---
title: 'Head of Data Science at monday.com'
canonical: 'https://feeny.ai/job/head-of-data-science-monday-com-tel-aviv-3hry692wdvcm'
type: 'job'
last_seen: '2026-11-05'
---

# Head of Data Science at monday.com

- **Company:** [monday.com](https://feeny.ai/companies/monday-com)
- **Location:** Tel Aviv, Israel
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/monday.com/e1d11734-5707-43ef-b0d2-b682a273791c

## Job description

About [monday.com](http://monday.com) [monday.com](http://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 role

This is a dual-mandate, player-coach role for a senior data science leader who still wants to be close to the hardest technical problems. Half of your time is hands-on in the Agents group, the team building monday's one of the most strategic AI products. You will be the data science lead for our agents: owning how we define, measure, and improve agent quality, and shaping the technical decisions that determine whether our agents can be trusted to execute real work for hundreds of thousands of customers. The other half is technical leading the cross-R&D Data Science Guild (~10 data scientists) embedded across product and infrastructure groups. You will set the technical direction, quality bar, and career paths for every data scientist at monday, and make the guild a force multiplier for the whole R&D organization rather than a collection of individual contributors.

Lead data science for the Agents group (hands-on)

- Own the data science agenda for monday's agentic product: what "good" looks like, how it's measured, and how we close the gap between the two.
- Design and build the evaluation stack for agents in production: LLM-as-judge rubrics, trajectory analysis, error taxonomies, regression suites, and post-deployment monitoring, in partnership with AI Infra's centralized Evals framework.
- Drive model, prompt, context, and tool-use decisions with evidence: run the experiments, dig into raw traces, and turn findings into concrete changes the engineering team ships.
- Partner with Agents product and engineering leads on roadmap, tradeoffs (quality vs. cost vs. latency), and launch decisions. Your metrics are the ones the team greenlights on.
- Anticipate the next generation of failure modes as agent architectures evolve, and make sure our evaluation and data strategy stays ahead of them.

Lead the R&D Data Science Guild

- Set the vision and standards for data science at monday: methodology, tooling, evaluation practices, and what "production-grade" means for data scientists embedded in product teams.
- Indirectly manage and develop ~10 data scientists across R&D: performance, growth, career path, and creating a community of practice where knowledge and reusable assets flow between groups.
- Own the hiring bar and pipeline for data science across R&D, and partner with group leads on where the next data science investments should land.
- Act as the senior data science voice in R&D leadership forums, translating what the guild sees into recommendations on product strategy, AI investments, and organizational design.
- Build the mechanisms (reviews, guild syncs, shared platforms, playbooks) that make the guild greater than the sum of its embedded members.

Requirements: Technical depth in production AI

- 8+ years in data science / applied ML, with significant recent experience building and evaluating LLM-based or agentic systems in production.
- Deep, practical understanding of how agents actually work: models, context management, tool use, harnesses, and where they break. Hands-on with current agent frameworks and SDKs.
- Strong evaluation instincts and experience: you have designed metrics and judges that a team trusted enough to ship on, and you know when a metric is lying.
- Production-grade coding (Python at minimum) and a trace-first diagnostic mindset. You are comfortable in raw logs, notebooks, and pull requests, not only in decks.

Proven leadership of data scientists

- 3+ years managing data scientists, ideally including a distributed or matrixed setup where your people sit inside other teams.
- A track record of raising a team's technical bar: hiring strong people, growing them into senior ICs and leads, and setting standards that stick.
- Comfortable operating as a hands-on player-coach: you protect real hands-on time and model the quality you expect from the guild.

Product and organizational impact

- Strong product intuition. You connect model behavior to customer outcomes and business metrics, and prioritize accordingly.
- Excellent communication with engineers, product leaders, and executives alike, in both technical detail and crisp summary.
- Bias for action in ambiguous, fast-moving environments, and the judgment to know when quality matters more than speed.
- MSc or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.

## About monday.com

## Company Overview
- **One-liner**: monday.com is a global software company that develops a browser-based AI work platform to help teams manage their work, automate processes, and achieve more together.
- **Entity Type**: Public (Nasdaq: MNDY)
- **Headquarters**: Tel Aviv, Israel (with major offices in New York, London, Warsaw, Tokyo, Singapore, Melbourne, and Munich)
- **Founded**: February 2012 (originally as dapulse, rebranded to monday.com in 2017)
- **Founders**: Roy Mann and Eran Zinman

## Core Business
- **Primary industry/industries**: Process management, project management software, productivity software, team management, customer relationship management (CRM), collaborative software
- **Target customers**: B2B - serving over 250,000 customers globally, including over 60% of the Fortune 500
- **Mission or purpose statement**: "Shape how the world works" - helping teams get more work done with AI-powered tools that automate, build, and scale impact end-to-end.

## Products & Services
- **monday.com Work OS**: The core platform, a customizable, no-code work operating system for managing projects, workflows, and processes across teams and departments.
- **monday AI Platform**: An enterprise-grade AI infrastructure that allows users to build and deploy AI agents to automate tasks, with features like simulation mode, full user control, and a guarantee that customer data is never used to train AI models.
- **monday CRM**: A customer relationship management solution built on the Work OS.
- **monday Dev**: A product management tool tailored for software development teams.
- **monday Sales CRM**: A dedicated CRM for sales teams.
- **monday Marketer**: A work management solution for marketing teams.
- **Open API & Integrations**: An open platform allowing third-party developers to build custom views, dashboard widgets, automations, and integrations with other work apps.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. During its last private round in 2019, it was valued at $1.9 billion. The company went public in June 2021.
- **Key Metric**: Over $1.232 billion in annual revenue (2025), with over $1 billion in ARR.
- **Notable Investors/Partners**: Insight Partners, Sapphire Ventures, Hamilton Lane, HarbourVest Partners, ION Crossover Partners, and Vintage Investment Partners were key investors in its growth rounds.
- **Growth Signals**: The company has grown to over 3,155 employees (2025), serves over 250,000 customers, and is trusted by over 60% of the Fortune 500. It is aggressively expanding its AI capabilities with its new AI work platform and agent features.

## Competitive Advantages
- **Platform Stickiness**: monday.com is a highly customizable, no-code platform that becomes deeply embedded in a customer's daily workflows, creating high switching costs.
- **Data Privacy & Trust**: The company explicitly states that customer data is never used to train AI models, a major differentiator for enterprise clients concerned with data security.
- **Enterprise-Grade Security**: Offers robust security, governance, permissions, and compliance features, making it a trusted partner for large organizations.
- **Strong Brand & Scale**: With over 1 billion in ARR and a massive customer base, the company has significant resources for R&D and market expansion.

## Strategic Focus
- **AI-First Platform**: monday.com is pivoting heavily to become "The AI Work Platform for People & Agents," allowing users to build, validate, and deploy AI agents to automate work. This is the company's primary growth vector.
- **Expanding Enterprise Footprint**: Deepening its penetration into large enterprises by offering a secure, scalable, and customizable platform.
- **Product Ecosystem Growth**: Continuously expanding its suite of specialized products (CRM, Dev, Marketer) to capture more of the enterprise software market.

## Why Work Here
- **Product-First Culture**: The company is deeply committed to building intuitive, powerful, and easy-to-use products that solve real customer problems.
- **Impact & Ownership**: Employees are given significant ownership over their work from start to finish, fostering a culture of personal investment and high impact.
- **Hybrid Work Model**: monday.com offers a hybrid work environment, with most teams spending three days a week in the office for collaboration and the rest working remotely.
- **Career Growth**: The company provides learning programs, mentorship, development opportunities, and an internal mobility process to support diverse career paths.
- **Global & Diverse Team**: With 3,000+ employees across 15+ locations and 17 teams, the company offers a truly international and diverse work environment. It is an equal opportunity employer committed to inclusion.
- **Strong Financial Health**: As a profitable, publicly-traded company with over $1B in ARR, monday.com offers stability and long-term growth potential for its employees.

## Sources
1. [monday.com Careers Page](https://monday.com/careers)
2. [monday.com Official Website](https://www.monday.com/)
3. [Built In - monday.com Company Profile](https://builtin.com/company/mondaycom)
4. [Wikipedia - Monday.com](https://en.wikipedia.org/wiki/monday.com)
5. [LinkedIn - monday.com](https://uk.linkedin.com/company/mondaydotcom)

## Other roles at monday.com

- [Software Engineering Tech Lead](https://feeny.ai/job/software-engineering-tech-lead-monday-com-warsaw-hxy41vksk9y2) — Warsaw, Poland
- [Software Engineer Tech Lead – AI Workflows & Automations](https://feeny.ai/job/software-engineer-tech-lead-ai-workflows-automations-monday-com-tel-aviv-5sck134zwndn) — Tel Aviv, Israel
- [Enterprise Account Manager](https://feeny.ai/job/enterprise-account-manager-monday-com-london-9zxy0khm0w3y) — London, United Kingdom
- [Product Marketing Manager, AI Builder](https://feeny.ai/job/product-marketing-manager-ai-builder-monday-com-tel-aviv-x2x548nqr14j) — Tel Aviv, Israel
- [Forward Deployed Consultant](https://feeny.ai/job/forward-deployed-consultant-monday-com-singapore-343eep63ymvh) — Singapore
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-denver-me8t5gwwwqas) — Denver, CO
- [Field Marketing, BR](https://feeny.ai/job/field-marketing-br-monday-com-brazil-09sw1544pj2s) — Brazil
- [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-monday-com-london-n49wx74j8zhh) — London, United Kingdom
- [AI Solutions Builder](https://feeny.ai/job/ai-solutions-builder-monday-com-tel-aviv-tr7dhandq8vc) — Tel Aviv, Israel
- [Solution Architect - APJ](https://feeny.ai/job/solution-architect-apj-monday-com-sydney-rwzh3nb6m2mk) — Sydney, Australia