Senior Engineering Manager, Machine Learning Platform

Key Skills

Java Programming, Python Programming, SQL, AWS, REST API, Big Data Technology, Apache Kafka, Machine learning techniques, Data science techniques, Kubernetes-K8s, Data Analytics, SPARK Programming, Apache Flink

Job Description

Nordstrom isn’t just another job — it’s a career!! We are a leading fashion retailer that has offered the very best of what is on trend for men, women, and children since 1901. We believe in rewarding outstanding work, developing employees’ careers and building long-term relationships with our customers. As a Senior Engineering Manager at Nordstrom, you will have the opportunity to combine your passion for technology and fashion to build a compelling and delightful experience for our valued customers!

We are building the road to real-time, machine-learned insights and we need your help. Imagine a world where anyone from an engineer to an executive can easily discover key data within our cloud, transform it seamlessly and use machine learning to drive actual business decisions in real time. This is an incredibly exciting opportunity and we have only just begun!

As Senior Engineering Manager for Nordstrom’s Machine Learning Platform (MLP), you will be at the heart of ML for the entire company. From computer vision to natural language processing, MLP powers more and more of Nordstrom's business metrics and decision making. As its senior leader, you will collaborate with data scientists and engineering leaders from all of Nordstrom's brands, building a platform that delights our internal customers while maintaining exceptional reliability and resiliency. While partnering closely with these teams, including your two engineering managers, you will have the opportunity to distill a wide variety of use cases into reusable engineering components, delivering them in tandem with business-driven projects. Finally, by encapsulating complexity and promoting model and service discovery, you will create a platform that truly democratizes machine learning.

As a technical leader within Nordstrom, you will raise the bar for your team, helping them to deliver their best work. You will also help each team member grow, identifying teachable moments, training and work that supports their career goals.

This is a rare opportunity to join a crucial team at a pivotal moment – I hope you join us!!

Read this first:

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single

point on the job description, please still get in touch. We'd love to chat and see what skills and experience you are able to bring to this team.

A day in the life…

• Crafts MLP’s vision and strategies to support company objectives and goals
• Contributes to architecture, coding, test plans, project plans, deployment planning and operations to drive excellence and lead organization towards its goals
• Employ continuous improvement methodologies across your team (e.g. quantifies impacts customer first, waste elimination, increased productivity, iterates quickly, shorten feedback loop, experience creating relevant KPIs).
• Leading the development of technical solutions (e.g., APIs, SDKs, etc.) that support discovering, enriching, and surfacing data across Nordstrom
• Developing and fostering a healthy and collaborative culture for your team that embodies both industry best practices and Nordstrom values
• Growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact
• Driving the roadmap and technical vision for the team, collaborate with product groups and partner teams to deliver value to our customers
• Influencing key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
• Being the bar raiser, pushing the limit on how solutions are designed and built, how systems are operated, and how we support our engineers to deliver better experiences for our customers
• Hire capable and motivated talent/teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver solutions aligned with business needs
• Influences, coaches and mentors beyond the scope of own team
• Understands, align, and communicates organization goals/strategy in addition to setting direction at the department level
• Proven record of accomplishment of applying continuous improvement methodologies across teams (e.g. quantifies impacts, customer first, waste elimination, increased productivity, iterates quickly, shorten feedback loop, experience creating relevant KPIs)

You own this if you have...

• Experience (5+ years) managing/leading a team of Managers as well as Junior & Senior Engineers achieving impactful results
• 7+ years of relevant work experience (Machine Learning, Big Data, Data Analytics…)
• Demonstrable experience owning and operating business critical systems servicing internal and external customers
• Deep experience in development, are comfortable working in code and skilled at explaining and advocating for new technologies and solutions.
• Profound care for your people and the desire to help those who want to help themselves
• Demonstrable ability to establish a vision, define a roadmap, and to execute on it
• Pragmatism You can prioritize, simplify, and make a path toward results.
• Proactive mindset You seek the best solution for the company and customer and take action without being directed
• The capability to truly listen to our customers and partners, internalize their needs and develop simple and elegant solutions that they can’t live without
• A bias towards action guided by evidence-based decision-making mindset
• Possess relevant experience with machine learning and data science concepts
• Experience in AWS, Flink, Kafka, Spark, Kubernetes and REST API is a big plus
• B.S. or M.S. degree in Computer Science or comparable experience

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources