BI and AI Solution Engineer

Job description

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.

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=1000766148

About the role:

You 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).

What monday.com can offer you:

• Join a customer-obsessed team where transparency and ownership are how we actually operate - not just things we put on a wall.

• Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide.

• Competitive salary, benefits, bonus potential, and equity eligibility for many roles - we believe people who build the product should share in its success.

• Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons - the industry moves quick and so do we.

• A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more.