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monday.com is seeking a Head of Data Science for a dual-mandate, player-coach role leading both hands-on technical work and organizational leadership.
In the first half of your time, you will serve as the data science lead for monday's Agents group, one of the company's most strategic AI products. You will own the data science agenda for the agentic platform, defining what "good" looks like and how it's measured. Key responsibilities include designing and building the evaluation stack for agents in production (LLM-as-judge rubrics, trajectory analysis, error taxonomies, regression suites, and post-deployment monitoring) in partnership with the AI Infrastructure team. You will drive model, prompt, context, and tool-use decisions with evidence by running experiments, analyzing raw traces, and translating findings into concrete changes for the engineering team to ship. You'll partner with Agents product and engineering leads on roadmap decisions, tradeoffs between quality, cost, and latency, and launch decisions. You will also anticipate next-generation failure modes as agent architectures evolve and ensure the evaluation and data strategy stays ahead.
In the second half of your time, you will lead the cross-R&D Data Science Guild, a distributed team of approximately 10 data scientists embedded across product and infrastructure groups. You will set the vision and standards for data science at monday, including methodology, tooling, evaluation practices, and what "production-grade" means. You will indirectly manage and develop the guild members, focusing on performance, growth, career paths, and creating a community of practice where knowledge flows between groups. You will 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. You'll act as the senior data science voice in R&D leadership forums, translating guild insights into recommendations on product strategy, AI investments, and organizational design. You will build mechanisms (reviews, guild syncs, shared platforms, playbooks) that make the guild greater than the sum of its embedded members.
monday.com is an AI work platform with 250,000+ customers across departments, enabling teams to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes.
REQUIREMENTS:
- 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 work: models, context management, tool use, harnesses, and failure modes; hands-on with current agent frameworks and SDKs
- Strong evaluation instincts and experience designing metrics and judges that teams trusted enough to ship on; ability to identify when a metric is misleading
- Production-grade coding (Python minimum) and a trace-first diagnostic mindset; comfort with raw logs, notebooks, and pull requests
- 3+ years managing data scientists, ideally in distributed or matrixed setups where direct reports sit inside other teams
- 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 who protects real hands-on time and models expected quality
- Strong product intuition connecting model behavior to customer outcomes and business metrics
- Excellent communication with engineers, product leaders, and executives in both technical detail and crisp summary
- Bias for action in ambiguous, fast-moving environments with judgment to know when quality matters more than speed
- MSc or PhD in Computer Science, Statistics, Data Science, or related quantitative field
