Engineering Manager - Data & AI Platform (all genders)

Posted 13 Days Ago
Be an Early Applicant
Berlin
Senior level
Edtech
The Role
The Engineering Manager will lead a cross-functional team to develop and support a data and machine learning platform, driving innovation and ensuring best practices in software development. Responsibilities include managing operations for personalization features and analytics products, and fostering a data-driven culture within the team.
Summary Generated by Built In

We are looking for an Engineering Manager - Data & AI Platform to start immediately as part of our Data & AI Foundations cluster in Berlin.

Our data and machine learning platform team is responsible for enabling and supporting data and machine learning operations shaping the decisions that guide and augment our learner’s language learning journey with Babbel. Successful candidates will grow and lead the team to explore opportunities and deliver solutions at speed as well as manage expectations and build trust with stakeholders.

You will

  • Lead a cross functional team of engineers to develop and support operations on our data and machine learning platform capabilities powering engaging personalisation features, as well as customer and internally facing analytics products
  • Create business impact by leading through technological excellence and strategic architectural vision
  • Drive a data mindset in engineering to become a reliable and responsive subject matter expert

You have

  • Computer science, related engineering degree, or equivalent practical experience and 5+ years of experience in software development of platform products and data heavy applications on AWS
  • 2+ years of experience in leading and managing cross-functional teams in a data-driven environment
  • Proficiency in CI/CD, test automation and information security best practices
  • Proficiency in agile methodologies and proven ability to adapting processes to suit business needs and team dynamics
  • Experience with data pipeline architectures and big data technologies
  • Knowledge of DevOps and MLOps architectures and principles
  • Exposure to development, deployment and monitoring lifecycles of an ML or AI product
  • Good understanding of data governance best practices and compliance
  • Proficiency in Python and familiarity with at least one other programming language

Nice to have:

  • Experience with Apache Spark and DataBricks
  • Experience in designing and implementing infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or similar

Some perks of becoming a Babbelonian:

  • Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
  • Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms. 
  • Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
  • Take advantage of your mobility benefits options and a discounted Urban Sports Club membership. 
  • Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events. 

Diversity at Babbel

As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.

Top Skills

Python
The Company
HQ: Berlin
1,299 Employees
On-site Workplace
Year Founded: 2007

What We Do

Babbel is the top-selling language learning platform.

Driven by our purpose – to create mutual understanding through language – we build products that help people connect and communicate across cultures. Through self-study lessons with Babbel, instructor-led live classes with Babbel Live, Babbel for Business, our own podcast series, and our magazine, our users can focus on using a new language in real situations with real people. And it works: studies with Yale University, City University of New York, and Michigan State University prove that Babbel gets users to speak with confidence.

The key is a blend of humanity and technology. More than 60,000 lessons in 15 languages are hand-crafted by more than 200 linguists, and user behaviour is constantly analysed to shape and improve the learner experience.

The Babbel team is as diverse as our content. Based in Berlin, Germany, and New York, USA, 1,000+ Babbelonians from over 80 nationalities represent the diverse backgrounds, characteristics, and perspectives that make each person unique. Building genuine connections with our users is what sets Babbel apart, making it the world's leading language-learning platform with more than 16 million subscriptions sold.

Founded in 2007 as the pioneering online language learning platform, we've grown steadily over the years. In 2023, Babbel was honoured with a place on Fast Company's list of the World's Most Innovative Companies, ranking 4th in the Education category

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