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.
As Lead Product Analyst for monday Agents, you will own the analytical direction of the roadmap for our next-generation autonomous workforce ecosystem. You will be the primary analytical focal point for the group, turning complex, unstructured system data into strategic product recommendations. You will champion a user-centered analytics practice. You will build trusted relationships around monday.com Agents data across the organization, and help monday.com carry forward the learnings and ways of working that define how we operate in the agentic era.
Skills that will make you successful:
The agentic mindset - Convert ambiguous, non-deterministic system behaviors into structured metrics; know when to use classic statistics vs. custom behavioral heuristics
Master storyteller - Bridge deeply technical data science concepts and high-level product strategy; influence diverse cross-functional stakeholders
User-centric rigor - Look beyond token counts; measure whether an agent actually solved a human problem efficiently
About The Role
Lead the vision and strategy
Build and own monday Agents' measurement foundation—what we instrument, how we evaluate outcomes, and the success metrics product and leadership use to steer the roadmap across the monday ecosystem.
Partner with product leadership to turn abstract AI capabilities into structured, data-driven product roadmaps that prioritize user value and system reliability.
Drive innovation
Design and run rigorous agent evaluation at scale - from "LLM as judge" setups to behavioral profiling - so we can benchmark what works, what fails, and where to invest next.
Uncover deep behavioral insights on how humans interact with autonomous workflows, establishing new industry benchmarks for human–agent collaboration metrics.
Deliver and scale impact
Lead cross-functional alignment across engineering, data science, and product to optimize agent accuracy, latency, execution success rates, and token consumption tradeoffs.
Translate complex execution logs and multi-step agent trajectories into actionable, executive-ready insights that accelerate feature deployment.
Define ecosystem governance & trust
Build the analytical frameworks needed to monitor agent guardrails, permissions boundary compliance, and security patterns, ensuring autonomous execution remains completely safe and enterprise-ready.
Measure where custom agents drift from user intent, and turn those signals into a closed loop that continuously sharpens the AI Agent Builder.
Requirements
Lead-level product analytics - 6+ years leading analytics in product—ideally on agents, automation, or similarly complex surfaces where user outcomes matter more than funnel volume
Leadership & ownership - Strong leadership and extreme ownership—you set direction, build trust across product and engineering, and drive clarity and outcomes end-to-end
AI early adopter - You pick up new AI tools quickly, put them to work in your own analysis, and help the team unlock new capabilities as the stack evolves
AI product evaluation - Practical experience defining how AI features are judged: outcome quality, reliability, guardrails, drift from intent, and the tradeoffs between cost, latency, and user value
Technical foundation - Strong SQL and Python to explore agent execution data at scale; comfortable partnering with data engineering on instrumentation, not only consuming pre-built reports
Trace-native measurement - You've turned multi-step execution data (runs, traces, JSON logs) into metrics, dashboards, and definitions that engineering and product align on and ship against—not one-off analyses
Our product teams build features and architect roadmaps with a level of ownership rarely seen at our scale. You'll have the autonomy to navigate complex problems and move from ideation to production fast. Your challenge is building agentic technology that bridges AI and everyday workflows — and delivering instant, autonomous impact to millions of people around the world.
Skills Required
- 6+ years leading product analytics (lead-level)
- Strong SQL and Python proficiency for exploring execution data
- Experience defining AI product evaluation metrics: quality, reliability, drift, cost/latency tradeoffs
- Trace-native measurement experience converting multi-step runs, traces, and JSON logs into metrics and dashboards
- Proven leadership, ownership, and cross-functional alignment with product, engineering, and data teams
- Practical experience running agent evaluation frameworks at scale (behavioral profiling, LLM-as-judge setups)
- Familiarity with instrumentation and partnering with data engineering on telemetry
- Comfort adopting and applying new AI tools in analysis workflows
What the Team is Saying
monday.com Compensation & Benefits Highlights
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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.
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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.
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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!
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model!
