About monday.com:
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About the team
We’re looking for a Full Stack Data Scientist to join our AI Engineering, driving the future of AI-powered developer experience (DevEx internal AI) at monday.com.
In this role, you’ll harness the power of generative AI and data science to design, build, and optimize intelligent systems that elevate the way developers work - from ideation to production.
***This position is available at our Tel Aviv office only.
About the role:
Leverage generative AI models and data-driven insights to create innovative developer tools and capabilities within monday.com’s ecosystem.
Lead end-to-end AI research and development, from data preparation and experimentation to production deployment, with a focus on evaluating solutions and designing effective performance metrics.
Develop and optimize LLM-based systems, including prompt engineering, RAG pipelines, and multi-agent architectures.
Partner with software engineers, product managers, designers, and analysts to build scalable, production-ready AI solutions used by monday's Builders .
Design and conduct experiments to measure and improve model performance, and overall system impact.
Collaborate on defining AI/ML best practices, tooling standards, and long-term data strategies for the DX group.
Requirements:
4+ years of proven experience as a Data Scientist in non-academic settings, with a focus on Large Language Models, NLP, or other deep learning fields
Proven track record of conceiving, designing, and shipping successful agentic-driven projects to production
Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures
Proficiency in Python is a must; knowledge of Typescript is an advantage
Team player with strong communication skills
A data-driven innovator passionate about advancing the developer experience through AI.
Curious and creative - eager to explore cutting-edge LLMs and emerging AI frameworks.
Analytical and experimental, with a strong bias for measurable impact and real-world outcomes.
A collaborator who thrives in interdisciplinary environments.
Motivated by impact, experimentation, and empowering developers to achieve more with data and AI.
#LI-DNI
Skills Required
- 4+ years experience as a Data Scientist in non-academic settings, focused on LLMs, NLP, or deep learning
- Proven track record conceiving, designing, and shipping agentic-driven projects to production
- Hands-on proficiency with modern generative AI models and prompt engineering
- Experience building RAG pipelines and LLM-based multi-agent architectures
- Proficiency in Python (must)
- Knowledge of Typescript (advantage)
- Strong communication skills and ability to work cross-functionally with engineers, PMs, designers, and analysts
- Data-driven mindset with experience designing experiments and performance metrics for models and systems
- Curiosity for cutting-edge LLMs and emerging AI frameworks, and bias for measurable impact
- Collaborative, interdisciplinary team player motivated to improve developer experience through AI
What the Team is Saying
monday.com Compensation & Benefits Highlights
-
Retirement Support — A 401(k) with a guaranteed 3% company contribution regardless of employee deferral, plus equity eligibility and an ESPP, strengthens long‑term financial security. This flat contribution adds predictable value alongside stock programs.
-
Parental & Family Support — Up to 13 weeks fully paid parental leave for all caregivers, adoption assistance, and an onsite mother’s room indicate robust family support. Access to fertility support is also described.
-
Wellbeing & Lifestyle Benefits — Day‑to‑day perks include free in‑office breakfast, a monthly meal stipend around $300, a commuter stipend around $130, snacks, and a monthly wellness stipend, alongside 12 EAP sessions. These allowances complement medical, dental, vision, life, and disability insurance.
monday.com Insights
What We Do
At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
Why Work With Us
At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!
Gallery
monday.com Teams
monday.com Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model!
