Engineering Manager – AI-Driven Incidents Platform

Engineering Manager – AI-Driven Incidents Platform

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a talented team to build AI-driven road incident solutions and manage daily operations.
  • Company: Mapbox Inc., a leader in real-time mapping technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a collaborative environment that values innovation and data-driven decisions.
  • Why this job: Make a significant impact on live road updates and enhance user experiences.
  • Qualifications: Experience in engineering management and a passion for AI technologies.

The predicted salary is between 70000 - 90000 Β£ per year.

Mapbox Inc. is seeking an Engineering Manager for the Incidents organization to lead a high-performing, multi-disciplinary team building the Incidents product with backend services, data pipelines, and AI Agentic workflows to deliver live road updates.

You will drive day-to-day work, mentor engineers, manage on-call responsibilities, and align priorities with product and company goals.

Mapbox serves billions of requests daily and values collaboration and data-driven decisions.

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Engineering Manager – AI-Driven Incidents Platform employer: Mapbox Inc.

Mapbox Inc. is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about technology and data-driven solutions. With a focus on employee growth, you will have ample opportunities to mentor and lead a talented team while contributing to impactful projects that serve billions of users daily. Located in a vibrant tech hub, Mapbox offers a dynamic environment where creativity thrives and every team member's contribution is valued.

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Contact Details:

Mapbox Inc. Recruitment Team

We think you need these skills to ace Engineering Manager – AI-Driven Incidents Platform

Team Leadership
Mentoring
Project Management
Backend Services Development
Data Pipeline Management
AI Workflows
Collaboration