Senior Engineering Manager - GenAI at Adyen

Adyen is seeking a Senior Engineering Manager to lead its GenAI team in Madrid. The successful candidate will be responsible for inspiring, leading, and energizing a team of machine learning scientists and engineers, maximizing their growth and careers. He/she will strategize on how this new generation of technology should be applied across the company and translate the strategy into a roadmap for the delivery of machine learning-based products. He/she will lead by example on technical matters and work closely with a Product Manager to pick the right problems and ship in time. Adyen is looking for someone with experience leading technical teams in a high-performance tech environment, with an experimental mindset and a launch-fast and iterate mentality. The ideal candidate will have experience developing, training, validating, benchmarking, and monitoring machine learning algorithms in production flows. Adyen values in-person collaboration and does not offer remote-only roles.

• Inspire, lead, and energize a team of machine learning scientists and engineers.
• Strategize on how this new generation of technology should be applied across the company.
• Translate the strategy into a roadmap for the delivery of machine learning based products.
• Lead by example on technical matters and take appropriate decisions at technical level.
• Work very closely with a Product Manager in order to pick the right problems, envision meaningful approaches, and ship in time.
• Mentor, coach and grow team members, also into leadership positions if the opportunity arises.
• Withhold and evolve Adyen’s culture in our Madrid tech hub.

• Experience leading technical teams in a high-performance tech environment.
• Experience developing, training, validating, benchmarking and monitoring machine learning algorithms in production flows.
• Experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data.
• Good understanding of software engineering practices as well as data engineering and MLOps principles.
• Ability to communicate complex outcomes with clarity over a wide range of audiences.
• Product oriented mindset.
• Experience working with product managers in delivering successful products.
• Extensive knowledge of data science and statistics techniques, toolsets and algorithms, such as e.g. Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, MLFlow or similar MLOps frameworks, Airflow.

• Opportunities for our people to succeed.
• Backed by the culture and support to ensure they are enabled to truly own their careers.
• Deliver innovative and ethical solutions that help businesses achieve their ambitions faster.