Engineering Manager
Munich, Germany
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.At Lyft, our mission is to improve people’s lives with the world’s best transportation.
Our transportation network serves millions daily, relying on a map that reflects the constantly changing real world. Our systems leverage insights from driving locations, sensor data, and user feedback to provide the best possible service. This empowers us to optimize routes, recommend ideal transport modes, ensure safe drop-off locations, and much more.
The Map Data team is looking for a passionate Engineering Manager to lead our Map Tooling product line. You will oversee the tools that help us visualize map data, debug issues, and drive our Human-In-The-Loop platform, which powers map updates and machine learning curation. This role is crucial in ensuring we can help people get where they need to go smoothly and reliably.
Responsibilities:
- Set the technical vision and strategy for Map Tooling.
- Collaborate with engineering leadership and cross-functional partners to understand needs and requirements.
- Work with your engineers and stakeholders to maintain a prioritized backlog and create short term and long term goals.
- Lead the team of frontend, backend, as well as QA engineers, that are collaborative, inclusive, and respectful.
- Maintain a balance between building sustainable, high-impact projects and efficient delivery.
- Instill a spirit of continuous improvement in the team’s code, architecture, and processes.
- Coach and guide the professional and technical development of your team members.
- Manage partnership with the Lyft recruiting team to hire high potential candidates from diverse backgrounds.
Experience:
- BS/MS or equivalent degree in Computer Science or a related technical field.
- 3+ years of experience managing engineering teams, ideally with experience in frontend tooling.
- Strong proficiency in both backend (Python, Go, Java, or C++) and frontend (JavaScript, React.js) technologies, and familiarity with cloud platforms (AWS, GCP, Azure, etc.).
- Previous experience dealing with data pipelines, ETL, and geospatial databases (PostGIS, BigQuery, etc.).
- Proven ability to contribute to technical planning and design discussions.
- Extensive experience in leading, mentoring, and developing high-performing engineering teams.
- Demonstrated success in building motivated teams with a strong sense of ownership and driving projects to completion.
- Experience in building and scaling products to meet evolving company needs.
Advantageous would be:
- Experience in geo-visualization, GIS tools, mapping infrastructure, or related fields.
- Familiarity with front-end mapping libraries (Mapbox, Leaflet, Cesium, etc.)
Benefits:
- Pension scheme with 4% employer contribution
- Risk and Accidental Death & Dismemberment benefits
- Mental health benefits
- Family building benefits
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- 30 days of paid time off in addition to 10 observed holidays
Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your Recruiter if you wish to make such a request.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure BigQuery Computer Science Data pipelines Engineering ETL GCP Java JavaScript Machine Learning Pipelines Python React
Perks/benefits: Career development Health care Parental leave
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