or apply directly on Gong.io's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 69 days Gong.io's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 56% of Gong.io's roles list one
- Ghost-job risk at Gong.io
- high 95 stale, 12 reposted of 97 open
- Hiring momentum
- 138 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Gong.io's own greenhouse board since 2026-08-03. Full hiring picture for Gong.io.
About this role
As a Senior Data Scientist on the AI Research & Reliability team at Gong, you will lead the development of advanced AI solutions, focusing on large language models (LLMs) and natural language processing (NLP). Your role involves collaborating with cross-functional teams to design and implement scalable AI architectures, optimize conversational intelligence systems, and drive innovation in applied AI methodologies. You will also mentor junior team members and set technical standards to enhance the team's capabilities.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Gong.io as an employer.
What you need
- M.Sc. or Ph.D. in an exact science field (Computer Science, Mathematics, Statistics, etc.)
- 5+ years of industry experience in data science or machine learning
- Deep expertise in modern AI architectures, specifically advanced RAG, LLM fine-tuning, and agentic workflows
- Exceptional Python engineering skills and mastery of ML/data ecosystem libraries (pandas, NumPy, scikit-learn, PyTorch, Transformers)
- Demonstrated ability to tackle ambiguous problems autonomously and design complex experiments
- Strong architectural mindset with the ability to foresee scaling issues and design highly reliable data systems
What you get
- Flexible hybrid work model
- Opportunity to influence product development
- Culture of ownership and empowerment
Worth weighing
- No salary listed
- Focus on cutting-edge AI technologies may require continuous learning and adaptation
- High expectations for technical leadership and mentoring
Summarised from Gong.io's posting. Read the full original.
Listed by Gong.io on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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