Software Development Manager, SCOT WW Long Term Planning and Forecasting

Amazon • New York, NY

1d

About The Position

Join Amazon’s Supply Chain Optimization Technologies (SCOT) – Long-Term Planning
and Forecasting (LTPF) organization, where we’re transforming how millions of
customers get what they want, when they want it. We are looking for a Software
Development Manager to lead a high-impact engineering team tackling one of the
most exciting challenges in tech: predicting customer demand and planning
inventory and capacity across Amazon’s global fulfillment network.

We are a team that has fun at work while delivering meaningful customer,
business, and environmental impact. This team builds and operates highly
scalable, highly available services that power worldwide forecasting and
long-term planning for customer demand, warehouse inventory, and fulfillment
capacity. The systems you lead will improve forecasting accuracy,
explainability, and alignment across millions of products, enabling better
one-way-door decisions across Amazon’s planning horizons.

As an SDM in this space, you will work at the intersection of distributed
systems, machine learning, and supply chain optimization, solving complex
problems utilizing Amazon's massive data, sophisticated algorithms and cloud
computation infrastructure (AWS). The scope includes reinventing the planning
and forecasting systems to be immersive with Gen AI and bringing coherence to
strategic decisions across demand, inventory, and cost-to-serve

The systems to be led by this role span four major business areas:

Customer Demand Prediction – science-driven forecasting of worldwide customer
demand
Inventory Prediction – forecasting inventory units and costs, assessing current
vs. ideal inventory aligned with demand
Fulfillment Network Capacity & Topology Planning – planning hundreds of new
fulfillment assets over a multi-year horizon, while managing retrofit and
repurpose strategies across Amazon’s global network
Constraints Management – optimizing fulfillment network performance through
capacity allocation, demand shaping levers, and channel balancing decisions that
impact millions of customers, sellers, and Amazon’s financial outcomes

In this role, you will become an expert in large scale machine learning,
Artificial intelligence and optimization systems used in the management of the
most sophisticated supply chain in the world while developing a deep
understanding of Amazon's stores business. You will design and architect systems
and expand your technical depth and breadth while defining and driving key
aspects of the customer experience on Amazon.com. You will influence the design
of our core fulfillment network across multiple organizations and drive
decisions with billion-dollar impact to Amazon’s business.

About the team
We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT
is the name of a complex group of systems designed to make the best decisions
when it comes to forecasting, buying, placing, and shipping inventory.
Functionally these teams work together to drive in-stock, drive placement, drive
inventory removal and manage the customer experience. Long-Term Planning &
Forecasting (LTPF) organization develops forecasting, optimization, and
analytics products and services to plan Amazon's Topline, Inventory, and
Fulfillment Capacity and Topology, including strategic decisions and Amazon
policies to drive key business metrics. This means accelerating the Amazon
flywheel by being the definitive source for accurate predictions and bridging of
customer demand, inventory, and cube to enable optimization of decisions in the
supply chain, and Optimizing inventory efficiency, capital allocation, network's
topology, and fulfillment resources, aligning with our customer experience (CX)
and cost-to-serve (CtS) goals

Requirements

• 3+ years of engineering team management experience
• 7+ years of engineering experience
• 8+ years of leading the definition and development of multi tier web services 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
• Experience partnering with product or program management teams
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

Nice To Haves

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Responsibilities

• Lead a 2-pizza engineering team owning topline demand forecasting, inventory volume and financial forecasting, and Capacity planning systems
• Manage day-to-day execution within an Agile/Scrum environment
• Develop and mentor engineers, fostering strong career growth and engineering culture
• Balance competing priorities while delivering both short-term business outcomes and long-term strategic platform investments
• Partner closely with senior leaders, product, science, and operations teams to solve problems in ML, MLOps, optimization, and large-scale data systems
• Drive architecture, system design, and engineering excellence across scalability, reliability, and operational readiness
• Deliver step-change improvements while maintaining a high bar on customer trust and data correctness
• Define the long-term vision, strategy, and goals for your team

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed