We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
We are looking for an innovation-driven pioneer to lead the most ambitious transformation in our data history. This is not a traditional BI role; it is a call to architect the "brain" of our organization. You will be responsible for implementing cutting-edge GenAI solutions and tools that dramatically improve team efficiency, support true user self-service, and provide deep insights easily, automatically, and quickly.
Listen to our podcast here:
https://podcasts.apple.com/il/podcast/startup-for-startup/id1404411941?i=1000766148682
See some more here:
https://www.youtube.com/watch?v=x-m0ag0cty0
https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/
About The RoleYou will lead the pivot from "table builders" to Autonomous Data Strategists, owning the organization's single source of truth—a knowledge layer that is structured, unstructured, always available, and always accurate. By orchestrating a fleet of AI-powered agents, you will ensure the BI division becomes a proactive service center where data and insights are never the bottleneck. You will establish the governed semantic layer that allows the entire company to operate from one aligned truth, matching the speed of the business while elevating the quality of every decision made.
Requirements- 6+ years of experience as a BI Developer or Data Engineer with a heavy focus on DWH design, dimensional modeling, and architecting complex data ecosystems.
- AI Implementation: Hands-on experience implementing AI or automation within BI and analytics processes to drive operational efficiency.
- Modern Dev Stack: Hands-on experience with AI-native development environments such as Claude, Cursor, or similar tools to accelerate delivery.
- Expert Technical Stack: Mastery of SQL and deep hands-on experience with Snowflake, Airflow, and dbt.
- Strategic Partnership: Ability to partner with stakeholders and internal teams to translate complex business requirements into LLM-powered workflows.
- Quality & Governance: Experience building structured evaluation plans to test workflows against rigorous accuracy, reliability, and compliance standards.
- Architectural Vision: Deep understanding of Semantic Layers—knowing how to centralize business logic so it remains consistent across all platforms.
- Passion for LLMs: A fast-learning mindset with a genuine desire to build innovative, category-defining AI-driven products and act as an advocate for best practices in LLM development.
Advantages
- Scripting Mastery: Strong proficiency in Python or other scripting languages for data manipulation, API integration, and AI automation.
- AI Architecture: Hands-on experience with RAG, LangChain, LlamaIndex, or Vector DBs.
- Orchestration: Advanced proficiency in Airflow and automated workflow tools.
- Production Excellence: Experience deploying AI/Data products in high-scale production environments with CI/CD.
- Data Security: Practical implementation of RLS, RBAC, and OAuth within AI-to-Data layers.
- Unstructured Data: Building pipelines for non-tabular data (PDFs, Slack, CRM notes).
BI and AI Solution Engineer
Skills Required
- At least 4 years of experience as a BI Developer (ETL, DWH)
- Excellent business understanding with technical data modeling abilities
- Experience in design and development of complex ETL processes
- Ability to write complex SQL queries and optimize them for performance
- Experienced with data orchestration and monitoring tools
What the Team is Saying
monday.com Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, and vision, with mental‑health support through counseling sessions and recent mentions of fertility support in the U.S.
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Leave & Time Off Breadth — PTO spans roughly 16–22 days by tenure with about 80 hours of paid sick time, alongside notable paid parental leave and adoption assistance.
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Retirement Support — A 401(k) is provided with a company contribution regardless of employee contribution, offering straightforward retirement support.
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!
