.At Preply, we are unlocking human potential through learning.We believe learning with a great tutor is life-changing. That's why we match online tutors from across the globe with learners and empower them to create live language classes with AI-powered tools and learning materials. This is how we deliver progress, create engagement and keep our global community of learners motivated. So far, over 32,000 tutors have given more than 15 million lessons to learners from over 175 countries.The Preply Engineering Team provides the tools to help unlock human potential through learning.We work primarily with Python/Django to build scalable and robust applications. We implement A/B tests to prove the value of our initiatives and improve our product based on data and students and tutors feedback. As part of our commitment to ensuring high-quality products, we prioritize monitoring and metrics analysis to identify areas for optimization and ensure our services are performing at their best. Our team is made up of talented engineers who are passionate about solving complex problems and developing innovative solutions to drive our company's success.At Preply, we release our product 50-60 times per day by leveraging top-notch CI/CD processes. As a fast-growing company we have diverse technical challenges (sometimes we even write about them on our Engineering Blog) that will allow you to develop your skills at scale.Meet the team!As an Engineering Manager for AI Teams you will build, lead and align the engineering team with Preply vision. You will be a key contributor to innovative GenAI projects within Preply that will give our tutors AI-superpowers and our students tools to help reach their learning goals faster. The manager's main function is not about executing everything by themselves, but rather setting up a favourable environment that will improve the execution process and make it more efficient over time. Engineers from 1-3 product squads(~12 people) will report to this position.What you'll be doing:* Act as a champion for the adoption of GenAI within the organization maximizing value for our users, for preplers and for the business; * Build new and grow existing AI cross-functional teams. Interview new candidates and schedule 1:1 with existing employees, perform quarter reviews, and salary reviews; * Guide and coach the team to build successful AI/ML-powered features; * Collaborate with the engineering team to make decisions regarding AI/ML infrastructure, architecture, and scalability. Making decisions on building or buying, choosing 3rd party providers, building and supporting relationships with them; * Develop, inspire, mentor, and evaluate the engineering team. Ensure dev. culture to be customer-centric; * Drive business impact.Define, measure, and improve developers goals, ensure OKR completion > 80%;* Improve engineering quality and efficiency (e.G. improve workflow, code review, etc.); * Create a positive teamculture (e.G
