Product Manager 2 - Experimentation, Observability & Platform Infrastructure (Hybrid - Seattle)

We are looking for a Product Manager 2 to own the experimentation, observability, and platform infrastructure capabilities that power Nordstrom's digital experience.  

This role sits at the intersection of engineering infrastructure and product delivery. You'll define roadmaps, make prioritization tradeoffs, and help Nordstrom's platform evolve at a moment when the tools teams use to experiment, monitor, and ship software are changing fast. Every experiment run on the site, every real time analytics insight surfaced, and every build that goes through the release pipeline touches your portfolio. Your decisions directly impact the velocity and quality of work for 15+ product and engineering teams.  

A Day in the Life... 

Product Strategy and roadmap: Define and drive the product roadmap for experimentation and platform infrastructure, ensuring alignment with Nordstrom’s engineering strategy and broader digital product goals. Evaluate where AI and automation can accelerate roadmap delivery or unlock new platform capabilities. Evangelize the roadmap with stakeholders across Engineering, Product, Digital Merchandising and Analytics. 

AI exploration: Nordstrom is actively exploring how AI can improve experimentation and monitoring workflows. This role won't come with a fully baked AI roadmap. The PM in this role will help determine where AI adds real value to our platform capabilities, build the case to invest, and execute on the bets that clear the bar. 

Technical Vendor Management: Own vendor relationships with partners including Optimizely and Quantum Metric, defining platform roadmap requirements, feature prioritization, integration needs, and performance expectations.  

Platform health and measurement: Define and monitor KPIs across your portfolio. Use those metrics to make investment decisions. Stay current with emerging practices in frontend platform engineering and experimentation tooling. 

Product execution and delivery: Write user stories, acceptance criteria, and technical requirements for platform features, tooling improvements, vendor integrations, and infrastructure upgrades. Define clear definitions of done and measurement plans. Own launch plans including UAT, communication, change management, and post-launch validation. Work with engineering to drive progress through day-to-day backlog management, agile ceremonies, and release planning. 

Collaboration and Influence: Partner with Engineering Manager and Tech Leads to align on priorities and execution. Collaborate with Engineering, Product, Analytics, Digital Merchandising teams, depending on your platforms. 

What We Value 

• Genuine passion for your product and, most importantly, your customers (developers, product managers, business stakeholders) 

• Curiosity and learning 

• Collaboration and diversity of thought 

• Evidence-based outcomes 

• Speed to market and progress over perfection 

• Accountability 

Qualifications 

• 3+ years as a PM working on internal platforms, developer tools, or experimentation infrastructure. 

• Strong technical aptitude with ability to engage on topics like A/B test statistical validity, feature flag architecture, and digital experience analytics without needing everything translated. 

• Excellence at working with both technical and non-technical stakeholders, aligning diverse teams through clear, persuasive communication. 

• Outstanding organizational and time management skills with ability to manage multiple workstreams simultaneously  

• Self-starter with strong drive and meticulous attention to detail, able to own initiatives end-to-end while ensuring nothing falls through the cracks  

• Bachelor's degree in computer science, Engineering, or a related technical discipline preferred, or equivalent combination of education and experience 

Preferred 

• Experience managing vendor relationships, evaluating third-party platforms, and translating business requirements into technical specifications 

• Experience with experimentation platforms (Optimizely, StatSig) or product analytics tooling (Quantum Metric, FullStory, Amplitude)