Product Manager, Reputation Marketing & Insights

About the role

The individual selected for this position will own the product strategy, roadmap, and delivery of internal applications and operational platforms that streamline workflows across Reputational Marketing & Insights (RMI).

Responsibilities

• Define the product and technology strategy for the team's internal tools ecosystem.
• Owning 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.
• Deliver independently with limited guidance.
• Identify where manual processes create drag and define product solutions that scale.
• Evaluate and leverage AI/ML tools, large language models, and agentic frameworks to accelerate development and augment team capabilities.
• Align stakeholders across competing priorities, making smart trade-offs between speed-to-delivery and robustness, flexibility and standardization, sophistication and simplicity.
• 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.
• Be accountable for product adoption, process efficiency gains, and stakeholder satisfaction.
• Develop mechanisms to capture voice-of-customer feedback from internal users and translate it into a prioritized product roadmap that balances near-term needs with long-term platform investments.

Qualifications

• 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 in 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 Qualifications

• 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 in 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).
• Track record of driving adoption of internal products through strong voice-of-customer practices and iterative improvement.
• Experience working in public affairs, communications, or marketing environments.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, NY, New York - $166,300.00 - $225,000.00 USD annually

USA, VA, Arlington - $151,200.00 - $204,600.00 USD annually

USA, WA, Seattle - $151,200.00 - $204,600.00 USD annually