systems: Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures that power Gong AI Agents. Establish industry-leading evaluation frameworks and benchmarks to rigorously measure and continuously improve workflow reliability.
  • Conversational Intelligence at Scale: Pioneer new NLP- and LLM-based methodologies to analyze massive, unstructured conversation datasets. You will design approaches that capture the deep intent, nuance, and strategic signals within human interactions.
  • Production-Grade Model Engineering: Architect highly robust and scalable Python pipelines. Set the standard for creating proprietary datasets, training/fine-tuning models, and integrating LLM-powered solutions into production environments serving millions of critical customer interactions.

 

You'll Solve

  • Complex Business Context Reasoning: Designing AI systems that can autonomously reason over vast, unstructured data spaces—combining conversations, CRM signals, and diverse data sources to uncover high-level insights and drive executive decision-making.
  • Architecting Intelligent Agent Experiences: Solving the hardest architectural challenges around long-term memory, multi-step reasoning, retrieval accuracy (RAG), and deterministic evaluation to ensure Gong AI Agents deliver flawless, context-aware assistance.
  • Extracting Actionable Intelligence: Pushing the boundaries of applied NLP and LLMs to understand deep customer dynamics, foresee market trends, and transform raw, noisy conversations into structured, actionable intelligence across the customer lifecycle.
  • Advancing Applied AI Innovation: Leading experimentation with state-of-the-art AI approaches (advanced RAG architectures, parameter-efficient fine-tuning, complex agentic workflows) to solve novel product challenges and drastically improve AI quality and reliability.

You'll Impact

  • Global Sales Transformation: The foundational AI architectures you build will directly empower thousands of enterprises, fundamentally changing how revenue teams operate, strategize, and close deals.
  • Strategic Innovation to Implementation: You will bridge the gap between academic/bleeding-edge NLP developments and enterprise application, translating complex research into high-quality, scalable code that maintains Gong's position as an AI industry leader.
  • Technical Leadership: You will set technical standards, establish rigorous experimental frameworks, and mentor junior and mid-level data scientists, fostering a culture of excellence and data-backed decision-making.
  • The Future of Agentic AI: You will define how the Gong AI Assistant interprets and navigates intricate human dynamics, sentiment, and deal momentum, setting the industry benchmark for enterprise AI agents.

How You'll Succeed Here

  • M.Sc. or Ph.D. in an exact science field (Computer Science, Mathematics, Statistics, etc.). A deep academic or applied background in NLP or Machine Learning is required.
  • 5+ years of industry experience in data science or machine learning, with a proven track record of taking complex AI and NLP solutions from concept to large-scale production.
  • Deep expertise in modern AI architectures, specifically advanced RAG, LLM fine-tuning, agentic workflows (e.g., LangChain, LlamaIndex), and robust LLM evaluation methodologies.
  • Exceptional Python engineering skills and mastery of ML/data ecosystem libraries (pandas, NumPy, scikit-learn, PyTorch, Transformers).
  • Demonstrated ability to tackle ambiguous problems autonomously, design complex experiments, and translate deep technical findings into strategic product roadmaps.
  • Strong architectural mindset with the ability to foresee scaling issues and design highly reliable, performant data systems.
  • Exceptional cross-functional communication and leadership skills; ability to influence Product and Engineering teams and explain complex AI concepts to non-technical stakeholders.

*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, 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 work place, we'd love to see you with us.

To review Gong's privacy policy, visit http://www.gong.io/privacy-policy/ for more details.

#LI-MW1

How we rate this

Senior Data Scientist - AI Research & Reliability  at Gong io rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsFine-tuningAI EvaluationNLPAI ResearchMachine learningArtificial Intelligence

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  4. How do you decide that one model's output is better than another's for a given task?
  5. What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, Fine-tuning, AI Evaluation, and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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