manager software engineering Engineering Manager hybrid
$176,000 – $220,000
USD per year

About this role

Lyft is hiring a manager-level Engineering Manager in the software engineering function based in San Francisco, CA. The posting calls out experience with SQL, AWS, Kubernetes, Spark. Compensation is listed at $176,000–$220,000 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
San Francisco, CA
Department
Mapping
AI Summary
Lead a team of data scientists and analysts to drive data-driven decisions for Lyft's mapping and routing products. Develop data science strategy, provide technical guidance on complex problems, and partner with product and engineering teams to measure feature impact and improve navigation efficiency.

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Job description

from Lyft careers

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers.

To strengthen our efforts, we are hiring a Data Science Manager who will lead data scientists and data analysts helping us to make data driven decisions. Data Science & Analytics is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, measuring the impact of new features and monitoring our solutions in close collaboration with many engineering teams. You will help us solve some of the most impactful problems in mapping, including:

This is an excerpt. Read the full job description on Lyft careers →
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