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Senior Engineering Manager - GenAI

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Adyen

16d ago

  • Job
    Full-time
    Senior Level
  • Data
    Engineering
  • Madrid

AI generated summary

  • You have experience leading technical teams, developing ML algorithms, leveraging big data frameworks, and a product-oriented mindset. Strong skills in data science tools and GenAI knowledge are a plus.
  • You will lead and inspire a team, strategize ML technology application, create product roadmaps, mentor team members, collaborate with product management, and uphold company culture in Madrid.

Requirements

  • You have experience leading technical teams in a high-performance tech environment.
  • You see your role as an enabler for others and create an environment that makes the team deliver.
  • You have an experimental mindset with a launch fast and iterate mentality.
  • You have experience developing, training, validating, benchmarking and monitoring machine learning algorithms in production flows.
  • You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data.
  • You have a good understanding of software engineering practices as well as data engineering and MLOps principles.
  • You are able to communicate complex outcomes with clarity over a wide range of audiences.
  • Product oriented mindset. Experience working with product managers in delivering successful products.
  • Technologies: 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.
  • Knowledge of the GenAI landscape is a great plus. We do think that anyone with solid fundamentals in ML and Data Science is capable of onboarding themselves to the GenAI landscape quite quickly. Hence, it's not a must.

Responsibilities

  • Inspire, lead, and energize a team of machine learning scientists and engineers. Maximize their growth and careers.
  • Strategizing on how this new generation of technology should be applied now, and over time, across the company.
  • Translate the strategy into a roadmap for the delivery of machine learning based products, as well as its operationalization in live flows.
  • Lead by example on technical matters and take appropriate decisions at technical level. As such we expect a thorough experience in the areas of machine learning, data science and data/ML/software engineering.
  • 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.

FAQs

What is the job title for this position?

The job title is Senior Engineering Manager - GenAI.

Where is this position located?

This role is based out of our Madrid office.

What kind of technology does the team work with?

The team works with Generative AI, machine learning, and a variety of data science and software engineering tools and frameworks.

What are the primary responsibilities of the Senior Engineering Manager - GenAI?

The primary responsibilities include inspiring and leading a team of machine learning scientists and engineers, strategizing the application of new technologies, translating strategy into a product delivery roadmap, mentoring team members, and evolving Adyen's culture in Madrid.

What qualifications are necessary for this role?

Candidates should have experience leading technical teams, a background in developing and monitoring machine learning algorithms in production, knowledge of big data frameworks, an understanding of software engineering and data engineering practices, and excellent communication skills.

Is knowledge of the GenAI landscape required for this position?

Knowledge of the GenAI landscape is a plus, but it is not a requirement as candidates with solid fundamentals in ML and Data Science can onboard themselves to the GenAI landscape quickly.

What qualities does Adyen look for in candidates?

Adyen looks for candidates who are enablers for others, have an experimental mindset, a product-oriented approach, and the ability to communicate complex outcomes clearly to diverse audiences.

What is Adyen's commitment to diversity, equity, and inclusion?

Adyen values a diverse workforce and encourages individuals from all backgrounds to apply, recognizing that varied perspectives enhance problem-solving and innovation.

How long does the interview process typically take?

The interview process typically takes about 4 weeks to complete, though it may fluctuate depending on the role.

How soon can candidates expect to hear back after applying?

Candidates can expect to hear back regarding their application within 5 business days.

Does this role offer remote-only options?

No, this is an office-first role and does not offer remote-only options.

Meet the financial technology platform helping the world’s leading businesses achieve their ambitions faster.

Finance
Industry
1001-5000
Employees
2006
Founded Year

Mission & Purpose

Adyen is a global payments company that provides businesses with a unified platform to process payments across online, mobile, and in-store channels. Its technology allows companies to accept payments from anywhere in the world and manage transactions securely and efficiently. Adyen's ultimate mission is to help businesses grow by providing them with the tools to simplify payments and improve customer experiences. Their purpose is to drive innovation in the payments industry, making transactions seamless and accessible for both businesses and consumers globally.