Senior PM, Tech-Driven Reputation Marketing & Insights

Amazon; Seattle (WA); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon is seeking a Product Manager - Technical to own the strategy, roadmap, and delivery of a large-scale survey measurement platform. You will lead cross-functional teams across data science, policy, and engineering to define and implement scalable measurement solutions.

You will architect data integrations, manage vendor relationships, and evaluate AI capabilities to accelerate research workflows and improve analytical depth, all while navigating a fast-paced, ambiguity-filled environment.

Qualifications

• Must own and drive roadmap strategy and definition.
• Experience delivering features and evaluating tradeoffs for a product.
• Ability to engage in engineering discussions on technology decisions and strategy.
• Experience managing technical products or online services.
• Ability to represent critical customers and stakeholders in executive prioritization.
• Experience operating analytics products from prototyping to launch.
• 7+ years in product/program management, product marketing, business development or tech.
• Experience leading teams and ML/LLM fundamentals including architecture and inference lifecycles.

Responsibilities

• Define the product and technology strategy for measurement capabilities.
• Own full lifecycle of survey-based measurement products from instrument design to data integration and outputs.
• Architect the system connecting survey instruments to operational data and automate workflows with AI capabilities.

Skills

Roadmap strategy

Product management

Engineering collaboration

Executive stakeholder advocacy

Analytics product development

AI/ML fundamentals

Cloud platforms (AWS)

Version control (Git)

Data-driven decision making

Tools

AWS

SQL

NoSQL

Git

AI tooling

Job description

Amazon is seeking a Product Manager - Technical to own the strategy, roadmap, and delivery of a large-scale survey measurement platform. You will lead cross-functional teams across data science, policy, and engineering to define and implement scalable measurement solutions.

You will architect data integrations, manage vendor relationships, and evaluate AI capabilities to accelerate research workflows and improve analytical depth, all while navigating a fast-paced, ambiguity-filled environment.