About Lyft
The friendly ride-sharing alternative to Uber
Key Highlights
- Headquartered in San Francisco, CA
- Over 100 million rides completed
- $4.9 billion raised in funding
- Acquired PBSC Urban Solutions in 2022
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
🎁 Benefits
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
🌟 Culture
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Overview
Lyft is hiring an Engineering Manager for their Applied AI team to drive the technical strategy for integrating AI into their services. You'll lead a high-performing team focused on designing robust user experiences. This role requires strong leadership and technical direction.
Job Description
Who you are
You have a strong background in engineering management, with experience leading teams in fast-paced environments. You understand the importance of organizational transparency and career development, and you are committed to mentoring your team members to help them thrive. You are flexible and enjoy solving complex challenges, ensuring that your team remains efficient and focused on their goals.
You have a passion for technology and a keen interest in AI, particularly in how it can enhance user experiences. You are comfortable with both the technical details of your team's work and providing high-level strategic direction. You believe in building inclusive teams that foster a sense of ownership and collaboration among members.
What you'll do
As the Engineering Manager for the Applied AI team, you will set the technical vision and strategy for integrating Lyft into emerging AI ecosystems. You will lead the AI Entries team, guiding them in designing and implementing innovative user experiences that leverage AI technologies. Your role will involve removing obstacles for your team, ensuring they can ship code to production efficiently and effectively.
You will be responsible for mentoring and developing your team members, helping them grow in their careers while maintaining a high standard of technical excellence. You will collaborate closely with other teams to ensure that the AI initiatives align with Lyft's overall goals and objectives. Your leadership will be crucial in driving the success of the AI Entries team and transforming the customer journey through novel interaction layers.
What we offer
At Lyft, we cultivate a work environment where all team members belong and have the opportunity to thrive. We offer competitive compensation and benefits, along with a culture that values transparency and collaboration. You will have the chance to work on cutting-edge technology and make a significant impact on how Lyft interacts with its users through AI. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Lyft.
Similar Jobs You Might Like
Based on your interests and this role
Ai Engineer
Guidepoint is seeking a Senior AI Engineer to develop cutting-edge Generative AI and analytical capabilities. You'll work with Databricks and MLOps to build scalable AI-driven data products. This role requires significant experience in AI and machine learning.
Ai Engineer
Guidepoint is hiring an AI Engineer to design and implement AI systems that automate compliance and editorial workflows. You'll work with technologies like LangChain and REST APIs in a hybrid role based in Toronto.
Ai Engineer
Guidepoint is seeking an AI Engineer to join their Toronto-based AI team. You'll design and implement AI systems and agents, focusing on compliance and editorial workflows while working with technologies like LangChain and REST APIs. This role requires experience in AI and machine learning.
Ai Engineer
Guidepoint is hiring an AI Engineer to design and maintain production agent systems for their conversational AI assistant, AskGP. You'll work with technologies like Python and AWS to enhance client experiences. This position requires experience in machine learning and natural language processing.
Ai Engineer
Guidepoint is hiring a Senior AI Engineer to design and operate scalable AI systems and backend platforms. You'll work with technologies like Python and Elasticsearch to build production-grade AI agents. This position requires significant experience in AI and machine learning.