Senior Engineering Manager (Ad Performance Recommendation)

• We are seeking a Senior Engineering Manager to join our 200+ product development organization and lead our Ad Performance Recommendation team.
• The team is responsible for developing an innovative AI-powered system that leverages marketing ad tech data and various data sources to identify performance signals and generate actionable recommendations for digital advertisers and marketers
• As part of the AI Platform organization, you will lead a multidisciplinary team of Data Scientists, ML Engineers, and Software Engineers working to accelerate AI adoption and development across Smartly’s Media, Creative, and Intelligence suite.
• The team ensures compliance with privacy, security, and ethical guidelines
• This is an opportunity to define the vision and strategy for ML and Data Science applications, drive execution on ambitious goals, and champion AI and ML excellence throughout Smartly
• Lead and grow the Ad Performance Recommendation team, providing technical direction, strategic vision, and hands-on leadership
• Drive the development of AdTech-specific ML models foundational AI capabilities (e.g. predictive and simulation techniques) and explore novel approaches that can be applied across Smartly’s products. Optimize existing models for performance, efficiency, and scalability
• Collaborate cross-functionally with other teams to ensure AI-driven features deliver measurable business and customer impact
• Ensure compliance with privacy, security, and ethical AI standards in ML applications
• Foster a strong engineering culture focused on innovation, quality, and continuous improvement
• Mentor team members through coaching, 1:1s, and career development plans
• Remove obstacles to enable your team to thrive and deliver exceptional results
• Partner with recruiting to help scale the team by actively sourcing and closing the best talent
• Partner with other leaders in the AI Platform to shape Smartly’s long-term AI strategy and architecture

Benefits

• Career development opportunities, bonus programs and annual performance reviews
• Hybrid working model, with the option to work abroad for up to 30 days
• Company equity options program
• Paid holidays, OOO time and family leaves
• Generous healthcare packages and mental health services- Able to mentor, coach, and develop data scientists and machine learning engineers
• Ability to drive both technical excellence and cross-functional collaboration
• Understanding of security and compliance requirements when working with personal data
• A pragmatic mindset. We always aim to create value to our customers. We’re also working on production systems and our customers’ business depends on it
• 3+ years of experience in leading teams
• Ability to work 3 days / week at our office
• Competent with key technologies in ML; PyTorch, TensorFlow, Python, SQL
• 5+ years of experience in applying machine learning to real-life problems
• Proven experience in delivering scalable ML systems in production. You will need to be hands-on when coaching the team members to new technical and professional heights, which can involve code reviews, pair programming, etc
• Curiosity and the drive to continuously learn through study and experimentation on the job
• Excellent communication skills, written and spoken English
• 7+ years of experience in building services and products
• M.Sc. or Ph.D. in a relevant field (Mathematics, CS, AI, Physics, …)