ADCI
e-commerce
Sr.ProductManager–Tech,CMT
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“Sr. Product Manager – Tech, CMT at ADCI. Skills: Product strategy, ML model productionization, Large-scale systems. Own product strategy end-to-end. Identify customer problems”
What You'll Achieve.
Improve accuracy; Improve coverage; Improve speed
Industry & Context.
Problem formulation; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years product management experience, Experience with feature delivery, Experience owning roadmap strategy, Experience with end-to-end product delivery, Experience contributing to engineering discussions, Experience managing technical products, Experience advocating for customers
Nice to Have
Experience building AI products, Experience building ML products, Experience building NLU products
What You'll Do.
Own product strategy end-to-end
Identify customer problems
Drive delivery with engineering
Drive delivery with science teams
Drive technical product decisions
Define and track metrics
Partner with Applied Science
Define model objectives
Evaluate precision-recall trade-offs
Design validation frameworks
Productionize ML/LLM models
Manage cross-team dependencies
Write compelling narratives
Represent CMT in forums
Serve as Voice of the Customer
Generalize requirements
Work backward from customer needs
Interact directly with customers
Conduct customer research
Analyze competitive landscape
Define problem statement
Make crisp trade-offs
Challenge assumptions
Reason from first principles
Distinguish one-way/two-way door decisions
Drive rapid experimentation
Ensure appropriate rigor
Understand product business context
Understand market dynamics
Understand competitive landscape
Understand pricing outcomes
Enable faster learning cycles
Accelerate development
Make better decisions
Unlock new innovation
Understand core technologies
Evaluate technical proposals
Assess agentic AI capabilities
Enhance product design
Complicate product design
Define model requirements
Evaluate model performance
Drive productionization of models
Participate in architecture reviews
Probe scalability decisions
Probe performance trade-offs
Probe technical debt implications
Balance feature delivery with system health
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Engineering teams; Science teams; Operations teams; Business teams; Downstream pricing systems; Upstream data infrastructure; Partner teams
Communication Scope
Compelling narratives; Executive presentations
Process & Methodology
Roadmap planning, Prioritization
Full Job Description
We are looking for a Senior Product Manager - Technical to own and drive product strategy within CMT. This is a science-intensive role where ML and AI are central to how you will solve problems. You will partner closely with Applied Scientists across the full science lifecycle: from problem formulation and experimentation design through model development, evaluation, productionization, governance and continuous improvement. A strong understanding of how science creates customer value and the judgment to make trade-offs between model complexity, accuracy, latency, and business impact is essential. You will also think about and make architectural decisions for large-scale distributed systems that process billions of events per day with strict latency, accuracy, and freshness requirements systems where every design choice has downstream consequences at Amazon's scale. You will define the vision, build the roadmap, and drive delivery of scalable solutions that improve the accuracy, coverage, and speed of competitive price intelligence. Problem, opportunity, and strategy may not be defined - you will use expertise and judgment to determine the right goals and design long-term solutions. You will operate with significant autonomy, take calculated risks in pursuit of breakthrough results, and influence cross-functional stakeholders across tech, science, operations, and business teams. Key job responsibilities * Own product strategy for your workstream end-to-end- from identifying customer problems, defining requirements, prioritizing the roadmap, and driving delivery with engineering and science teams * Drive technical product decisions on large-scale distributed systems processing billions of events daily- data pipelines, ML model integration, and matching/classification algorithms * Define and track metrics that measure the health and impact of your product area (coverage, accuracy, freshness, latency, model precision/recall) * Partner deeply with Applied Science to defi
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