Engineering Manager, Navigation Incidents

Mapbox; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Mapbox in the United States is seeking an Engineering Manager for the Incidents organization to lead high‑performing multi-disciplinary teams delivering the Incidents product using high‑scale backend services, data pipelines, and AI workflows to detect, validate, and deliver live road updates.

You’ll own day‑to‑day work, grow the team, hire and mentor, and align efforts with company priorities, serving thousands of customers who rely on Mapbox to process billions of requests daily and scale in

Qualifications

• Bachelor’s degree in Computer Science or equivalent hands-on engineering experience.

Responsibilities

• Lead multi-disciplinary teams delivering the Incidents product using high-scale backend services, data pipelines, and AI workflows.
• Manage day-to-day team work, sprint planning, and on-call responsibilities.
• Foster growth and mentorship, hiring, retaining, and expanding team capabilities.
• Collaborate with Product and Engineering to shape long-term strategy and roadmap.
• Establish and iterate on operational metrics to ensure product reliability and performance.

Education

Bachelor’s degree in Computer Science, or equivalent practical hands‑on engineering experience

Job description

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.

What We Do

We build the mission-critical engine that powers real-time navigation for global customers like BMW, Porsche, DoorDash, and Instacart. We process petabytes of geospatial data through a sophisticated blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates - from traffic jams to road closures. The intelligent AI agents we build enhance our core algorithms, ensuring Mapbox maps are as dynamic as the roads themselves and that millions of drivers reach their destinations in the most optimal way possible.

Engineers on this team develop and deliver of every stage of the incident lifecycle:

1. Intelligent Ingestion and Detection : Building automated agents to gather data and discover closures using proprietary Mapbox signals.

2. Validation and Conflation : Leveraging algorithms to invalidate stale data and merge duplicate reports into a single, high-fidelity source of truth.

3. Strategic Delivery : Designing the systems that expose this data across the entire Mapbox ecosystem.

4. AI Collaboration : Partnering with the MapGPT team to evolve our Feedback Agent, allowing us to refine the map using real-time customer insights.

As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.

What You’ll Do

As an Engineering Manager supporting our Incidents organization, you will lead innovative and high-performing multi-disciplinary teams who are building the Incidents product using a blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates.

You will be responsible for driving your team’s day-to-day work, fostering the growth and development of the people on the team, and aligning the team’s work with the company’s priorities. Thousands of customers rely on Mapbox services to seamlessly handle billions of requests every day and scale in real-time to global events. You will drive solutions that remain robust, reliable, and innovative in a fast-evolving technological landscape.

• Deliver complex, high-impact projects while providing technical expertise and mentorship to your team.

• Operate your team’s day-to-day and be hands-on in project management and sprint planning.

• Manage operational best practices for on-call and related responsibilities.

• Empathize with internal and external customers delivering features that address their needs.

• Manage and develop the team through hiring, retaining, mentoring, and continually building the team’s capabilities.

• Drive company, product, and team objectives, carrying your team and relevant stakeholders along in the decision-making.

• Work with Product and Engineering teams to develop the long-term business strategy driving the team’s work.

• Establish, track, and iterate on operational metrics to ensure the team is delivering products that meet or exceed customer expectations.

• Determine best engineering practices and promote them within the team and across Mapbox.

• Foster a culture of collaboration, innovation, diversity, and data-driven decisions on the team.

What We Believe are Important Traits for This Role

• Required Education/Certification: Bachelor’s degree in Computer Science, or equivalent practical hands‑on engineering experience.

• Technical Skills & Tools (Must-Haves):

• Core Competencies & Scope:

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value high-performing creative individuals who dig into problems and opportunities.

• We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.

• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

Employment Requirements

• Employment Type: Full-time

• Weekly Hours: Full-time

• Location/Hybrid Policy: Remote

By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.

We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

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