Product Manager, Reputation Marketing & Insights

Description

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).

The work will challenge you to be resourceful, think big while staying connected to the details, translate stakeholder needs into functional solutions, and embrace a high degree of change and ambiguity  scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing.

Key job responsibilities

Reputation Marketing & Insights (RMI) is hiring a Product Manager - Technical to define the product and technology strategy for the team's internal tools ecosystem. You will 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. Product strategy, feature design, and technology approach are yours to define.

You will deliver independently with limited guidance.

Working with media, research, measurement, data science, and public policy teams - as well as external agency partners - you will identify where manual processes create drag and define product solutions that scale. You will 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.

You will align stakeholders across competing priorities, making smart trade-offs between speed-to-delivery and robustness, flexibility and standardization, sophistication and simplicity. You will 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). You will influence the strategic direction of how the team operates by building tools that change what's possible.

You will be accountable for product adoption, process efficiency gains, and stakeholder satisfaction. You will 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.

A day in the life

You will define product strategy and own the full lifecycle for a portfolio of internal tools - from requirements gathering through deployment. You'll build web applications and data integrations using AWS, evaluate and deploy AI-powered development tools and LLM-based agents, and drive stakeholder alignment across competing priorities. You'll make independent architecture decisions, automate processes that depend on individual heroics, and operationalize analytical outputs into production-ready tools accessible to non-technical users.

About the team

Our team strives to identify the persuasive return on investment for every dollar we spend. We build marketing plans that persuade our core audiences through best-in-class media tactics and measurement methodology that enables us to optimize towards the principles and platforms that achieve real-world outcomes at the expense of those that don't.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic 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 life cycles, 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,…