Engineering Manager, Machine Learning and Data Science
sennder HQ Berlin
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingAs the Engineering Manager for our Machine Learning & Data Science team, you will lead a highly talented group of Data Scientists and ML Engineers tackling some of the most complex operational challenges in logistics.
Rather than just focusing on the "how" and the metrics of delivery (such as velocity, predictability, and engineering quality), you will be fundamentally driven by the "why"—ensuring your team’s output consistently translates into measurable business outcomes that drive real margin and efficiency gains for the company.
Manage, coach and grow a team of data scientists and ML engineers
Guide the move of R&D prototypes into production-ready ML systems
Prioritize the backlog with Product Managers around measurable ROI
Drive AI adoption within the department and beyond
Align with the Data & AI Platform team on global MLOps infrastructure
From the employer’s posting
As the Engineering Manager for our Machine Learning & Data Science team, you will lead a highly talented group of Data Scientists and ML Engineers tackling some of the most complex operational challenges in logistics. This is a dynamic, high-impact role where you will guide the strategic direction of our applied AI initiatives, while partnering closely with our Staff ML Engineer who owns the core technical architecture and technical leadership. You will champion a culture of excellence that balances rigorous engineering standards with the rapid delivery of business value.
Rather than just focusing on the "how" and the metrics of delivery (such as velocity, predictability, and engineering quality), you will be fundamentally driven by the "why"—ensuring your team’s output consistently translates into measurable business outcomes that drive real margin and efficiency gains for the company. You will partner tightly with our AI Lead Product Managers to shape a high-ROI roadmap and collaborate closely with our Data & AI Platform (MLOps) team to ensure seamless deployment. Ultimately, your job is to create an inspiring, high-trust environment where top-tier engineers are empowered to build transformative AI products.
Manage, coach, and support a high-performing team of Data Scientists and ML Engineers
Guide the team in transitioning R&D prototypes into robust, scalable, production-ready ML systems
Partner tightly with Product Managers to ruthlessly prioritize the backlog
You will drive AI adoption within the department and beyond
collaborate extensively with the Data & AI Platform team to align on global MLOps infrastructure
What you’ll bring
All qualificationsCore experience
- Leadership Experience: 3+ years of experience successfully managing and scaling an Engineering, Machine Learning, or Data Science team.
- Experience utilizing Jupyter Notebooks for exploration, workflow orchestration (Airflow or Flyte), frameworks like TensorFlow (or PyTorch), and LLM tooling (LangChain) is required to effectively review code and deeply understand your team's day-to-day challenges.
Qualification wording
Leadership Experience: 3+ years of experience successfully managing and scaling an Engineering, Machine Learning, or Data Science team.
Technical Depth: You remain highly technically fluent. You possess strong proficiency in Python, SQL, and Git, and are deeply familiar with modern ML and data stacks (Snowflake, AWS, Datadog...). Experience utilizing Jupyter Notebooks for exploration, workflow orchestration (Airflow or Flyte), frameworks like TensorFlow (or PyTorch), and LLM tooling (LangChain) is required to effectively review code and deeply understand your team's day-to-day challenges.
Education & alternatives
- Technical Depth: You remain highly technically fluent. You possess strong proficiency in Python, SQL, and Git, and are deeply familiar with modern ML and data stacks (Snowflake, AWS, Datadog...). Experience utilizing Jupyter Notebooks for exploration, workflow orchestration (Airflow or Flyte), frameworks like TensorFlow (or PyTorch), and LLM tooling (LangChain) is required to effectively review code and deeply understand your team's day-to-day challenges. - Academic Background: A PhD in a Mathematical, Statistical, Computer Science, or related quantitative field is a strong plus. - Management Craft: High emotional intelligence with a strong track record of mentoring senior talent, driving career growth, and leading teams through complex, ambiguous technical landscapes.
Tools in this posting
- Python
- SQL
- AWS
- Datadog
- Snowflake
- Airflow
- PyTorch
- TensorFlow
Source — Tool mentions in context
- Domain ML Experience: Direct, hands-on experience building, deploying, and maintaining recommender systems, pricing algorithms, or complex statistical models in a production setting. - Technical Depth: You remain highly technically fluent. You possess strong proficiency in Python, SQL, and Git, and are deeply familiar with modern ML and data stacks (Snowflake, AWS, Datadog...). Experience utilizing Jupyter Notebooks for exploration, workflow orchestration (Airflow or Flyte), frameworks like TensorFlow (or PyTorch), and LLM tooling (LangChain) is required to effectively review code and deeply understand your team's day-to-day challenges. - Academic Background: A PhD in a Mathematical, Statistical, Computer Science, or related quantitative field is a strong plus.
About Senndertechnologies-Gmbh
As Europe’s leading digital freight forwarder, we are building a smarter, faster, and more sustainable future for freight, powered by a single, unified platform that already runs our entire business.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 10, 2026 · 50 days ago
- Recorded sightings
- 50
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.gem.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
About sennder
Sennder is redefining road logistics. As Europe’s leading digital freight forwarder, we are building a smarter, faster, and more sustainable future for freight, powered by a single, unified platform that already runs our entire business. We are 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, and unlike most of our peers, we own the full loop: the platform, the operations, and the data connecting them. That closed feedback loop is a compounding advantage most competitors can’t replicate. This role exists to turn that advantage into sennder’s sharpest edge in margin, cost, and service, because AI will give us that edge if we lead, or become a risk if we lag.
Role Overview
As the Engineering Manager for our Machine Learning & Data Science team, you will lead a highly talented group of Data Scientists and ML Engineers tackling some of the most complex operational challenges in logistics. This is a dynamic, high-impact role where you will guide the strategic direction of our applied AI initiatives, while partnering closely with our Staff ML Engineer who owns the core technical architecture and technical leadership. You will champion a culture of excellence that balances rigorous engineering standards with the rapid delivery of business value.
Rather than just focusing on the "how" and the metrics of delivery (such as velocity, predictability, and engineering quality), you will be fundamentally driven by the "why"—ensuring your team’s output consistently translates into measurable business outcomes that drive real margin and efficiency gains for the company. You will partner tightly with our AI Lead Product Managers to shape a high-ROI roadmap and collaborate closely with our Data & AI Platform (MLOps) team to ensure seamless deployment. Ultimately, your job is to create an inspiring, high-trust environment where top-tier engineers are empowered to build transformative AI products.
Key Responsibilities
- People Leadership & Culture: 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.
- AI Adoption & Transformation: Champion our journey toward becoming a fully AI-native business. You will drive AI adoption within the department and beyond, continuously exploring how foundational models and agents can be leveraged to bring our internal workflows and internal products to the next level.
- Technical Enablement: Maintain a deep connection to the technical reality of your team. While your primary focus is on people and roadmap execution, you will dive into the codebase during your ramp-up and occasionally contribute to tooling or non-critical path initiatives. You will use this context to seamlessly unblock your engineers and support the Staff Engineer's architectural vision.
- Delivery & Execution: Drive agile execution and operational excellence. Guide the team in transitioning R&D prototypes into robust, scalable, production-ready ML systems, maintaining a high bar for engineering quality and predictability.
- Roadmap & Business Value: Partner tightly with Product Managers to ruthlessly prioritize the backlog. Focus the team on initiatives with clear, measurable ROI, perfectly aligning technical possibilities with sennder's strategic commercial goals.
- Cross-Functional Collaboration: Partner with your Staff ML Engineer to navigate deep technical challenges, and collaborate extensively with the Data & AI Platform team to align on global MLOps infrastructure, ensuring we build scalable and maintainable solutions.
Qualifications
- Leadership Experience: 3+ years of experience successfully managing and scaling an Engineering, Machine Learning, or Data Science team.
- Technical Foundation: 7+ years of prior experience working as a Senior or Staff Individual Contributor, with deep, hands-on experience deploying applied Machine Learning models into production environments.
- Domain ML Experience: Direct, hands-on experience building, deploying, and maintaining recommender systems, pricing algorithms, or complex statistical models in a production setting.
- Technical Depth: You remain highly technically fluent. You possess strong proficiency in Python, SQL, and Git, and are deeply familiar with modern ML and data stacks (Snowflake, AWS, Datadog...). Experience utilizing Jupyter Notebooks for exploration, workflow orchestration (Airflow or Flyte), frameworks like TensorFlow (or PyTorch), and LLM tooling (LangChain) is required to effectively review code and deeply understand your team's day-to-day challenges.
- Academic Background: A PhD in a Mathematical, Statistical, Computer Science, or related quantitative field is a strong plus.
- Management Craft: High emotional intelligence with a strong track record of mentoring senior talent, driving career growth, and leading teams through complex, ambiguous technical landscapes.
- Business Acumen: You live by "Outcome over Output." You have a sharp sense for commercial value, an ability to cut through noise, and the communication skills to expertly manage expectations with executive stakeholders and non-technical business leaders.
What we offer
- Impact: Build the data and AI foundation for Europe’s leading digital freight platform, at the moment sennder is shifting from buy-and-build to outcome-driven and AI-native.
- Vibrant Workspaces: Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan.
- Culture: Work in a fast-paced, hybrid environment with 1,100 talented, diverse colleagues from 74 nationalities. We prioritize well-being through initiatives like our sennCare program and a partnership with nilo.
- Growth & Rewards: We believe in rewarding our team for their commitment and contributions to our long-term success. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving company together.
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. If you’re excited about this role, we encourage you to apply.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
sennder HQ Berlin
- Vibrant Workspaces: Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan. - Culture: Work in a fast-paced, hybrid environment with 1,100 talented, diverse colleagues from 74 nationalities. We prioritize well-being through initiatives like our sennCare program and a partnership with nilo. - Growth & Rewards: We believe in rewarding our team for their commitment and contributions to our long-term success. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving company together.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.