AI Engineering Team Lead

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 ~250,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,900 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 fully embrace the AI revolution and equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools, and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster.

The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure.

As a Team Lead – AI Search & Infrastructure, you will:

• Take ownership of complex technological problems, especially in the areas of search quality, ML model evaluation, and large-scale production deployment.
• Lead and mentor a team of AI engineers, data scientists, and ML Ops specialists, fostering a strong engineering culture and high standards.
• Define and drive the long-term technical strategy for AI search and infrastructure, ensuring alignment with company priorities.
• Drive search benchmarking and evaluation—vector search, lexical search, embeddings, cross-encoders, and hybrid scoring models—while translating results into actionable product direction.
• Guide the team in building and operating a robust ML platform, including observability, cost monitoring, release pipelines, and disaster recovery.
• Oversee production readiness of ML models (PI and open-source), ensuring they remain reliable, scalable, and efficient.
• Partner with Product, Design, and R&D to ensure AI-driven features are developed, deployed, and scaled to millions of users.
• Balance hands-on technical work with leadership responsibilities, ensuring you remain deeply engaged with the systems your team owns.
• Act as a key member in group leadership forums, influencing technical investments and long-term AI strategy at monday.com.

• 5+ years of experience in Data Science, ML Engineering, or ML Ops, including deploying models into production at scale.
• 2+ years of leadership experience, managing or mentoring technical teams and leading projects end-to-end.
• Hands-on expertise in:
• Search & information retrieval (vector search, lexical search, embeddings, cross-encoders).
• ML Ops practices (observability, CI/CD, on-call, pipelines, recovery strategies).
• Optimizing performance and costs (GPU/CPU utilization, parallelization).
• Proven ability to translate research into production systems, bridging data science and operations.
• Strong technical communication skills—able to align engineers, product managers, and leadership.
• A team player with empathy, ownership, and a passion for solving hard problems in a fast-paced environment.
• Bonus: Experience with fine-tuning models on proprietary data, or evaluating trade-offs between generalization vs. product-specific performance.

What monday.com can offer you:

• From Monday to Wednesday, we'll fuel your day with free breakfast and lunch in the office.
• Enjoy private medical care and Multisport card to keep you healthy.
• We've got you covered with life insurance.
• We care of employee's mental health as well - you will get access to Calm Mindfulness App.
• Get awesome discounts on our partners' products and services.
• Join in on our fun team events and get-togethers.
• Look forward to a little something special from us during your birthday and work anniversaries.
• For Online Learning opportunities, you will gain access to LinkedIn Learning.