Responsibilities

• Own the product strategy, roadmap, and delivery of internal applications and operational platforms that streamline workflows across Reputational Marketing & Insights (RMI).
• Own a portfolio of applications that serve as the operational backbone of a fast-moving marketing organization — from audience management and campaign budgeting to media measurement and workflow automation.
• Define product strategy, feature design, and technology approach.
• Deliver independently with limited guidance.
• Identify where manual processes create drag and define product solutions that scale with media, research, measurement, data science, and public policy teams as well as external agency partners.
• Evaluate and leverage AI/ML tools, large language models, and agentic frameworks to accelerate development and augment team capabilities — understanding the strengths, limitations, and appropriate use cases for each.
• Align stakeholders across competing priorities, making smart trade-offs between speed-to-delivery and robustness, flexibility and standardization.
• Define technical requirements — including APIs, data integrations, cloud architecture, and AI-assisted workflows — and articulate when a new technology is needed (and when it is not).
• Influence the strategic direction of how the team operates by building tools that change what's possible.
• Accountable for product adoption, process efficiency gains, and stakeholder satisfaction.

Requirements

• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience managing technical products or online services
• Experience representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
• 7+ years of product or program management, product marketing, business development or technology experience
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization
• Demonstrated ability to work hands-on with cloud services (AWS), databases, APIs, and scripting languages at a practitioner level

Preferred

• Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
• Experience in Kubernetes, Docker or containers ecosystem, or experience in software development
• Experience influencing senior leadership through data driven insights
• Experience managing complex customer relationships and initiatives with considerable impact where the customer need, sales strategy, and opportunity are not defined
• Experience building internal tools or platforms using rapid-development frameworks (Streamlit, Retool, or similar)
• Hands-on experience with AI coding assistants, agentic development frameworks, or LLM-based automation (e.g., Bedrock Agents, Claude, autonomous coding tools)

Benefits

• Our inclusive culture empowers Amazonians to deliver the best results for our customers.
• If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.