Engineering Manager, Machine Learning and Data Science at sennder Technologies GmbH | BE, DE | Rezi

Engineering Manager, Machine Learning and Data Science at sennder Technologies GmbH

Engineering Manager, Machine Learning and Data Science

sennder Technologies GmbH · BE, DE

1 weeks ago

Engineering Manager, Machine Learning and Data Science

sennder Technologies GmbH · BE, DE

13 days ago
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About the Role

Lead a talented group of Data Scientists and ML Engineers tackling complex logistics challenges. Guide strategic AI initiatives, partner with technical leads, and foster a culture of excellence balancing rigorous engineering with rapid delivery of business value. Focus on measurable business outcomes and create an inspiring environment for building transformative AI products.

Responsibilities

  • Manage, coach, and support a high-performing team of Data Scientists and ML Engineers.
  • Foster a highly motivating, inclusive team spirit, creating an inspiring workplace where engineers feel empowered, challenged, and psychologically safe to innovate.
  • Champion the journey toward becoming a fully AI-native business.
  • Drive AI adoption within the department and beyond, exploring how foundational models and agents can be leveraged.
  • Maintain a deep connection to the technical reality of your team.
  • Dive into the codebase during ramp-up and occasionally contribute to tooling or non-critical path initiatives.
  • Use technical context to unblock engineers and support the Staff Engineer's architectural vision.
  • Drive agile execution and operational excellence.
  • Guide the team in transitioning R&D prototypes into robust, scalable, production-ready ML systems.
  • Maintain a high bar for engineering quality and predictability.
  • Partner tightly with Product Managers to prioritize the backlog.
  • Focus the team on initiatives with clear, measurable ROI, aligning technical possibilities with sennder's strategic commercial goals.
  • Partner with the Staff ML Engineer to navigate deep technical challenges.
  • Collaborate with the Data & AI Platform team to align on global MLOps infrastructure.
  • Ensure scalable and maintainable solutions are built.

Requirements

  • 3+ years of experience successfully managing and scaling an Engineering, Machine Learning, or Data Science team.
  • 7+ years of prior experience working as a Senior or Staff Individual Contributor.
  • Deep, hands-on experience deploying applied Machine Learning models into production environments.
  • Direct, hands-on experience building, deploying, and maintaining recommender systems, pricing algorithms, or complex statistical models in a production setting.
  • High technical fluency.
  • Strong proficiency in Python, SQL, and Git.
  • Deep familiarity with modern ML and data stacks (Snowflake, AWS, Datadog...).
  • Experience utilizing Jupyter Notebooks for exploration.
  • Experience with workflow orchestration (Airflow or Flyte).
  • Experience with frameworks like TensorFlow (or PyTorch).
  • Experience with LLM tooling (LangChain).
  • High emotional intelligence with a strong track record of mentoring senior talent.
  • Proven ability to drive career growth.
  • Experience leading teams through complex, ambiguous technical landscapes.
  • Sharp sense for commercial value.
  • Ability to cut through noise.
  • Communication skills to expertly manage expectations with executive stakeholders and non-technical business leaders.

Skills

  • Python
  • SQL
  • Git
  • Snowflake
  • AWS
  • Datadog
  • Jupyter Notebooks
  • Airflow
  • Flyte
  • TensorFlow
  • PyTorch
  • LangChain
  • Machine Learning
  • Data Science
  • MLOps

Location

  • Berlin
  • Amsterdam
  • Milan
  • Wroclaw

Work Type

  • Hybrid

Experience Level

  • 3+ years management experience
  • 7+ years individual contributor experience

Education Level

  • PhD in a Mathematical, Statistical, Computer Science, or related quantitative field is a strong plus.

Benefits

  • Healthy snacks
  • Focus zones
  • Social areas
  • sennCare program
  • Partnership with nilo
  • Performance bonuses
  • Referral rewards
  • Equity

About the Company

  • Sennder is redefining road logistics.
  • Europe’s leading digital freight forwarder.
  • Building a smarter, faster, and more sustainable future for freight, powered by a single, unified platform.
  • Moving from a decade of growth through acquisition to a company that is outcome-driven, outward-focused, and AI-native by design.
  • Logistics is one of the best possible use cases for AI.
  • Own the full loop: the platform, the operations, and the data connecting them.
  • This role exists to turn that advantage into sennder’s sharpest edge in margin, cost, and service.

Equal Opportunity

  • Sennder values diversity, humility, and passion.
  • We welcome applications from individuals who may not meet every qualification listed but share our ambition and drive to make an impact.