Lead and grow the Autolist engineering team, setting technical direction and delivering high-quality mobile and web experiences while partnering across product, design, and analytics to improve the consumer car-shopping journey.
Senior Director of Engineering, Product Software
📜 Description
- Set and execute product strategy for the ride-hailing platform.
- Lead end-to-end development of the app, fleet management backend, dispatch and monitoring tools, and in-vehicle experience.
- Promote strong software engineering and infrastructure automation practices to improve development efficiency.
- Partner with engineering, product, marketing, and fleet operations on product objectives and delivery.
- Build and inspire a high-performing engineering organization.
- Champion customer needs, define success metrics, and use data to drive continuous improvement.
🛠️ Requirements
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related field.
- 10+ years of extensive leadership experience, leading teams of 100+.
- Hands-on experience having deployed real products into the real world, and understanding the challenges of working with complex systems.
- Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams.
- Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Proven track record of successfully scaling large software systems, preferably in a high-growth environment.
- 5+ years of leading large relevant products from inception to delivery.
Full job description
In this role, you will:
Qualifications
Bonus Qualifications
Similar jobs
Search more Engineering Manager jobsEngineering Team Lead (Identity Verification)
Lead and mentor an engineering team while owning the design, architecture, and delivery of complex SaaS features across backend, web, and mobile in high-scale production environments.
Lead the Growth Platform organization and its multi-year strategy, unifying growth systems and applying ML and AI agents to improve targeting, experimentation, personalization, and team execution.
Lead an interdisciplinary engineering and data team building and operating machine learning systems for search, recommendations, and personalization, setting technical direction and delivering reliable solutions at scale.
Engineering Manager/Tech Lead Manager - Runtime Engineering
Leads a team building Spark compiler and runtime capabilities, setting technical direction and guiding architecture while improving workload correctness, performance, reliability, and cost-efficiency.
