Software Development Manager, Geospatial

Description

Build the routing engine behind every Amazon delivery. Planet-scale pathfinding that runs a trillion route calculations a day at microsecond latency, shaping how millions of packages reach customers safely and on time, every day.

We're seeking a Software Development Manager to lead the Transit Intelligence team in Bellevue. The team owns the road network and routing foundation for Amazon Last Mile: road network construction and vending, pathfinding and transit time estimation. These systems compute how long it takes to get from A to B and what the safest path is, at two extremes of scale at once. Navigation needs answers in milliseconds in real time; route planning needs the full origin-by-destination product, adding up to over 1.2 trillion pathfinding calculations across the fleet each day.

The SDM will lead a team of software engineers building the algorithms and infrastructure behind this scale: effective precomputation, succinct graph representations and the caching, sharding, and vending strategies that turn a continent-scale road graph into microsecond lookups. SDM will be responsible for logic in service that fuses real-time traffic with historical movement profiles and returns time, distance, and a path risk signal, so the routes it produces optimize for safety alongside speed. The role requires someone who can hold both the low-latency navigation workload and the high-throughput planning workload in view at once.

Key responsibilities include:
- Leading a team of software engineers who own road network construction and vending, pathfinding, and transit time estimation for Amazon Last Mile.
- Partnering with Planning systems teams who solve the Traveling Salesman Problem at very high throughput, and owning the API contracts and accuracy bar those solvers depend on.
- Working with Safety teams on routing and path-risk accuracy.
- Partnering with Science teams on the models behind time estimation and integrating those models into production routing.
- Owning transit time estimation quality end to end, including planned-versus-actual analysis and the underestimation and overestimation that drive downstream planning and customer promise.
- Managing technical roadmaps that balance new capability against the operational excellence a Tier-1 service demands.
- Developing engineering talent and building a deep, resilient team with clear technical ownership.
- Writing narratives and influencing VP-level technical decisions.

The technical environment includes large-scale distributed systems, graph algorithms and pre-computation pipelines, real-time data ingestion, AWS, and ML model integration. Scale includes continent-scale road networks, Tier-1 availability and latency SLAs.

Amazon's Geospatial teams operate with a safety-first culture. The role requires someone who can operate a high-throughput, low-latency service at scale and is comfortable navigating ambiguity and dense cross-team dependencies. This role reports to a Senior Software Development Manager within the Geospatial organization.


Key job responsibilities
Key responsibilities include:
- Leading a team of software engineers who own road network construction and vending, pathfinding, and transit time estimation for Amazon Last Mile.
- Driving technical strategy for precomputation, graph representation, and the caching, sharding, and vending architecture behind both the low-latency navigation workload and the high-throughput planning workload.
- Partnering with Planning systems teams who solve the Traveling Salesman Problem at very high throughput, and owning the API contracts and accuracy bar those solvers depend on.
- Working with Safety teams on routing and path-risk accuracy.
- Partnering with Science teams on the models behind time estimation and integrating those models into production routing.
- Owning transit time estimation quality end to end, including planned-versus-actual analysis and the underestimation and overestimation that drive downstream planning and customer promise.
- Managing technical roadmaps that balance new capability against the operational excellence a Tier-1 service demands.
- Developing engineering talent and building a deep, resilient team with clear technical ownership.
- Writing narratives and influencing VP-level technical decisions.

About the team
The Transit Intelligence team owns the road network and routing foundation for Amazon, spanning across Last Mile, Middle Mile and beyond. We compute how long it takes to get from A to B and what the safest path is, through road network construction and vending, pathfinding, and transit time estimation, running over a trillion route calculations a day. Our accuracy directly impacts planning, customer promise, and transporter safety.

Basic Qualifications

- 3 years of engineering team management experience
- 7 years of working directly within engineering teams experience
- 3 years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

Preferred Qualifications

- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.